Top Hybrid Data Analysis Jobs in Boston, MA

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.

Own the roadmap and backlog for insurance pricing tools, gather requirements, coordinate delivery, and develop scripts and processes across rating programs. Analyze premium mismatches, maintain SAS pricing tools, conduct pricing analyses and quality checks using Python, SAS, Excel, and related technologies. Collaborate with cross-functional teams, resolve defects, present findings, train colleagues, and support successful pricing model rollouts.

Supports client-facing digital assurance and technology projects by analyzing data, assisting with auditing and financial reporting processes, evaluating internal controls, and researching business transformation solutions. The role uses Python and Microsoft SQL Server Data Tools to generate insights, support regulatory compliance, and deliver objective assessments while collaborating with senior auditors and project teams.

Supports data analysis projects in PwC’s Advisory practice, researching datasets, identifying patterns, integrating data, and creating dashboards and visualizations with Alteryx and Power BI. Assists with algorithm development, analytics automation, and data-driven insights for clients. The internship emphasizes learning PwC methodologies, collaborating with experienced professionals, and gaining exposure to AI, cloud platform design, and data architecture.

Supports client-facing diligence analytics projects by gathering, integrating, and analyzing data; developing data-driven insights; creating dashboards and reports; conducting research and data mining; contributing to algorithm development; and preparing presentations. The intern uses Alteryx and Power BI, collaborates with advisory teams, and gains exposure to cloud platforms, data architecture, data science, and AI applications.

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.

Supports Global Distribution by monitoring industry and competitor activity, analyzing investment, performance, fee, flow, and market data, and developing competitive positioning insights. Prepares executive and governance reporting, advises senior sales and business stakeholders, contributes to product and pricing strategy, and partners cross-functionally on growth decisions. Improves and automates research and reporting workflows using approved AI tools while maintaining confidentiality, controls, and compliance.

Provides individualized research and data consultations to Harvard Kennedy School faculty, students, and fellows. Identifies datasets, supports research design, methods, analysis, data management, citation tools, and reproducibility. Designs and delivers workshops, develops instructional resources, administers course technology licenses, manages access to licensed data and software, reviews data management plans, and embeds research and data literacy into courses and orientations.