Top Entry Level Data & Analytics Jobs

Manage data coordination, integration, governance, quality assurance, and documentation for Institutional Division stakeholders. The role supports data architecture, source-of-truth repositories, product implementation, validation controls, data cleansing, exploratory analysis, reporting insights, user training, and collaboration with Data and IT teams. Candidates should understand data management lifecycles and possess strong analytical, communication, prioritization, and stakeholder coordination skills, with insurance or actuarial product knowledge preferred.

Build, test, and support batch and streaming data pipelines, curated datasets, and data platform tooling. Responsibilities include data modeling, schema evolution, performance optimization, data quality controls, reconciliation, monitoring, and production support. The role requires collaboration with engineers and data consumers, with opportunities to contribute to technical design, platform standards, and delivery improvements.

The Deductions Analyst develops Power BI dashboards and reports, analyzes deduction trends, identifies root causes, and recommends process improvements. The role supports cash recovery, KPI attainment, audit and write-off activities, and cross-functional decision-making across Sales, Finance, and customer business teams. Responsibilities also include data management, advanced Excel analysis, training, project support, and maintaining operational continuity.

Build, QA, and deliver custom audience segments using SQL and data tools; validate data quality and policy compliance; automate workflows; serve as primary stakeholder contact via Salesforce; troubleshoot and document issues; contribute to cross-regional enablement and process improvements.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.

Entry-level data governance role focused on customer data quality and stewardship. Manage customer records in Profisee, handle data requests, ensure consistency across systems (CRM, order management), maintain business dictionary, monitor compliance with governance policies, deliver reports, and collaborate with analytics and business partners to improve data processes.

Part-time analyst who maintains CRM and CAMS data, supports enrollment and budget forecasting, creates real-time and historical reports, monitors data quality, identifies process improvements, trains/supervises student workers, and supports recruiting/marketing activities and website content updates in coordination with Marketing.

Administer Tableau across multiple environments, including high-availability sizing, disaster recovery, trusted authentication, load balancers, and SSL security. Troubleshoot and tune performance, collaborate with network and technical teams, and integrate R analytics with Tableau. Tableau development, scripting, and Tableau Server certification are preferred. This is a six-month contract in Cupertino, California.

Cloudpoint Geospatial invites resumes from entry-level and experienced GIS professionals interested in creative problem-solving and location technology. Applicants may contribute to geospatial projects serving governments, utilities, campuses, and public safety organizations. The company emphasizes continuous learning, collaboration, respectful teamwork, and meaningful impact. Benefits include health insurance reimbursement, 401(k) matching, hybrid work, tuition and training reimbursement, and profit sharing.

Set up and maintain accurate product records and BOMs in ERP and database systems, run audits and reports, resolve data discrepancies, document processes, and collaborate with cross-functional teams to ensure consistent product/catalog data.