Top Data & Analytics Jobs in Huntsville, AL

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead analytics and reporting for DTC channels, develop dashboards and quality metrics, ensure data integrity, support vendor oversight, and drive performance improvements using data tools and quality processes focused on Medicare sales.

Manage program data across MDA systems by establishing data governance, developing Integrated Data Management and Data Handling Plans, supporting data lifecycle (collection, validation, storage, dissemination, archival), ensuring integration and interoperability, defining test data requirements, supporting mission execution and data readiness for BI/AI/ML, performing data analysis to identify gaps, and maintaining metadata and data quality standards.

Collect and analyze system and team performance data for the C2BMC program, develop actionable metrics and visualizations in Power BI and Tableau, maintain report assets in source control, and communicate insights to program management to drive continuous improvement. On-site role requiring active DoD Secret clearance.

Design and maintain petabyte-scale data architectures and ETL pipelines; enable automated MLOps workflows; lead teams building ML systems and backend services; implement CI/CD and DevSecOps practices; integrate components, write maintainable Python code, and produce technical documentation while collaborating with cross-functional teams.

The Data & Analytics Senior Analyst delivers analytical solutions, manages reports, collaborates with partners, and applies advanced analytics while ensuring compliance with bank policies.

Design, build, and maintain scalable ETL/ELT pipelines and Lakehouse solutions; ingest and transform diverse data formats; optimize Databricks and SQL Server environments; implement data quality, lineage, and governance; support batch and streaming ingestion; collaborate with analysts and stakeholders to enable analytics (fraud/anomaly detection, financial oversight); troubleshoot and improve pipelines. Candidates must be willing to undergo a U.S. government background investigation.

The Sr. Databricks Solutions Architect leads customer engagements to design and optimize Databricks architectures, focusing on data engineering, analytics, and machine learning, while ensuring compliance and best practices.