Top Entry Level Data & Analytics Jobs in Boston, MA

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

The Quality Assurance Associate ensures compliance with regulatory requirements, assists in maintaining the Quality Management System, and analyzes quality data trends to improve processes.

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 Data Entry Specialist manages invoices and payments, ensuring accurate data processing and maintaining records while supporting basic administrative tasks.

The role involves collaborating with business units, facilitating project coordination, resource planning, documenting requirements, and supporting the IT intake process to enhance project delivery and stakeholder satisfaction.

As a Jr. Sales Commission Analyst, you will calculate commission payments, prepare statements, resolve discrepancies, and ensure compliance with SOX controls while maintaining data accuracy.

The Solutions Analyst delivers reporting and operational outputs, analyzes datasets, resolves issues, maintains solution components, and collaborates with teams to improve efficiency.

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.