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.

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.

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

FTI's Skills Accelerate program hires recent graduates as Technology Consultants or Advanced Analytics Researchers to learn e-discovery, digital forensics, advanced analytics, and document review. Consultants work on client-facing engagements across investigations, litigation support, data privacy, and project management, receiving coaching and formal development and potential full-time placement post-graduation.

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.

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.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

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.