Top Hybrid Data Analysis Jobs in Boston, MA

Owns the roadmap and backlog for pricing tools, gathers requirements, and coordinates delivery with data science engineering teams. Develops and maintains Earnix and SAS pricing tools, analyzes premium mismatches, resolves defects, conducts quality control, and supports rating program rollouts. Uses Python, SAS, Excel, and related technologies for pricing analysis and tool development. Collaborates with cross-functional partners, presents results, and supports knowledge sharing and process improvement.

Conduct quantitative and qualitative research, including data cleaning, statistical analysis, subgroup comparisons, regression, clustering, and significance testing. Manage online research communities for teens, parents, and counselors, overseeing recruitment, engagement, incentives, research programming, and member experience. Translate findings into dashboards, visualizations, reports, and presentations for nontechnical audiences. Collaborate cross-functionally to shape research agendas, deliver rapid insights, and advance data-driven initiatives.

Own and improve e-commerce fulfillment analytics capabilities, including solution design, coding, deployment, data pipelines, validation, modeling, reporting, and visualization. Analyze internal and external data to generate insights for network strategy, capacity, investment, sales capture, and cost management. Partner with data, fulfillment, brand, and executive teams while managing roadmaps, vendors, documentation, testing, and continuous improvement.

Analyze and visualize large customer datasets, build production-grade data models and scalable data products, automate manual analytical workflows, and create AI-assisted, conversational, and self-service analytics experiences. Translate ambiguous stakeholder needs into actionable solutions while collaborating across teams and experimenting with generative AI and modern data technologies.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Analyze brand marketing performance across channels, audiences, creative, and markets. Design and evaluate incrementality tests, brand lift studies, geo-lift experiments, and marketing mix models. Build dashboards and reporting frameworks, synthesize survey, media, web, and brand health data, and provide recommendations that guide creative strategy, media planning, and investment decisions. Partner with Brand Marketing, Media, Data Science, and external measurement teams.

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.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.