Top Entry Level Data & Analytics Jobs in Boston, MA

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

Conduct public records research (county recorder/assessor/GIS) to identify home sales and parcel owners for new-home communities, update the company database, and report findings via a web portal to a Regional Research Manager. Part-time, remote role with flexible schedule.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

Work with operations, IT, and client teams to manage business applications, schedules, SFTP accounts, and automated reports. Perform data imports/exports, cleansing, QA reporting, trend analysis, and process improvements while maintaining client communication and meeting productivity goals.

This role involves analyzing home renovation cost data and homeowner priorities, focusing on spending trends, emotional satisfaction, and resale value considerations based on surveys.

As a Remote Information Entry Clerk, you will enter and maintain database information, ensuring data accuracy, conducting audits, and supporting administrative operations.

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

Design, build, and maintain scalable ETL/ELT pipelines and data models to populate the data warehouse. Write reusable SQL and Python to transform data, monitor pipeline reliability and quality, enable AI workflows, collaborate with stakeholders, and drive adoption of modern data stack technologies (DBT, Iceberg, Databricks). Support data governance, observability, and security practices.