Top Entry Level Data & Analytics Jobs

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

As a Business Analyst, you'll support client engagements, conduct data analysis, develop insights, and collaborate with team members to solve complex problems.

Work as a Data Architect splitting time between Workday integration development (simple, supportable integrations) and data platform/data warehouse work for a larger DW project.

Manage bibliographic and holdings data lifecycle: ingest, normalize, enrich, match, and troubleshoot data quality issues. Support automated pipelines, use Power BI for monitoring, apply AI-assisted tools for record matching, document workflows, and coordinate with vendors while learning scripting and cloud data concepts under regular supervision.

Manage and maintain child and personnel digital files, ensure data quality and integrity in ChildPlus and DOE systems, run and produce reports for dashboards and funders, support compliance with Head Start/DOE/DOH standards, troubleshoot database issues, and collaborate with program and research teams to improve data-driven decision making.

Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.

No responsibilities or role details were provided in the job description. The posting only lists the job title (Business Analyst) and contact information for further inquiry.

Contract SQL Developer positions (W2) for AZ, MN, and NC. Posting provides no specific responsibilities or technical requirements beyond the SQL developer title.

Seeking candidates for a junior production support role in Risk and Finance with a background in SQL and technology. Long-term engagement expected with growth potential.

Support commercial growth through data-driven analysis, sales process improvement, and cross-functional initiatives. Analyze customer, sales, market, and operational data; translate findings into field-ready recommendations and materials; manage analyses and workstreams; improve commercial processes and tools; communicate progress to sales leadership; and work through ambiguous problems with structured investigation and iteration.