Top Remote Senior Level Data Analysis Jobs in Boston, MA

As a Senior Product Analyst, you will conduct complex quantitative analysis for property & casualty products, manage projects, develop analytical strategies, and communicate findings with stakeholders to enhance product performance.

The Senior Statistical Programmer will program and validate datasets for clinical trials, oversee deliverables, manage projects, and ensure compliance with industry standards. Requires strong skills in SAS and R for statistical programming.

Lead financial analytics for risk adjustment by integrating and modeling multiple healthcare data sources to identify variances and trends, deliver insights to leadership, and support strategic planning. Works independently on complex financial and actuarial analyses.

As a Senior Staff Decision Scientist, you will optimize payment decisioning strategies, analyze risk data, and collaborate to improve platform performance and user experience.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

The Senior Data Analyst will analyze large datasets, especially in the insurance sector, to provide actionable insights, validate data submissions, and support business objectives with reporting solutions.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

The CAT Pricing Lead will manage catastrophe pricing strategy, integrating risk insights into pricing, and leading a team focused on actuarial analysis and portfolio risk management.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Senior individual contributor owning partnerships analytics: lead agent acquisition and product analytics, build risk/commission debt models, define onboarding "aha" metrics, optimize funnels, enable self-serve analytics, integrate generative AI tooling, and mentor junior analysts.