Top Data & Analytics Jobs in Birmingham, AL

Lead advanced analytics and predictive modeling for readiness-based spares and sustainment decisions. Translate business problems into analytical frameworks, build predictive/diagnostic models, document data pipelines, mentor junior analysts, and collaborate with engineering and program stakeholders to support Navy and Department of War programs.

The Senior Data Scientist will analyze and optimize marketing funnels, build statistical models, conduct experiments, collaborate with teams, and mentor junior members.

Own and build audit-ready data architecture, ETL pipelines, and validations to support internal audit. Maintain inventories, playbooks, and catalogs; assess downstream impacts of schema changes; implement automated data quality checks and monitoring; and translate audit/business requirements into technical specifications for stakeholders.

Analyze marketing and customer data to identify trends and optimization opportunities. Build scalable lead ingestion solutions, write SQL and Python for ETL and analysis, maintain curated datasets and dashboards, automate reporting, and collaborate with marketing, analytics, data science, and engineering teams while documenting data definitions and methodologies.

Design and implement data federation and lakehouse solutions. Build scalable ETL/ELT pipelines in Python/PySpark, optimize Spark and SQL performance, manage Delta/Iceberg/Hudi tables, enforce governance and fine-grained access, and support cloud deployments (AWS/Azure/GCP) for analytics and AI use cases.

Lead analytical detection of Medicaid fraud, waste, and abuse in home- and community-based care. Translate findings into detection logic and product requirements, validate tools, and present insights to state agencies and payers. Collaborate with product, engineering, and clients to embed operationally credible, actionable program integrity capabilities.

Build and maintain production-grade dbt data models and end-to-end data pipelines. Collaborate with Finance, Engineering, Sales, and Product to deliver reliable reporting, analytics, and scalable solutions, reducing manual workflows and ensuring data accuracy.

Perform quantitative and qualitative analysis, build reports and dashboards, produce datasets, troubleshoot data issues, and present findings to stakeholders. Collaborate across teams and third parties to define reporting specs, improve data quality, and recommend KPIs and best practices to support decision-making.

Hands-on business and delivery analyst who translates stakeholder needs into data integration solutions. Leads current/future-state and gap analysis, requirements, mapping, migration, testing, and delivery coordination. Partners with Operations, Finance, Compliance, and Purchasing to streamline workflows, promote data-driven decisions, and support adoption of analytics and cloud-based tools to improve operational outcomes.

Lead and implement hands-on data governance across the Data Platform: build and operate the enterprise catalog, automate lineage, embed data quality checks, configure Snowflake governance, manage access workflows and event contract governance, create governance metrics and dashboards, define standards and operating model, enable domain teams, and hire and lead a small governance function.