Top Remote Senior Level Analytics Jobs in Dallas, TX

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.

The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.

The Senior Analyst will support PACE organizations with feasibility assessments, policy analysis, operational planning and improvements, while leading client projects and delivering strategic recommendations. The role involves conducting research and effectively communicating insights to clients, particularly focused on Medicare and Medicaid populations.

The Sr. Compensation Analyst at GeneDx is responsible for designing and implementing compensation programs that align with organizational goals. Key duties include strategic development of compensation structures, collaborating with various departments for compensation guidance, conducting job evaluations, leading annual compensation reviews, and providing data-driven insights for program enhancements.

The Senior Data Analyst at Esusu will focus on data products and analytics, transforming data into insights. Responsibilities include collaborating with managers, mentoring peers, building data pipelines, and creating visualization models using technologies like Python and Tableau.

The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.