Top Remote Data & Analytics Jobs in Boston, MA

As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.

The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.

As a Staff Analyst on the Personal Loans team, you will analyze and optimize the Personal Loans product through data insights and collaboration with cross-functional teams. Responsibilities include setting product strategy, conducting quantitative analyses, developing analytical frameworks, and mentoring fellow analysts.

As a Risk Analyst, you'll analyze data, monitor payroll activities, and mitigate fraud and credit risks while ensuring compliance. Your role includes reviewing accounts for onboarding and regulatory adherence, and escalating potential fraud incidents with documentation and resolution tracking.

The Associate Data Analyst will work with the Payer team to develop analytics, create dashboards to track business metrics, facilitate data transfers, and improve decision-making through data visualization and interpretation. The role requires collaboration with stakeholders to enhance reporting infrastructure and communicate insights effectively to both technical and non-technical audiences.

The Senior Analyst on Strive’s Performance Team will collaborate with various teams to track performance against organizational priorities. Responsibilities include conducting analyses, delivering customer-facing reports, and preparing presentations for executives. A focus on monitoring performance metrics and identifying improvement opportunities is essential.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.