Top Hybrid Data Analysis Jobs in Boston, MA

The AI Analyst Co-op will use Python, HTML, SQL, APIs, and AI tools to generate scalable insights for go-to-market teams. Responsibilities include personalizing BDR outreach by buyer persona, distributing market insights across sales, marketing, and partner resources, and collaborating with Platform Advisory. The role requires strong analytical skills, attention to detail, problem-solving persistence, and an understanding of technology’s role in improving operational efficiency.

Conduct healthcare product analysis, build dashboards and recurring reports, monitor KPIs, support A/B testing, validate data, and identify trends affecting member engagement and health outcomes. Partner with product, engineering, design, data science, and marketing teams to deliver actionable insights, improve data quality, and support healthcare product strategy. The role also contributes to documentation, segmentation analysis, and repeatable analytics processes.

Own high-impact revenue strategy analyses from problem framing through recommendations and decision support. Analyze marketplace performance, lead economics, monetization, retention, product adoption, and operating models using SQL, Python, financial modeling, and cross-functional data. Advise senior leaders, create executive- and board-ready materials, improve metric reliability, build reusable analytical frameworks, and influence decisions across Revenue, Product, Finance, and Operations.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

Participate in a rotational analyst development program focused on using data and technology to analyze performance trends, identify business opportunities, and support insurance operations. Complete training, mentorship, and rotational assignments while developing strategic, technical, analytical, communication, and business skills. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies to generate business insights.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Leads data analysis and advanced analytics workstreams for clients, using statistical modeling, machine learning, data visualization, and Adobe Experience Cloud technologies to improve operations and strategic decision-making. Manages project planning, budgeting, execution, and completion while mentoring teams, maintaining data integrity and security, building Tableau and Power BI dashboards, identifying business opportunities, and integrating innovative analytics practices.

Analyzes large-scale datasets to generate strategic insights, design and evaluate experiments, identify trends, and improve business performance. Builds scalable reporting frameworks and dashboards, translates complex analyses into compelling narratives, and partners with cross-functional teams to support strategic initiatives and data-driven decisions across casino products and markets.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

Supports a university-wide training portal systems upgrade through business analysis, data integration, system configuration, testing, implementation readiness, reporting, and system administration. The role translates business needs into sustainable solutions, develops test scenarios, coordinates user acceptance testing, documents defects, supports issue resolution, and collaborates with internal teams and external consultants.