Top Fitness Data & Analytics Jobs

The Business Analytics Manager will partner with Lifecycle Marketing to enhance member communications, drive engagement, and inform strategic decisions using data analysis and insights.

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

The Senior Analyst will develop data solutions using SAS, SQL, and Power Platform tools, optimizing processes and delivering insights to enhance healthcare outcomes.

Design, develop, and maintain data pipelines and analytics infrastructure to support developer productivity and engineering metrics. Collaborate closely with teams for actionable insights and ensure data quality and performance across platforms.

The Senior Analyst, Corporate Compliance will automate processes, analyze data, and improve workflows using various tools and technologies. Responsibilities include presenting findings and creating documentation for technical solutions.

The Product Scientist will manage client relationships and analytics for MLB and NCAA teams, validate model outputs, support sales, and enhance the platform with insights.

As a Senior Data Analyst, you will analyze data to provide insights for business improvement, develop reporting pipelines, and collaborate with various teams to optimize marketing and consumer insights.

The Business Strategy & Training Analyst evaluates North America market initiatives through data analysis, reporting, and insights generation. This role includes managing project timelines, coordinating cross-functional teams, and providing data-driven recommendations to enhance decision-making and operational efficiency.

The Senior Data Analyst role involves data collection, analysis, dashboard creation, and collaboration with various teams to inform business decisions and optimize processes.

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.

The Principal Data Engineer will design and evolve data architecture, build data transformation workflows, and ensure integration of diverse data sources while enabling AI and analytics capabilities.

The Data Engineer will design and maintain data pipelines, collaborate with teams on data needs, and ensure data integrity and quality while leveraging AWS services.