Top Data & Analytics Jobs in Birmingham, AL

Lead design and implementation of end-to-end ELT pipelines and transformation layers (dbt) to produce curated, reporting-ready datasets. Define data models, governance, metadata, lineage, and engineering standards. Partner with cross-functional teams to translate requirements, optimize performance and costs (cloud DW like Snowflake), and grow a data architecture practice that supports BI, self-service analytics, and AI agents.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Build and run an enterprise data governance program: create policies, standards, and controls; establish data use and de-identification programs (HIPAA-compliant); define ownership and stewardship; measure and remediate data quality; maintain governance artifacts; align cross-functionally; report and drive adoption and training.

The Fraud Reporting Analyst develops processes to analyze fraud-related data, identifies trends, and communicates insights to enhance fraud detection and operational performance.

Technical leader for Data Engineering responsible for designing, operating, and optimizing Snowflake-based data platforms, self-hosted orchestration (Prefect), dbt practices, AWS infrastructure, and data pipelines. Drive architecture, mentor engineers, partner cross-functionally, ensure observability and production-grade practices, and enable model-ready datasets and AI/LLM workflows.

Lead architecture and operations for the end-to-end data lifecycle: pipeline orchestration, dbt projects, cloud warehouse performance, dimensional modeling, data observability, HIPAA controls, and platform governance. Mentor a distributed data engineering team, partner with Analytics and Finance, and prioritize durable platform capabilities that enable BI, experimentation, and AI use cases.

Design, build, operate, and optimize large-scale production data pipelines and foundational Healthcare Map data products using Python, SQL, Airflow, Spark, and AWS. Ensure data quality, observability, and performance; debug complex workflows; contribute to architecture, CI/CD, testing, documentation, and cross-functional delivery to enable analytics and AI/ML use cases.

Validate and triage clinical data across HL7, FHIR, and Databricks pipelines using SQL. Trace transformations end-to-end, identify and remediate data quality issues, partner with engineering/product/clinical teams, document findings, and support client go-lives to ensure clinically accurate, production-ready data.

Lead cross-functional analytics initiatives delivering accurate, trusted dashboards and metrics. Partner with Sales, Operations, Product, and Data Engineering to align analytics with business strategy, solve ambiguous problems, and mentor junior analysts.

Support and operationalize enterprise data governance and privacy programs (GDPR). Develop standards, procedures, and dashboards; manage metadata, data quality, ownership, and DSAR/ERASR intake, triage, and reporting. Conduct root-cause analysis, remediation planning, stakeholder coordination, and provide guidance to junior analysts.