Top Entry Level Data & Analytics Jobs in Boston, MA

Analyze policy filings, support ePublishing updates, assist with compliance audits, and collaborate with team members for consistent language implementation.

The Quantitative Fellowship Program is a two-year rotational program focused on developing strong analytical skills for future quantitative analysts in the Federal Reserve System. Responsibilities include performing assessments of risks, analyzing financial data, and interacting with financial institutions, along with extensive training in quantitative topics.

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.

Build and maintain data marts, materialized views, and pipelines in an AWS Aurora PostgreSQL environment. Integrate data with downstream BI platforms (MicroStrategy), design/optimize workflows for analytics and reporting, monitor pipeline health and data quality, and support federal data security compliance (FISMA/NIST 800-53). Collaborate with engineering and product teams to enable data-driven features.

Collect, validate, and maintain market data across asset classes; perform statistical analysis and modeling; ensure data accuracy through QA; troubleshoot discrepancies; produce reports, dashboards, and recommendations; partner with stakeholders to improve data models and analytics practices.

The Payor Analyst processes claims data to drive payer access and revenue growth, supports access strategies, and generates insights for stakeholders.

Gather, clean, organize, model, and report data to support College Raptor enrollment services. Analyze internal data (web traffic, scholarships, sales), build predictive models, create dashboards, perform ad hoc analyses, and deliver timely reports to enrollment consultants and campus partners.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.

Responsible for ensuring data quality through governance, cataloging, and profiling. Familiarity with metadata management and data integration is beneficial.