Top Fitness Data & Analytics Jobs

Design, prototype, and deploy statistical and ML models for lifecycle marketing to drive acquisition, engagement, retention, and upsell. Run and evaluate experiments (A/B tests, bandits), collaborate with engineers/ML Ops to productionize models, and communicate insights to stakeholders.

Ensure customer data accuracy and reliability by validating backend systems, querying and analyzing healthcare datasets, troubleshooting ingestion and orchestration failures, monitoring workflows, supporting customer technical discussions, documenting investigations, and collaborating across teams to deliver scalable data quality solutions.

Lead reporting and analytics for large PBM clients: perform data pulls, build customized financial reports, review performance against contractual pricing commitments, develop analytic models, collaborate with clients and internal teams, support senior management decision-making, and deliver ad hoc financial impact analyses.

Develop predictive models and statistical analyses on structured and unstructured data to solve complex business problems. Collaborate with business partners to design experiments, interpret results, present analytics, and recommend data-driven solutions. Use advanced algorithms, programming, and machine learning techniques to explore large datasets and deliver actionable insights.

Join a data engineering team to design, build, and maintain data transformation and processing pipelines. Support analytics and data science partners by developing scalable ETL solutions, collaborating with product owners and engineers, and leveraging SQL, Python, Teradata, Unix, and cloud tools to improve healthcare outcomes.

Own forecasting and capacity planning for contact center and pharmacy operations. Build short- and long-term forecasts, translate them into staffing plans, analyze trends and variances, develop dashboards, support scenario modeling, and partner with Operations, Finance, HR, and Engineering to align hiring and optimize systems.

Lead end-to-end measurement, experimentation, and optimization of engagement programs. Design A/B and multivariate tests, analyze funnels and cohorts, own reporting and dashboards, validate data pipelines, and translate insights into strategic recommendations for clients and executives.

Own marketplace analytics and attribution, build source-of-truth dashboards, define and instrument product/growth metrics, run A/B experiments end-to-end, perform cohort LTV/payback analysis, support SEO and technical growth, and partner with AI to measure feature impact and accelerate analytics with AI tools.

Lead and build PushPress's data and AI foundation: define data strategy, architect pipelines and warehousing, ensure data quality and governance, enable AI product features, deliver analytics and reporting, and hire and grow a high-performing data team.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

The Director of Data Analytics will lead the analytics roadmap, develop success metrics across departments, and manage a growing data team while ensuring data governance.

The Data Analyst will analyze marketing and ecommerce data, build reporting, dashboards, and KPIs, and enhance marketing attribution modeling.