Top Remote Senior Level Data & Analytics Jobs in Boston, MA

The Senior Data Scientist will lead care gap analyses and HCP segmentation projects, supporting strategic planning and mentorship within the team while leveraging advanced analytical techniques.

The Principal Sales Operations Analyst will leverage data and advanced analytics to drive sales performance, optimize operations, and deliver insights while mentoring junior analysts and collaborating across departments.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

This role focuses on post-sale technical execution, ensuring customer onboarding and deployment, driving customer consumption of products, writing production code, diagnosing issues, and expanding adoption across teams.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

Responsible for designing, developing, testing, and optimizing data integration solutions, focusing on financial month-end closure and ongoing production support.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

Manage a team of Data Analysts to provide actionable insights and dashboards for operational departments, overseeing business intelligence projects and collaborating with other teams to enhance data models.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.