Top Entry Level Data & Analytics Jobs in Birmingham, AL

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.

The PIM Data Analyst manages product data quality within the PIM system, handling data requests, ensuring data integrity, and improving processes.

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.

Collect, validate, and maintain market data across asset classes; perform statistical analysis and modeling; ensure data accuracy through QA; troubleshoot discrepancies; produce reports, dashboards, and recommendations; partner with stakeholders to improve data models and analytics practices.

The Payor Analyst processes claims data to drive payer access and revenue growth, supports access strategies, and generates insights for stakeholders.

Gather, clean, organize, model, and report data to support College Raptor enrollment services. Analyze internal data (web traffic, scholarships, sales), build predictive models, create dashboards, perform ad hoc analyses, and deliver timely reports to enrollment consultants and campus partners.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.

Responsible for ensuring data quality through governance, cataloging, and profiling. Familiarity with metadata management and data integration is beneficial.