Top Data & Analytics Jobs in Boston, MA

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.

Leads the data engineering team, including hiring, coaching, technical direction, platform architecture, data pipelines, Snowflake warehousing, governance, quality, observability, and incident support. Partners with Data Science, Analytics, Clinical Operations, Biostatistics, and Business Development to deliver trusted data products for clinical operations, asset evaluation, reporting, and machine learning. Oversees budgeting, resourcing, documentation, technical programs, and responsible use of AI engineering tools.

This co-op develops analytical solutions for fulfillment performance reporting. Responsibilities include understanding fulfillment processes, consulting on data pipelines, developing data models and dashboards, analyzing trends, and providing insights and recommendations. The role collaborates with product managers, visualization analysts, data scientists, IT, technical teams, and fulfillment operations.

Supports the Digital Analytics team by repurposing brand reports for Giant Food and The GIANT Company, learning GA4, Adobe Analytics, and Power BI, and ensuring reporting data accuracy and quality. The role analyzes customer behavior across websites and apps, delivers insights to stakeholders, and supports KPI improvement across departments. It also includes mentorship, leadership development, project presentations, and networking opportunities.

Design, build, and operate high-throughput data pipelines supporting billing and cost attribution. Drive Spark optimization, latency reduction, sharding, cross-datacenter reliability, and new billing capabilities. Investigate billing accuracy issues with Finance and Product teams, participate in on-call rotation, and improve engineering standards and operational excellence.

Leads the design, development, and ownership of scalable data systems, ELT pipelines, data models, and Snowflake architectures supporting analytics, experimentation, machine learning, and business decisions. Partners cross-functionally to deliver reliable, governed data solutions; improves quality, observability, testing, documentation, and operational practices; mentors engineers; and shapes technical direction through automation, technology evaluation, and AI-enabled engineering.

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.

Build and own trusted data products, dimensional models, semantic layers, and dbt transformations that support analytics, experimentation, machine learning, reporting, and decision-making. Partner with cross-functional teams to translate business needs into scalable datasets, improve data quality and governance, establish engineering standards, and drive self-service analytics. Mentor engineers and analysts while leveraging AI tools to improve development, documentation, and quality.

Conduct independent, high-complexity analytics for Liberty Mutual’s Embedded Channel. Apply advanced statistics, predictive modeling, A/B testing, and diverse data sources to optimize funnels, questionnaires, and underwriting defaults. Build analytical tools, manage complex research projects, synthesize findings into actionable recommendations, and present insights to senior leadership to improve profitability, growth, and customer satisfaction.

Leads qualitative and quantitative consumer research supporting trends, early-stage product development, and innovation. Develops research plans, surveys, interview guides, and focus groups; identifies unmet customer needs; translates feedback into product recommendations; manages internal and external research resources and budgets; synthesizes complex findings; and presents actionable insights to cross-functional stakeholders and leadership.

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.

The Analytics Manager investigates business questions, delivers actionable insights, maintains data models and Looker dashboards, and communicates findings through presentations and visualizations. The role develops testing frameworks, subscription unit-economic models, marketing attribution, retention and cohort forecasts, and customer segmentation. It also partners with Product and Engineering to improve application tracking and customer behavior visibility.

Supports Fund Management through regulatory communications, cost allocation, operational reporting, and analytics. Develops and maintains Access, Excel, SQL, and enterprise reporting solutions; integrates data across systems; improves data quality and workflows; and supports testing, validation, deployment, automation, and AI-enabled process enhancements. The role also serves as a technical subject matter expert and coordinates regulatory reporting while driving efficiency and cost savings.