Top Data & Analytics Jobs in Boston, MA

Leads qualitative and quantitative consumer research supporting new product development. Develops research plans, surveys, and interview guides; moderates focus groups and interviews; manages research resources and budgets; identifies unmet customer needs; translates feedback into innovation recommendations; synthesizes findings; and presents strategic, actionable insights to cross-functional teams and leadership.

Analyze marketplace performance data across availability, pricing, content quality, advertising, competitors, and categories. Integrate third-party APIs into APEX, structure and validate datasets, test agent outputs, translate commercial questions into actionable data, and maintain reporting. The role includes participation in agile sprints, collaboration with engineering, sales, marketing, and regional teams, and presenting findings to stakeholders.

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.

Designs and develops scalable, reusable data solutions, production pipelines, reporting dashboards, and proof-of-concepts for business stakeholders. The role includes data engineering, infrastructure optimization, data quality testing, metadata and lineage management, compliance, security, and Gen AI applications. Responsibilities also include evaluating tools, mentoring junior team members, prioritizing customer-focused solutions, and collaborating with technical and non-technical stakeholders.

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.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

Own the design, governance, and evolution of the enterprise data lake and warehouse. Responsibilities include developing conceptual, logical, and physical data models; defining source-to-target mappings; reconciling legacy CRM and operational data; establishing data quality frameworks; administering schemas, views, access controls, and performance; and partnering with engineering and business stakeholders to support scalable, self-service analytics.

Analyze observability, digital experience, and business analytics data for enterprise clients to improve website performance and user engagement. Manage relationships with 4–8 clients, conduct ad hoc analyses, configure Dynatrace solutions, create reports and dashboards, present findings to technical and executive audiences, provide training, and influence product roadmap decisions. The role combines advanced data analysis, strategic consulting, customer account management, and executive communication.

As a Business Technology Solutions Associate Consultant, you'll develop and implement tech solutions, lead project teams, mentor junior members, and manage project delivery in the life sciences sector.