Top Entry Level Data & Analytics Jobs in Boston, MA

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.

Entry-level Business Intelligence Associate supporting report and dashboard development in Power BI, Excel, and CRM. Assist with data models, DAX, Power Query, validation, automation, SharePoint maintenance, and AI adoption (Claude). Learn industry context and participate in training and mentorship.

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.

Perform data conversions and imports from diverse sources (text, PDFs, Excel). Clean, validate, reconcile, and audit employee demographics and payroll history using SQL and automation tools. Troubleshoot issues, document processes, and collaborate with implementation stakeholders to deliver accurate, timely conversions and improve automation.

Develop and maintain Palantir Foundry data pipelines, transformations, Ontology models, workflows, data products, and user-facing applications. Integrate structured and unstructured data from enterprise systems and cloud platforms using Python and SQL. Implement data quality, governance, metadata, lineage, testing, and validation practices while collaborating with technical and business stakeholders. Support Agile development, documentation, modernization, AI-enabled analytics, troubleshooting, and federal data solutions.

Clean, standardize, enrich, and import product data into the PIM while maintaining data integrity and governance standards. Oversee bulk ingestion processes, leverage AI and automation, support data model improvements, resolve product listing issues, and contribute to data hygiene and workflow modernization. The role also involves collaborating with client-facing teams, documenting processes, proofreading product data, communicating progress, and adapting to changing priorities.

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.