Top Entry Level Data & Analytics Jobs

Support research economists by accessing, organizing, analyzing, and visualizing economic data; perform statistical and econometric analysis; run quantitative models; write memos, blog posts, and articles; and assist on projects and presentations for policy audiences.

The Analyst will manage data and perform financial analysis on private equity and alternative assets, while providing feedback for the analytics platform.

The Anti Money Laundering Analyst monitors customer activity, completes reports, collaborates with teams, and ensures compliance with regulations.

An 18–24 month rotational analyst program across Product, Claims, and Underwriting. Participants analyze qualitative and quantitative data, support projects, perform market research, improve processes, present findings to leaders, and engage in structured training and mentorship to prepare for a long-term role.

Participants record 1,000 short ASL or BASL videos to aid AI understanding of signed requests, working independently while following specific instructions.

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

Support and administer commercial banking sales applications, assist with user access, issue tracking, and configuration. Develop and maintain dashboards and reports, perform data reconciliation and quality checks. Provide project administration for sales initiatives, track milestones, risks, status updates, and coordinate stakeholders. Document workflows, requirements, and change requests while building analytics and project coordination skills under senior guidance.

Entry-level data analytics role in PMGs Graduate Leadership Program. Participate in an 8-week immersive training, use PMGs Alli platform and SQL to analyze marketing datasets, build visualizations, leverage generative AI tools, and deliver actionable insights for client campaigns while rotating across cross-functional teams.

Responsible for gathering requirements, documentation, analysis, problem identification, UI mockup design, and providing project updates.

Develop and design data pipelines, optimize data delivery and automate processes to support end-to-end solutions in various settings.