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Data Analytics Sr Data & Insights Analyst at Henry Schein One

Analyzes cross-functional business data to deliver insights on marketing performance, customer behavior, and operational metrics that drive strategic decisions.

Senior Remote Posted about 12 hours ago RemoteFirstJobs Product
What this role involves

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

The Sr Data & Insights Analyst plays a pivotal role in driving strategic growth and improving business outcomes for DentalPlans.com, a leading online marketplace for dental savings plans that empowers consumers to access affordable dental care.

As part of the Analytics team, you’ll partner with cross-functional stakeholders across Marketing, Product, Contact Center Operations, and Technology to deliver data-driven insights that inform key business decisions. You’ll be a key contributor in enabling, maturing, and scaling DentalPlans’ analytical capabilities as the foundation for continued growth.

Your work will span key areas across the business, including digital marketing performance, contact center sales and support optimization, customer segmentation, engagement, and retention, and financial and operational analytics and forecasting. You will collaborate closely with business stakeholders to understand core processes, challenges, and opportunities, and develop ad hoc analytics, dashboards, forecasts, segmentation strategies, and predictive models to uncover actionable insights across the entire customer lifecycle.

Success in this position requires a blend of business and technical skills, strong analytical and critical thinking, and the ability to connect data to meaningful business outcomes.

This role is remote within the United States with up to 10% travel as needed.

What You Will Do

  • Analyze acquisition, sales, engagement, retention, and operational data and related customer behavior and outcomes to identify opportunities for optimization and growth
  • Develop ad hoc and production dashboards, reports, visualizations, and other analyses to monitor key performance indicators and identify trends, drivers, anomalies, and areas for improvement
  • Query, prepare, explore, and leverage data across our internal data warehouse, CRM, contact center, and digital analytics platforms to synthesize actionable insights and inform business decisions
  • Develop and maintain sales forecasts and contribute to broader operational and revenue forecasting that informs planning and budgeting
  • Analyze subscription, billing, and payment data to track trends and surface opportunities for improvement
  • Conduct operational analysis across the member lifecycle – acquisition, onboarding, retention, and support – to identify root causes and improvement opportunities
  • Build advanced Excel models and analyses for ad hoc business questions and scenario planning

What We Are Looking For

Experience & Education

  • 5+ years of experience as a business or data analyst, preferably with a digitally focused, direct-to-consumer subscription-based model
  • Bachelor’s Degree in a related field such as business, statistics, economics, or a quantitative discipline is preferred; equivalent professional experience will also be considered in lieu of a degree

Analytical & Technical Skills

  • Analytically curious and insight-driven, with a passion for connecting the dots across data to improve business outcomes and enable growth
  • Proficient in SQL for querying large, complex data sets, and in R (or similar) for statistical analysis, forecasting, and business scenario modeling
  • Experience with data visualization/BI tools such as Domo or Power BI
  • Comfortable using AI tools (Copilot, Claude, and/or Cursor) to accelerate analysis, automate repetitive tasks, and surface insights faster, with genuine enthusiasm for adopting new AI capabilities as they emerge
  • Skilled at translating business needs into data requirements, key metrics, and actionable insights that support strategic decision-making
  • Experience designing experimental testing methodologies to identify and quantify the drivers and impact of product, marketing, and operational changes

Communication & Collaboration

  • Excellent verbal and written communication skills, with the ability to distill complex findings into clear, actionable presentations for non-technical stakeholders at all levels
  • Excellent interpersonal and conflict-resolution skills, with the ability to build trust across teams and communicate constructively even when findings challenge assumptions

Organization & Execution

  • Highly organized with excellent time management skills
  • Able to manage multiple projects and shifting priorities in a fast-paced, dynamic environment while maintaining quality and accuracy

What you’ll gain as a #TeamSchein member

The posted range for this position is $75,000 - $105,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc. This position is eligible for a bonus target not reflected in the range.

A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!

Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.

Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.

Read the full description
Data Analytics Senior Analytics, Implementation Specialist at Kepler

Translates client business and marketing requirements into digital analytics implementation guides, manages enterprise-wide tag management solutions, and ensures quality assurance across technical implementations.

Senior Posted about 12 hours ago RemoteFirstJobs Product
What this role involves

Napkyn Summary:

We believe in a world where data stimulates growth, creativity and inspiration. A world where people and technology work in concert to create new outcomes, new opportunities, and new customer connections.

We believe that data, harnessed properly, can spark powerful consumer insights, business transformation and marketing innovation.

We are a full stack Google partner with a 14 year track record of delivering solutions to leading brands across multiple industries.

As a Kepler Group company, Napkyn draws from Kepler’s strategic, technology- and data-driven marketing expertise to provide world-class Google marketing support.

The Napkyn team is guided by Kepler’s values:

  • Kepler prides itself on being a great place to work.  In fact, we’re proud to share that AdAge just recognized Kepler as the #7 Best Place to Work”, validating our investment in our team and our clients.
  • We’re transparent with our employees. You’ll hear updates on company financials, how we’re performing against bonus goals, and how we’re responding to challenges we face.
  • We’re growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company.
  • We’re fun, authentic, empathetic, and ever-in-motion. You’ll work with and learn from the smartest people in the industry and have a blast doing it.
  • We’re human. You’ll have an option to join Employee Resource Groups, DEI initiatives, and altruism efforts to bring positive societal impact.

About the role:

As a Senior Analytics Implementation Specialist, you understand a client’s business and marketing requirements for digital measurement and translate them into sophisticated guides to help IT and development teams strategically implement enterprise-wide digital analytics and tag management solutions.

This involves consulting IT departments and senior executive stakeholders, guiding them through implementation recommendations, performing exacting quality assurance on implementations, and providing training and ongoing services for their long term success.

Versatile and curious, you understand what technical rigour really looks like, but you’re driven by the value you create. You welcome collaboration with analysts, account executives and project managers alike to develop end-to-end solutions for our customers.

You engage in continuous professional development to evolve your craft, and are as happy to share what you learn with the rest of the team as you are to learn from them.

Primary Responsibilities:

  • Stay up to date with industry trends and technology developments.
  • Perform client-facing tasks such as presenting insights or providing training.
  • Collaborate with a cross-functional team to foster data-driven strategy and execution.
  • Deploy web and app measurement tools, such as Google Analytics.
  • Provide support on analytics and implementation for Napkyn analysts with root-cause analysis of issues and interruptions in measurement for our clients.
  • Provide recommendations on adoption of new tools and features as appropriate to client needs.
  • Serve as a resource for the latest trends and technologies within the digital analytics space.
  • Assist in improving the usability, efficiency, and overall effectiveness of our clients’ digital analytics tooling deployments.
  • Assist in evaluating the size and scope of customer problems as well as helping to determine a successful resolution.
  • Lead the team with site-wide audits of existing analytics implementations against web and app measurement best practices and create implementation recommendations for improvement.
  • Develop app and web measurement best practices and on-site technology requirements to generate high quality, easily-understood implementation guides for on-site deployments of Google Analytics.
  • Engage business and technical team stakeholders for feedback and validation.
  • Actively focus on the future-proofing, scalability, and ease of maintenance in all solutions.
  • Provide recommendations on adoption of new tools and features as appropriate to the client’s needs.
  • Participate in user testing with the internal team to ensure that components meet requirements for functionality and ease of use.
  • Develop and maintain an understanding of automation capabilities within the digital analytics platforms, tag managers and related software employed by the Data Solutions team.
  • Identify and contribute to the design of new internal tools and capabilities on the product roadmap, representing the Data Solutions team.
  • Develop an understanding of the deployment infrastructure behind Napkyn’s toolchain and contribute to its ongoing maintenance.

Required Skills & Experience:

  • Proficient in reading and writing JavaScript, in the context of both analytics deployments and web-based user interfaces.
  • A strong understanding of web technologies, in general.
  • Experience with tag management systems such as Google Tag Manager, Tealium, Adobe Launch, etc.
  • Experience with server-side tag management.
  • Experience with ecommerce implementation for Google Analytics.
  • Experience with Quality Assurance processes in digital analytics and app development.
  • Ability to effectively communicate with developers internally and in client organizations.
  • Strong critical thinking and problem-solving skills with attention to detail.
  • Strong writing and communication skills.
  • Team player, supportive of a collaborative team environment and culture.
  • Ability to prioritize projects and handle multiple tasks efficiently.
  • Comfort with or interest in presenting and speaking in front of small groups, most importantly in client meetings.

Preferred Skills & Experience:

As technology evolves rapidly, the field of digital analytics has broadened. Our implementation specialists are expected to build a widening range of skills through their work. Upon joining, a senior implementation specialist should have some of the following skills, knowledge or experience:

  • Familiarity with deploying and testing analytics tools in mobile apps for iOS and Android devices, especially using the Firebase SDK.
  • Experience with development environments, tools and processes for building software.
  • Certification in one or more Google Marketing Platform products.
  • Competency writing code in JavaScript, Python, Kotlin, Swift, Java or similar programming languages, in the context of web development, app development, or task automation.
  • Experience with Firebase app development or Google Cloud Platform more broadly.
  • Experience with product development or DevOps processes.

Reporting directly to: Director, Data Solutions

Location: Remote - based in Canada

Napkyn  welcomes and encourages applications from people with disabilities.  Accommodations are available upon request for applicants in all aspects of the selection process. We are committed to diversity of background, thought and experience, and we work to create an environment in which all our employees thrive by bringing their authentic self to work.

Kepler is a people first organization. If this role piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.

Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @keplergrp.com email address. Learn how to stay safe by clicking here

Read the full description
Data Analytics Sr Data & Insights Analyst at Henry Schein One

Senior analyst partners with cross-functional teams to deliver data-driven insights on marketing performance, customer segmentation, and operational metrics that inform strategic business decisions.

Senior Remote Posted about 12 hours ago RemoteFirstJobs Product
What this role involves

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

The Sr Data & Insights Analyst plays a pivotal role in driving strategic growth and improving business outcomes for DentalPlans.com, a leading online marketplace for dental savings plans that empowers consumers to access affordable dental care.

As part of the Analytics team, you’ll partner with cross-functional stakeholders across Marketing, Product, Contact Center Operations, and Technology to deliver data-driven insights that inform key business decisions. You’ll be a key contributor in enabling, maturing, and scaling DentalPlans’ analytical capabilities as the foundation for continued growth.

Your work will span key areas across the business, including digital marketing performance, contact center sales and support optimization, customer segmentation, engagement, and retention, and financial and operational analytics and forecasting. You will collaborate closely with business stakeholders to understand core processes, challenges, and opportunities, and develop ad hoc analytics, dashboards, forecasts, segmentation strategies, and predictive models to uncover actionable insights across the entire customer lifecycle.

Success in this position requires a blend of business and technical skills, strong analytical and critical thinking, and the ability to connect data to meaningful business outcomes.

This role is remote within the United States with up to 10% travel as needed.

What You Will Do

  • Analyze acquisition, sales, engagement, retention, and operational data and related customer behavior and outcomes to identify opportunities for optimization and growth
  • Develop ad hoc and production dashboards, reports, visualizations, and other analyses to monitor key performance indicators and identify trends, drivers, anomalies, and areas for improvement
  • Query, prepare, explore, and leverage data across our internal data warehouse, CRM, contact center, and digital analytics platforms to synthesize actionable insights and inform business decisions
  • Develop and maintain sales forecasts and contribute to broader operational and revenue forecasting that informs planning and budgeting
  • Analyze subscription, billing, and payment data to track trends and surface opportunities for improvement
  • Conduct operational analysis across the member lifecycle – acquisition, onboarding, retention, and support – to identify root causes and improvement opportunities
  • Build advanced Excel models and analyses for ad hoc business questions and scenario planning

What We Are Looking For

Experience & Education

  • 5+ years of experience as a business or data analyst, preferably with a digitally focused, direct-to-consumer subscription-based model
  • Bachelor’s Degree in a related field such as business, statistics, economics, or a quantitative discipline is preferred; equivalent professional experience will also be considered in lieu of a degree

Analytical & Technical Skills

  • Analytically curious and insight-driven, with a passion for connecting the dots across data to improve business outcomes and enable growth
  • Proficient in SQL for querying large, complex data sets, and in R (or similar) for statistical analysis, forecasting, and business scenario modeling
  • Experience with data visualization/BI tools such as Domo or Power BI
  • Comfortable using AI tools (Copilot, Claude, and/or Cursor) to accelerate analysis, automate repetitive tasks, and surface insights faster, with genuine enthusiasm for adopting new AI capabilities as they emerge
  • Skilled at translating business needs into data requirements, key metrics, and actionable insights that support strategic decision-making
  • Experience designing experimental testing methodologies to identify and quantify the drivers and impact of product, marketing, and operational changes

Communication & Collaboration

  • Excellent verbal and written communication skills, with the ability to distill complex findings into clear, actionable presentations for non-technical stakeholders at all levels
  • Excellent interpersonal and conflict-resolution skills, with the ability to build trust across teams and communicate constructively even when findings challenge assumptions

Organization & Execution

  • Highly organized with excellent time management skills
  • Able to manage multiple projects and shifting priorities in a fast-paced, dynamic environment while maintaining quality and accuracy

What you’ll gain as a #TeamSchein member

The posted range for this position is $75,000 - $105,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc. This position is eligible for a bonus target not reflected in the range.

A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!

Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.

Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.

Read the full description
Data Analytics Analista de BI SĂŞnior ( Python & SQL)

Senior BI analyst develops data insights and dashboards using Python and SQL to support business decision-making.

Senior Posted about 12 hours ago Himalayas
What this role involves
A Leega Ă© uma empresa focada no atendimento eficiente e inovador em seus clientes.
Read the full description
Data Analytics Senior Data Scientist – Customer Experience

Analyzes customer experience data and builds models to drive insights and decision-making for a skills development platform.

Senior Posted about 18 hours ago Jobicy AI
What this role involves
About Coursera Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered...
Read the full description
Data Analytics Senior Data Scientist – Customer Experience

Analyzes customer experience data and builds data models to drive business insights and inform product decisions.

Senior Posted about 18 hours ago Jobicy AI
What this role involves
About Coursera Coursera and Udemy are now one company, creating one of the world’s most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered...
Read the full description
Data Analytics Proxify AB: Senior Data Scientist

Senior Data Scientist develops machine learning models and data tools to solve business problems, translating complex challenges into actionable insights for stakeholders.

Senior Remote Posted 1 day ago We Work Remotely — Programming
What this role involves

Headquarters: Sweden
URL: http://career.proxify.io

The Role:

We are looking for a Senior Data Scientist for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products and growth features.

 

What we are looking for:

  • 5+ years of hands-on experience in Data Science field
  • Experience using SAS, SQL, R and/or Python
  • Experience with Business Intelligence tools like Qlik/Tableau/Power BI is highly desirable
  • Strong stakeholder management skills including advanced PowerPoint and presentation skills
  • Exposure to Big Data technologies like Hadoop, Spark, Hive etc. is a plus
  • Applied knowledge of data science techniques
  • Hands-on experience in data mining and application of machine learning techniques
  • Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

 

Responsibilities:

  • Develop tools to process data streams and static data
  • Translate business challenges into data science problems and applications
  • Communicate complex solutions in a clear, understandable way to non-experts
  • Design algorithms, build models and prototype solutions for multiple business areas
  • Build and maintain software solutions while contributing to large-scale object-oriented applications
  • Work on evolving data architectures and system solutions
  • Abstract complex business problems and determine how to use a combination of data to provide a clear, actionable and business-driven answer in a clear, compelling way



What we offer:

  Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.


Predictable project hours
Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.


Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.


Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies.


Hand-picked opportunities just for you Skip the typical recruitment roadblocks and biases with personally matched positions.


One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments.


Compensation Enjoy the same pay, every month with positions landed through Proxify.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-scientist-2

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Data Analytics Clinical Business Intelligence Analyst (EPIC)-Sr

Leads design and development of BI/data analytics initiatives including data warehousing, mining, structuring, and visualization for healthcare organization.

Senior Posted 1 day ago Himalayas
What this role involves
Under limited supervision, the Business Intelligence Analyst will champion and provide leadership, and support for the ongoing design, development, and advancement of diverse BI/Data Analytics pursuits focused on data warehousing, data mining, data structuring, data analytics, advanced visualization, and related technologies in furthering the missions of UT Health San Antonio.
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Data Analytics Mercury: Customer Support Systems & Analytics Architect

Architect data strategy and analytics infrastructure for customer support operations, building dashboards, defining data governance standards, and translating insights into actionable recommendations for leadership.

Senior Remote Posted 3 days ago We Work Remotely — Programming
What this role involves

Headquarters: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

We’re looking for a Customer Support Systems & Analytics Architect to own the data strategy and reporting function within the Customer Support organisation at Mercury. As our operations grow in complexity—spanning multiple channels, an expanding BPO model, and sophisticated AI automation—we are moving away from fragmented, project-based data support toward a model of holistic ownership.

In this role, you will be responsible for how we capture, structure, and connect data across our CS systems - including Zendesk and our AI Agent - to drive informed decision-making across the team. You will ensure our systems are configured in a way that produces reliable, high-quality data, and you will translate that data into actionable insights for CS leadership and stakeholders. You’ll sit at the intersection of data, operations, and customer experience, partnering closely with CS leadership, Strategy and Ops, and cross-functional teams like Data to make sure our reporting infrastructure is built to scale. Your work will be foundational to how the CS organisation measures performance, identifies opportunities, and drives decision-making.

 

Key Responsibilities

  • Unified reporting and analytics: Actively build and maintain reports and dashboards that give the CS organisation clear visibility into key performance metrics, trends, and performance across channels, teams and projects  - from our internal Support team to our BPO partners. 
  • CS Systems configuration and data governance: Work closely with systems admins to advise on the structural setup of our Zendesk instance across customer-facing teams, ensuring it is configured to generate clean, consistent, and reliable data while maintaining secure systems and efficient workflows.
  • Data hygiene standards: Define and enforce standards for how data is captured across CS systems so that reporting is accurate, trustworthy, and reproducible
  • AI automation data oversight: Monitor and analyse data from our AI chatbot, ensuring it is tracked in a way that supports quality reviews and decision-making across the CS organisation
  • Insights to action: Translate raw data and reporting into clear recommendations that help CS leadership make decisions on resourcing, tooling, process improvements, and strategy
  • Stakeholder support: Partner with cross-functional partners in areas like Product, Data and Strategic Finance to understand their data needs and deliver reporting that supports their goals
  • Systems evaluation: Assess the data capabilities of existing and new CS tools, and make recommendations on how to optimise our systems stack for better reporting outcomes
  • Process documentation: Document data structures, reporting methodologies, and system configurations to ensure institutional knowledge is retained and accessible across the team

What You Bring to the Table

  • 5-8 years of experience in a data analyst, business intelligence, or systems analyst role, ideally within a customer support or operations environment
  • Hands-on experience with Zendesk administration and configuration, including views, fields, triggers, and reporting, as well as using Zendesk Analytics to build reports and dashboards
  • Fluency in SQL and experience working with data and BI tools such as Omni, Metabase, or similar
  • Strong analytical thinking with the ability to turn complex datasets into clear, actionable insights
  • Experience building and maintaining dashboards and reports for non-technical stakeholders
  • Deep understanding of data hygiene principles and how system configuration impacts data quality
  • Excellent communication skills, with the ability to present data findings clearly to stakeholders at all levels
  • Collaborative mindset with experience working cross-functionally across teams such as Operations, Product, and Engineering

The Ideal Candidate Will Also Have

  • Experience working with AI chatbot or conversational analytics platforms
  • Familiarity with other CS tools such as Intercom, Guru, or Rippit (formerly known as MaestroQA)
  • Experience working in a high-growth SaaS or fintech environment
  • Background in supporting data-driven workforce planning or CS strategy initiatives

 

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

  • US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $154,200 - $192,800
  • US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $138,800 - $173,500
  • Canadian employees (any location): CAD $145,800 - $182,200

 

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

#LI-AS1

 

To apply: https://weworkremotely.com/remote-jobs/mercury-customer-support-systems-analytics-architect

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Data Analytics Senior Data Scientist, AI Product Insights at Mixpanel

Embed data science expertise into product engineering, developing AI-driven analytics features like causal inference signals, forecasting, and cohort detection.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Mixpanel

Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com.

About the Team

The Proactive Insights team is a newly formed team at the center of Mixpanel’s AI-first analytics vision. With a greenfield charter, we’re building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you.

We answer the question every data-driven team asks: “What changed, why, and what should I do about it?” We proactively keep users informed about what matters in their data, delivering the right insights and recommendations at the right time, to the right places, both inside and outside of Mixpanel.

Some examples of what we are building:

  • Signals: Statistical analysis that automatically identifies which user behaviors cause downstream business outcomes — such as which actions genuinely improve 30-day retention — using causal inference to move beyond correlation
  • Forecasting: Time-series modeling that projects whether a KPI (e.g. Signups) will hit its goal by end of quarter — including trend decomposition, seasonality adjustment, and confidence bands against a target.
  • Simulation: Causal impact modeling that estimates how moving one metric (e.g. weekly sharing rate) by a given amount will ripple through to downstream KPIs like retention or revenue — giving teams a quantified basis for prioritization
  • Cohort Detection: Automated identification of at-risk user cohorts by finding active users who resemble known churned segments across both behavioral patterns and descriptive characteristics, before they churn. Offline batch survival analysis models that estimate each user’s probability of a future outcome (e.g. likelihood to churn or convert within 30 days).

About the Role

As the first Data Scientist embedded in product engineering, you’ll champion integrating cutting-edge data science techniques into Mixpanel’s products and serve as a methodological resource for cross-functional teams tackling problems that benefit from deeper DS expertise — such as adaptive experimentation. You won’t just advise on Proactive Insights; you’ll be the analytical brain driving how Signals, Forecasting, Simulation, Predictions, and Cohort Detection actually work.

Your models are the reasoning layer behind an AI system that proactively tells customers what changed, why, and what to do next — and increasingly, the layer behind an agent that acts on their behalf. As more of this experience becomes agentic, rigorous causal grounding is what separates a trustworthy recommendation from a plausible-sounding one. You’ll be the person who makes sure it’s the former.

You’ll design and validate causal inference approaches that go beyond surface-level correlation, and partner on how those outputs get translated — often via LLMs — into clear, natural-language, actionable experiences for Mixpanel’s customers: you own the rigor, the system owns the explanation. You’ll partner closely with strong product engineers who own the implementation — your job is to make sure the methodology is rigorous, well-documented, and grounded in real outcomes. You’ll also collaborate cross-functionally with teams like AI platform, analysis, and data infrastructure to scale your analytic solutions beyond what you could build alone.

This is a high-impact, high-autonomy role on a small, fast-moving team. You’ll have significant influence over the analytical direction of a new product category at Mixpanel that helps thousands of companies understand what truly drives their most important metrics.

Responsibilities

  • Own the end-to-end analytical design for Signals, Forecasting, Simulation, and Cohort Detection — including methodology selection, statistical validation, and iteration based on results
  • Assess data quality and trust prerequisites before extending forecasting or predictive features to customers — a model is only as trustworthy as the data feeding it
  • Design and apply causal inference methods to move beyond correlation and establish which user behaviors genuinely drive downstream business outcomes
  • Build and own time-series forecasting models that project KPI trajectories against goals — extending our existing use of TimesFM into customer-facing forecasting features
  • Build survival analysis and retention models that underpin Signals and Simulation outputs
  • Develop clustering and behavioral similarity approaches for Cohort Detection that are both statistically sound and interpretable to end users
  • Document methodology clearly — including assumptions, validation approaches, and expected output behavior — so engineers can implement reliably without ambiguity
  • Review and validate that production results match expected statistical behavior, partnering with engineers on edge cases and anomalies
  • Establish rigor around statistical significance, multiple testing correction, and uncertainty quantification so customers can trust what they see
  • Work cross-functionally with internal stakeholders, including Finance and Data Science, to ensure analytical outputs are grounded in real business outcomes
  • Communicate findings and methodology clearly to Product and Engineering — translating statistical concepts into plain language

We’re Looking For Someone Who Has

  • MS or PhD in Statistics, Economics, Mathematics, or a related quantitative field — or equivalent industry experience with demonstrated causal inference expertise
  • 5+ years of experience applying statistical modeling to real-world product or business problems
  • Hands-on causal inference experience — propensity score matching, regression discontinuity, difference-in-differences, or instrumental variables — with the judgment to choose the right method for a given problem
  • Experience with survival analysis or retention modeling (e.g. Cox proportional hazards, Kaplan-Meier)
  • Strong Python fluency across the analytical stack — statsmodels, scikit-learn, pandas, and equivalent libraries for survival analysis, clustering, and time-series modeling
  • Experience with time-series forecasting methods — classical approaches (ARIMA, exponential smoothing) and/or modern foundation models such as TimesFM, Chronos, or similar
  • Experience with clustering and similarity methods applied to behavioral or user data
  • Strong statistical communication — you can explain a propensity score or a survival curve to a PM without losing them
  • SQL fluency for data access, exploration, and validation
  • Comfort working in a product environment where analytical rigor and practical delivery go hand in hand

Bonus Points For

  • Experience working with large-scale behavioral event data (product analytics, growth, or similar domains)
  • Familiarity with feature engineering from raw event streams
  • Experience with structural equation modeling or causal DAGs for multi-metric impact modeling (directly applicable to Simulation)
  • Familiarity with how offline batch analyses are productionized, even if you’re not implementing them yourself
  • Comfort working directly in a production codebase alongside engineers
  • Experience at an analytics, observability, or growth platform
  • Experience evaluating or grounding LLM-generated explanations or recommendations against statistical outputs (e.g. hallucination or consistency checks on AI-generated insights)
  • Comfort using AI coding tools (Claude Code, Cursor, etc.) to accelerate modeling iteration

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range

$226,000—$266,000 USD

Benefits and Perks

  • Comprehensive Medical, Vision, and Dental Care
  • Mental Wellness Benefit
  • Generous Vacation Policy & Additional Company Holidays
  • Enhanced Parental Leave
  • Volunteer Time Off
  • Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

*please note that benefits and perks for contract positions will vary*

Culture Values

  • Make Bold Bets: We choose courageous action over comfortable progress.
  • Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
  • One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
  • Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
  • Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.
  • Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

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Data Analytics Senior Business Analyst at Dev Technology Group, Inc.

Senior Business Analyst validates operational requirements, facilitates stakeholder workshops, and maintains traceability between business needs and technical implementation for federal government scheduling systems.

Senior Hybrid Posted 3 days ago RemoteFirstJobs Product
What this role involves

Senior Business Analyst

Requirements Validation • Business Process Analysis • Stakeholder Partnership

Location: Fall Church, VA -  Client Site (Hybrid – onsite 3 days a week)

Clearance: US citizenship and the ability to obtain a DOJ public trust

A Role with Purpose and Impact

Dev Technology is supporting the modernization of a mission-critical scheduling and workflow solution for the federal government. This role exists to ensure that operational needs are understood, validated, prioritized, and translated into requirements that implementation teams can act on with confidence.

You will work closely with Government stakeholders, operational users, architects, developers, testers, and project leadership. The work calls for strong facilitation, disciplined analysis, and the judgment to uncover gaps, conflicts, dependencies, and risks before they become delivery issues.

This role is designed for a senior analyst who values partnership, clarity, and traceability — helping teams move from complex mission needs to practical, testable, and durable solutions.

Requirements Leadership and Operational Delivery

This role blends requirements leadership with hands-on delivery. You will:

  • Validate, refine, prioritize, and baseline functional and non-functional requirements for phased implementation
  • Facilitate stakeholder workshops to confirm operational workflows such as scheduling, assignment, reassignment, tracking, check-in/check-out, and invoicing
  • Identify and document requirement gaps, conflicts, assumptions, dependencies, risks, and in-scope versus out-of-scope system boundaries
  • Maintain the requirements traceability matrix and connect business needs to design, configuration, testing, and deployment outcomes
  • Partner with technical teams to translate operational needs into workflows, business rules, roles, permissions, interfaces, and acceptance criteria

You will remain close to the work: preparing process models and requirements artifacts, supporting design reviews, coordinating user acceptance testing, and helping resolve defects or ambiguities throughout the delivery lifecycle.

Who Thrives Here

People who thrive in this role bring a thoughtful, grounded approach to delivery. They:

  • Listen carefully and create shared understanding across business and technical audiences
  • Ask thoughtful questions and surface missing information early
  • Bring structure to ambiguity without losing sight of real operational needs
  • Write clearly and maintain disciplined, usable requirements documentation
  • Build trust through preparation, follow-through, and respectful facilitation
  • Are comfortable working in a federal environment with formal reviews and approvals

This role offers the opportunity to shape a high-impact modernization effort from requirements validation through production deployment. You will influence how mission workflows are implemented, tested, and improved while helping Government and delivery teams make informed decisions.

Key Responsibilities

  • Review and validate Government-provided business, functional, and non-functional requirements
  • Conduct discovery sessions, interviews, workflow reviews, and formal requirements validation meetings
  • Document current-state and future-state processes, business rules, use cases, user stories, and acceptance criteria
  • Maintain the RTM and requirements baselines throughout the system development lifecycle
  • Support configuration and design reviews and track stakeholder issues, concerns, concurrence, and approvals
  • Develop or support UAT scenarios, test cases, and real-world operational validation
  • Assist with defect triage, retesting, data mapping, migration validation, and operational readiness
  • Identify AI-enabled requirements and distinguish optional AI-supported capabilities from core functionality
  • Help ensure mission-essential workflows remain fully operable without AI features

Required Qualifications

  • 8+ years of progressive business analysis experience supporting complex technology implementations
  • Experience developing BRDs, requirements specifications, RTMs, process maps, user stories, use cases, and acceptance criteria
  • Demonstrated experience leading stakeholder workshops and requirements reviews
  • Experience supporting COTS, SaaS, PaaS, or configurable enterprise solutions
  • Working knowledge of Agile, hybrid, and traditional SDLC methodologies
  • Strong written communication, facilitation, analytical, and stakeholder-management skills
  • Bachelor’s degree in business, information systems, public administration, or a related field, or equivalent experience

Preferred Qualifications

  • Experience supporting federal government programs or justice/court operations
  • Experience with scheduling, case management, workflow, or resource-assignment systems
  • Experience supporting UAT, data migration, integrations, and production cutover
  • Business analysis certification such as CBAP, CCBA, PMI-PBA, or equivalent

Our estimated salary range for this position is $76,000 - $140,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on experience, geographic location, and possibly contractual requirements as appropriate to the role. *Salary could fall outside of this range.

Who We Are

Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client’s missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.

As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy:

  • Generous and flexible time-off policy
  • Flexible work schedules and telework options, including remote work availability for eligible projects
  • Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
  • Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more
  • 401K matching with a 5% matching contribution
  • Regular team and company social events including our annual party, happy hours, fitness challenges, and more
  • A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts
  • To learn more about working at Dev Technology, visit Working At Dev Technology Group

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.

SMS Terms and Privacy Notice

Dev Technology Group offers you the option to engage in SMS text conversations about your job application. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. By opting-in to receiving SMS text messages about your job application, you acknowledge and agree that your consent data, mobile number, and personal information will be collected and stored solely for the purpose of providing you with updates and information related to your job application. No mobile information will be shared with third parties/affiliates for marketing/promotional purposes. All the above categories exclude text messaging originator opt-in data and consent; this information will not be shared with any third parties.

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Data Analytics Senior Data Analyst at Cloudflare

Senior Data Analyst provides actionable analytics and insights to business partners while scaling growth and adoption analytics initiatives across the organization.

Senior Onsite Posted 4 days ago RemoteFirstJobs Product
What this role involves

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: London

About the Team

The Cloudflare Data Intelligence & Analytics (DIA) team has built a unified data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations.

Our goals are to:

  • Democratize data & intelligence for humans and agents
  • Build a context layer and an AI systems layer upon our unified data & content platform
  • Support Cloudflare’s critical business needs

DIA is a ~ 75-member strong geographically distributed but organizationally centralized team. This role is within the growth & adoption analytics pod based in London that works across several business functions, offering broad exposure to Cloudflare’s entire business.

Role Summary

We are looking for an experienced Senior Data Analyst in London to scale our growth & adoption analytics initiatives. You will be a trusted data advisor to our business partners, a technical coach to your peers, and the lead in terms of shaping AI-first data models, workflows, and agent-ready-datasets.

Success in this role will rely on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence adoption. This role also requires a deep understanding of data infrastructure, job orchestration, and lineage, all with the use of AI-tooling as default.

Role Responsibilities

  • Own the development and maintenance of agent-ready curated datasets end-to-end
  • Provide analytics support and a strategic perspective to our business partners
  • Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems
  • Review Merge Requests created by your team of humans and agents
  • Take initiative to gather requirements, define, build, and maintain pipelines and metrics
  • Tell easily digestible and highly actionable stories with data to help stakeholders understand analytical insights

Role Requirements

  • B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
  • Demonstrable proficiency with analytics-relevant AI-tooling
  • 4+ years experience in a centralized data analytics teams in close partnership with business stakeholders
  • Expert-level proficiency in writing and optimizing complex SQL queries is mandatory, with a proven ability to performance-tune complex queries and manage analysis workflows against large, petabyte-scale datasets (Candidates will be assessed on advanced SQL skills including window functions and common table expressions (CTEs))
  • 3+ years experience working in version control environments using platforms such as Gitlab or Github
  • 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer
  • 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms)
  • Initiative, curiosity, strong stakeholder engagement, and empathy
  • Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders

Nice-to-Have Experience

  • Experience and/or a keen interest in internet security, protocols, and edge-development
  • Analytics experience in a fast-growing technology, SaaS, or subscription-based business
  • Experience with statistical analysis programming languages (Python, R etc.)

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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Data Analytics Business Intelligence Architect

Designs and implements enterprise business intelligence solutions and data analytics strategies for a government case management modernization program.

Senior Posted 4 days ago Himalayas
What this role involves
Type of Requisition:PipelineClearance Level Must Currently Possess: NoneClearance Level Must Be Able to Obtain: NonePublic Trust/Other Required:NoneJob Family: Data Science and Data EngineeringJob Qualifications:Skills:Business Intelligence Strategy, Data Analytics, Enterprise Business IntelligenceCertifications:NoneExperience:10 + years of related experienceUS Citizenship Required:NoJob Description: Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program.
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Data Analytics Managing Consultant Data Scientist at Excella

Managing Consultant Data Scientist leads data science initiatives and solves complex analytical problems for clients at a consulting firm.

Senior Remote Posted 5 days ago RemoteFirstJobs Product
What this role involves

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

  • Workplace locations look different for everyone. Excellians are a distributed workforce and whether you’re working from your home office or a client site, we support a flexible work/life integration regardless of your location.
  • We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
  • Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
  • Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
  • Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
  • With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
  • We’ll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
  • We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

Managing Data Scientists at Excella leverage AI, machine learning, advanced statistical techniques to drive meaningful insights and solutions for clients. They provide strategic leadership in data science projects for clients and mentor team members to become better AI/ML engineers. They lead in architecture and pipeline designs allowing for reproducible and traceable AI solutions.

Responsibilities

  • Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
  • Partner with client stakeholders to understand business challenges and develop data-driven strategies.
  • Oversee data acquisition and integration, ensuring data quality and reliability.
  • Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
  • Guide the deployment and integration of predictive models into business applications.
  • Develop and implement strategies for optimizing model performance and monitoring over time.
  • Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
  • Mentor and support junior and senior team members in data science methodologies and best practices.
  • Influence data governance and best practices within the organization.
  • Work directly with client stakeholders to define and lead analysis objectives and translate them into actionable results.

Qualifications

  • 3+ years of experience leading teams to design, develop and deploy scaled, highly performant AI/ML solutions, preferrably in sensitive contexts
  • Experience with leading Agile AI/ML teams, including AI incubators. Strong background in leading data science teams and mentoring junior data scientists.
  • Experience developing and deploying Generative AI applications in high security contexts
  • 9+ years of experience in predictive analytics in languages like Python or Scala.
  • 9+ years of experience applying data science techniques, such as clustering analysis, anomaly detection, tree-based models, ensemble methods, neural networks
  • Experience tracking model performance through product development lifecycle. Experience using AI/ML pipeline management and tracking tools (MLFlow, DataBricks)
  • Proficiency with relational databases (Oracle, SQL Server, PostgreSQL) and Big Data platforms (Hadoop/Spark). Including querying to extract data from multiple source systems.
  • Experience using natural language processing techniques, including Generative AI.
  • Preferred: Experience applying advanced analytics for fraud detection and prevention.
  • Excellent communication skills for engaging with stakeholders at all levels, including executives.
  • Self-motivated with the ability to manage tasks and estimate time requirements effectively. Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
  • Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged.
  • Experience working in an Agile Scrum framework

This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range.

Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. Certain eligibility and pro-ration rules apply.

Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well.

Pay Range

$167,000—$225,000 USD

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact Recruiting@excella.com or 703-840-8600.

KNOW YOUR RIGHTS

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Data Analytics Senior Data Scientist at Taboola

Senior Data Scientist designs and builds ML models for recommendation and ranking algorithms, taking end-to-end ownership from design through production deployment and maintenance.

Senior Onsite Posted 5 days ago RemoteFirstJobs Product
What this role involves

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users  —  and building agentic AI systems alongside it.

The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

To thrive in this role, you’ll need:

  • Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
  • 5+ years of hands-on experience in Python and Java
  • Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
  • SQL proficiency for data exploration and analysis
  • System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure.
  • Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain —  using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot).
  • Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly
  • Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Bonus points if you have:

  • Experience with recommendation systems, ranking algorithms, or personalization at scale
  • Familiarity with real-time ML and large-scale data mining

How you’ll make an impact:

  • Design and build predictive customer behavior models for targeting and personalization
  • Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production
  • Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows.
  • Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process.
  • Present findings to the product team and technical team leads in a clear and actionable way.
  • Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
  • Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

  • Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
  • Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.
  • Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
  • Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$138,500—$185,000 USD

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Data Analytics Sr. Data Analyst at Felix

Senior Data Analyst partners with product and leadership to build analytics infrastructure, define KPIs, and translate complex data into actionable recommendations that drive product strategy and business growth.

Senior Posted 5 days ago RemoteFirstJobs Product
What this role involves

About The Role

As a Senior Data Analyst, you will partner closely with Product, Marketing, Engineering, and Leadership to shape how the company measures success, identifies growth opportunities, and makes data-informed decisions. You will develop scalable data models, establish analytical frameworks, and translate complex data into clear, actionable recommendations that influence product strategy and business outcomes. You will own analyses that evaluate product performance and customer behaviour, using cohort/retention analysis and funnel analytics to uncover what drives sustainable growth. You thrive as a generalist, moving seamlessly between evaluating the potential of new categories and diagnosing changes across established ones.

You Will:

  • Serve as a technical expert and end-to-end owner of product data sources, analytics infrastructure, data models, and measurement frameworks

  • Define and monitor KPIs that determine the health of a category (adoption, retention, conversion, unit economics, cross-sell, etc.)

  • Partner with Product to evaluate feature adoption, identify opportunities, and influence roadmap prioritization through data

  • Design measurement frameworks to evaluate product launches, experiments, and strategic initiatives

  • Identify drivers of customer retention through cohort analysis and recommend opportunities to improve long-term engagement

  • Improve analytical processes and automate recurring workflows that enable faster, more reliable product decision-making

  • Lead the development and maintenance of dbt data models and orchestrations, ensuring accuracy, modularity, and performance optimization

  • Build trusted, self-serve reporting and semantic data models that enable teams to answer questions independently

  • Translate ambiguous business questions into structured analyses with clear recommendations and present those findings to senior stakeholders in a way that drives decisions

You Have:

  • 5+ years of experience in data roles

  • Expert SQL skills with experience writing performant, maintainable, and well-tested queries

  • Experience building and maintaining analytics workflows with dbt

  • Strong version control skills with Git

  • Proven experience with retention/cohort analysis and funnel/conversion analysis

  • Familiarity with statistical experimentation and A/B testing principles

  • Experience working on new product, market, or category launches is a strong plus

  • Strong project management and communication skills, with a results-oriented mindset

Benefits

  • Full medical, dental and vision benefits

  • Maternity/paternity policy

  • 4 weeks vacation (3 weeks anytime + 1 week during the holidays)

  • Competitive compensation

  • Stock option grant

  • Remote first, work from anywhere in Canada

  • Professional development opportunities, working closely with founders and the senior leadership team

Open vacancy: This posting is for an existing vacancy at the company.

Our commitment to an inclusive team culture means embracing diversity and offering equitable access to opportunities and resources for people who might otherwise be excluded. During our recruitment process, we provide accommodations at any stage. Candidates can communicate their accommodation needs to the hiring manager directly or by emailing accessibility@felixforyou.ca.

Recruitment Fraud Alert

Please note: We have been made aware of fraudulent recruiting activities where individuals pose as Felix representatives.

  • Communication: We will only ever contact you from an official @ felixforyou.ca email address.

  • Interviews: All interviews are conducted via Google Meet; we never interview via text-only platforms (like Telegram or WhatsApp).

  • Payments: We will never ask for credit card information, bank details, or payments for “equipment” or “onboarding” during the application process.

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Data Analytics Managing Consultant Data Scientist at Excella

Managing Consultant Data Scientist leads data science initiatives and client engagements, combining technical expertise with team leadership to deliver analytics solutions.

Senior Remote Posted 5 days ago RemoteFirstJobs Product
What this role involves

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

  • Workplace locations look different for everyone. Excellians are a distributed workforce and whether you’re working from your home office or a client site, we support a flexible work/life integration regardless of your location.
  • We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
  • Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
  • Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
  • Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
  • With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
  • We’ll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
  • We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

Managing Data Scientists at Excella leverage AI, machine learning, advanced statistical techniques to drive meaningful insights and solutions for clients. They provide strategic leadership in data science projects for clients and mentor team members to become better AI/ML engineers. They lead in architecture and pipeline designs allowing for reproducible and traceable AI solutions.

Responsibilities

  • Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
  • Partner with client stakeholders to understand business challenges and develop data-driven strategies.
  • Oversee data acquisition and integration, ensuring data quality and reliability.
  • Apply and refine machine learning and predictive modeling techniques to solve complex business problems.
  • Guide the deployment and integration of predictive models into business applications.
  • Develop and implement strategies for optimizing model performance and monitoring over time.
  • Present findings and recommendations to executives, translating complex data concepts into actionable business strategies.
  • Mentor and support junior and senior team members in data science methodologies and best practices.
  • Influence data governance and best practices within the organization.
  • Work directly with client stakeholders to define and lead analysis objectives and translate them into actionable results.

Qualifications

  • 3+ years of experience leading teams to design, develop and deploy scaled, highly performant AI/ML solutions, preferrably in sensitive contexts
  • Experience with leading Agile AI/ML teams, including AI incubators. Strong background in leading data science teams and mentoring junior data scientists.
  • Experience developing and deploying Generative AI applications in high security contexts
  • 9+ years of experience in predictive analytics in languages like Python or Scala.
  • 9+ years of experience applying data science techniques, such as clustering analysis, anomaly detection, tree-based models, ensemble methods, neural networks
  • Experience tracking model performance through product development lifecycle. Experience using AI/ML pipeline management and tracking tools (MLFlow, DataBricks)
  • Proficiency with relational databases (Oracle, SQL Server, PostgreSQL) and Big Data platforms (Hadoop/Spark). Including querying to extract data from multiple source systems.
  • Experience using natural language processing techniques, including Generative AI.
  • Preferred: Experience applying advanced analytics for fraud detection and prevention.
  • Excellent communication skills for engaging with stakeholders at all levels, including executives.
  • Self-motivated with the ability to manage tasks and estimate time requirements effectively. Continuous learning mindset with a passion for staying up to date on emerging data science technologies.
  • Familiarity with DevOps Research and Assessment (DORA) and its capabilities is encouraged.
  • Experience working in an Agile Scrum framework

This range represents the minimum and maximum base salary that Excella reasonably and in good faith expects to pay for this role. Actual compensation within the range will depend on factors such as skills, experience, training, certifications, and organizational needs. It is not typical for an individual to be hired at or near the top or bottom of the range.

Your pay also includes the opportunity for an annual bonus in addition to the base salary. This variable pay opportunity is dependent upon the attainment of shared firmwide goals and objectives as determined by Excella’s Executive Team. Certain eligibility and pro-ration rules apply.

Should your experience and knowledge qualify you for a different position or title within Excella, we may consider you for positions that better align with your qualifications. In that case, we will provide the range for those positions as well.

Pay Range

$167,000—$225,000 USD

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact Recruiting@excella.com or 703-840-8600.

KNOW YOUR RIGHTS

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Data Analytics Senior Data Scientist at Taboola

Design, build, and deploy machine learning models for recommendation and ranking algorithms serving 600M+ daily users, with end-to-end ownership from prototyping to production maintenance.

Senior Onsite Posted 5 days ago RemoteFirstJobs Product
What this role involves

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola’s performance advertising platform serving 600M+ daily active users  —  and building agentic AI systems alongside it.

The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

To thrive in this role, you’ll need:

  • Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
  • 5+ years of hands-on experience in Python and Java
  • Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
  • SQL proficiency for data exploration and analysis
  • System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure.
  • Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain —  using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot).
  • Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly
  • Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Bonus points if you have:

  • Experience with recommendation systems, ranking algorithms, or personalization at scale
  • Familiarity with real-time ML and large-scale data mining

How you’ll make an impact:

  • Design and build predictive customer behavior models for targeting and personalization
  • Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production
  • Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows.
  • Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process.
  • Present findings to the product team and technical team leads in a clear and actionable way.
  • Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
  • Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

  • Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
  • Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.
  • Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
  • Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range

$138,500—$185,000 USD

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Data Analytics Analista de Dados III - Vaga Temporária 8 meses

Senior data analyst performs data analysis, reporting, and visualization work for a global beauty conglomerate on an 8-month contract.

Senior Posted 5 days ago Himalayas
What this role involves
Um dos maiores grupos de beleza do mundo, o Grupo Boticário é uma empresa brasileira presente em mais de 40 países.
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Data Analytics Senior Analyst, Customer Success Operations

Analyzes customer success operations data and metrics to optimize processes and drive business insights for internal teams.

Senior Posted 6 days ago Jobicy AI
What this role involves
About AlphaSense:  The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from...
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