Top Entry Level Data & Analytics Jobs in Boston, MA

Entry-level role supporting BI team by building and maintaining Power BI reports, dashboards, and data models under guidance. Learn Excel (advanced formulas, intro to VBA), DAX, Power Query, and basic SQL. Support CRM reporting and automation, assist AI adoption (Claude) and SharePoint knowledge management, validate report accuracy, gather reporting requirements, and participate in training and mentorship. Develop insurance industry familiarity.

Manage and curate clinical, biospecimen, experimental, raw, and derived scientific data for a biomedical research laboratory. Maintain institutional and cloud data resources and scientific websites, support open science and FAIR principles, contribute to grants and manuscripts, train lab members, and attend scientific conferences. The role requires careful data management, collaboration with researchers and engineering staff, strong communication, and the ability to manage shifting priorities in an in-person academic environment.

Supports enterprise data programs involving master and reference data, data governance, stewardship, lifecycle management, quality, reporting, analytics, and modernization. Analyzes data, processes, requirements, and stakeholder needs; documents business requirements and data definitions; partners with business, technology, and data teams; and contributes to reporting, process improvements, platform enhancements, and cross-functional initiatives. This is an 18-month early-career program for students graduating in May 2027.

Deliver strategic, data-driven insights supporting sales objectives for Walmart and Sam’s Club. Build client relationships, create sales presentations, analyze syndicated and internal data, manage reporting across clients and categories, standardize best practices, and mentor one analyst. The role requires advanced business application proficiency, strong communication, project management, and the ability to translate consumer and market trends into actionable recommendations.

Collect, clean, validate, and analyze operational data from multiple systems to support customer reporting and performance monitoring. Process SQL-based uploads, maintain accurate datasets, identify trends and anomalies, document reporting procedures, and create standardized workflows, dashboards, and tools. The role also supports process improvement and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Analyze multiple data sources, translate complex findings into actionable business insights, and communicate recommendations to cross-functional teams. The role supports Brand Management, Finance, Sales, and other partners by delivering real-time insights, influencing business decisions, solving ad hoc problems, and developing scalable analytics solutions that improve business results.

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.