Top Entry Level Data & Analytics Jobs in Boston, MA

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.

Collaborate with teams to analyze data, optimize media investments, and support decision-making in a hybrid media analytics role. Gain hands-on experience with analytics tools.

Administer and maintain IBM DataStage environments: create/manage projects, manage engine and WAS services, install patches, perform server restarts and maintenance, script in Unix, plan capacity, tune performance, manage code migration/version control, and coordinate with clients and offshore teams.

The Data Specialist enters data into databases, conducts queries, analyzes data, and creates reports or forms using Microsoft Access.

The position focuses on technology and artificial intelligence at a multi-strategy investment firm, emphasizing innovation and collaboration.

Own trade performance reporting, dashboards, scorecards, promotional ROI analysis, range review support, category insights, and sales projections for major retail customers. The role turns sales and shopper data into commercial recommendations, supports retailer presentations and new product launches, and collaborates with Sales, Marketing, Supply Chain, Demand Planning, and Finance. It requires strong Excel and presentation skills, commercial curiosity, attention to detail, clear communication, and the ability to manage multiple priorities.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.