Top Fitness Data & Analytics Jobs

Lead analytical efforts across product domains, manage a team of analysts, develop tools for analytics at scale, and influence product strategy through insights.

Design, build, and maintain scalable finance data pipelines and semantic models. Translate business needs into data structures, optimize production solutions, automate ETL/orchestration, document systems, and provide technical leadership to junior engineers while partnering with stakeholders and analytics teams to support timely, data-driven decisions.

Lead analytics for Medicare Advantage value-based contracts, providing medical cost and outcomes research, financial modeling, performance monitoring, and strategic recommendations. Manage complex provider relationships, ensure contract compliance, drive provider performance, advise on negotiations and deal terms, and integrate reporting to meet financial, clinical, and efficiency targets.

As a Senior Data Analyst, you'll define analytics strategies, implement data infrastructure, perform analyses, and leverage AI to enhance decision-making across the organization, focusing on personalized coaching outcomes.

Design, secure, troubleshoot, and maintain data ingestion pipelines to transform raw data into modeled datasets for analysis and reporting. Build analytical data models, implement dbt, orchestrate workflows (Airflow/Astronomer/Dagster), optimize SQL, and process large-scale cloud data.

Partner with Finance, Accounting, Supply Chain, and Operations to build, automate, and maintain sales, cost, and shipping reports across regions. Develop SQL/BigQuery queries, analyze carrier rates and landed costs, maintain COGS and P&L models, automate recurring reporting, respond to ad-hoc analysis requests, and recommend process improvements.

Hands-on internship collecting and managing force plate and motion-capture data, maintaining and calibrating performance equipment, collaborating with the performance team to analyze movement outputs, and contributing to reports that inform athlete training.

Design and maintain Looker/LookML data models and dashboards, perform end-to-end SQL analysis, ensure data quality with Data Engineering, build predictive models, and translate findings into actionable recommendations for cross-functional stakeholders.

Design, build, test, and support ETL/ELT data pipelines and data warehouse solutions. Integrate and cleanse data via APIs/webhooks, perform data profiling and modeling, enforce governance, maintain code in Git, troubleshoot pipeline issues, document systems, and collaborate with business and data teams.

Support development and maintenance of data pipelines, ETL processes, and data integrations. Assist with data infrastructure (databases, warehouses, lakes), implement data validation and quality checks, participate in code reviews, document processes, and collaborate with engineers and analysts while learning and following established standards.

Define and lead the technical architecture for a lakehouse on AWS, build production pipelines and data models for time-series and multi-source data, introduce data governance and catalog foundations, author platform playbooks (ADRs, runbooks, Terraform modules), deliver projects end-to-end, and mentor engineers while representing the platform to senior leadership and non-technical stakeholders.