Top Entry Level Data & Analytics Jobs in Boston, MA

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.

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.

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.

Evaluate and create AI-generated content in German. Review writing for factuality, completeness, and grammar while producing original content.

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

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

The Data Governance Analyst will support data governance initiatives by establishing requirements, maintaining data governance metrics, and ensuring compliance with policies and standards while enhancing data assets.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.