Top Entry Level Data & Analytics Jobs in Detroit, MI

As a Data Operations Analyst, you will maintain and enhance Charge Integrity SaaS by utilizing SQL and data analysis to solve complex revenue cycle problems and ensure accurate charge capture.

This entry-level position involves participating in remote research studies, conducting data entry, and following instructions, with flexible work hours.

The Technical Business Analyst is responsible for production support of Hadoop platforms, overseeing data acquisition, ingestion, preparation, and access, and managing incident resolution and operational tasks with a team.

The role involves analyzing data in the automotive domain, requiring strong skills in IT security, analysis, organization, and presentation.

The Data Entry Specialist manages invoices and payments, ensuring accurate data processing and maintaining records while supporting basic administrative tasks.

The role involves collaborating with business units, facilitating project coordination, resource planning, documenting requirements, and supporting the IT intake process to enhance project delivery and stakeholder satisfaction.

As a Jr. Sales Commission Analyst, you will calculate commission payments, prepare statements, resolve discrepancies, and ensure compliance with SOX controls while maintaining data accuracy.

Provide reactive data integration support between student information systems and Renaissance products: troubleshoot imports, run SQL scripts and database operations, validate and remediate data quality issues, communicate status to customers, and collaborate with product and engineering teams.

The Solutions Analyst delivers reporting and operational outputs, analyzes datasets, resolves issues, maintains solution components, and collaborates with teams to improve efficiency.

Build and maintain data marts, materialized views, and pipelines in an AWS Aurora PostgreSQL environment. Integrate data with downstream BI platforms (MicroStrategy), design/optimize workflows for analytics and reporting, monitor pipeline health and data quality, and support federal data security compliance (FISMA/NIST 800-53). Collaborate with engineering and product teams to enable data-driven features.