Top Entry Level Data & Analytics Jobs in Boston, MA

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.

Analyze customer data and build production-grade data models, dashboards, data products, and self-service analytics capabilities. Automate manual workflows, translate stakeholder needs into scalable solutions, and experiment with generative AI, conversational analytics, and AI-assisted coding tools. The role requires strong SQL, data visualization, analytical problem-solving, business judgment, communication, and collaboration skills. This is a hybrid position requiring three days onsite weekly in Framingham.

Uses consumer, shopper, market, and retail analytics alongside qualitative research to uncover insights, inform business strategy, evaluate advertising and promotional investments, and influence product, pricing, media, retail, and go-to-market decisions. Partners cross-functionally with Brand Management, Finance, Sales, R&D, and other teams to communicate findings, identify growth opportunities, and drive action.

Supports ETL processes, reports, and data lake operations; monitors production workflows, troubleshoots failures, restarts processes, and resolves issues with internal business partners. The role also creates new processes and reports, provides assignment updates, and participates in scheduled off-hours on-call support. Candidates should have foundational programming, systems administration, testing, performance testing, software development, and DevOps knowledge, plus familiarity with SQL Server and reporting tools.

Uses Esri ArcGIS tools to execute GIS projects, develop databases and maps, organize and analyze spatial data, perform quality assurance, prepare documentation, support client deliverables, and assist field teams with mapping and data collection activities.

Build and maintain Python ETL pipelines for large geospatial and energy datasets. Design and optimize PostgreSQL/PostGIS schemas, SQL queries, spatial workflows, validation controls, and data-quality processes. Maintain Linux-based processing environments and automation, diagnose pipeline and database issues, and collaborate with product, GIS, and data science teams to deliver reliable data products.

Maintains and verifies client and matter data across business intake and conflicts systems. Processes engagement, waiver, closure, and name-change requests; links parties; maintains ethical walls, database alerts, and administrative files; performs data cleanup and reporting projects; supports technology testing; and communicates intake and risk-management procedures to attorneys, staff, and external parties.

Perform independent healthcare analytics projects for clients: use statistical tools, predictive modeling, BI/reporting and data visualization. Build reports and insights using R, SAS, SPSS, Cognos, and Business Objects, and collaborate with the Senior Consultant to maintain client relationships.

Support quantitative research, portfolio management, and risk teams by developing and maintaining quantitative models, portfolio construction and risk processes, addressing data and analysis requests, communicating results, and participating in research projects to enhance tools and models.

An 18–24 month rotational analyst program across Product, Claims, and Underwriting. Participants analyze qualitative and quantitative data, support projects, perform market research, improve processes, present findings to leaders, and engage in structured training and mentorship to prepare for a long-term role.