Top Data & Analytics Jobs in Huntsville, AL

Provide technical support, architecture guidance, and development for a Snowflake data warehouse focused on higher education. Troubleshoot performance and data-load issues, design scalable data models, support Tableau data feeds, promote governance and best practices, and help expand Snowflake to new domains and teams.

Lead enterprise data ownership and governance to align customer experience with information architecture. Develop data usage frameworks, business rules, quality thresholds, and movement authorizations. Direct data stewards, analysts, and architects; prioritize remediation, support data integration and analytics, and guide development of data warehouse, data marts, and reporting solutions to support healthcare enrollment and billing operations.

Drive analytics and statistical modeling to evaluate and forecast sales compensation plan performance. Produce reports and visualizations, assess risks, recommend compensation design changes, and partner with sales, finance, HR, and leadership to align incentives, quotas, and sales models to business priorities.

The Senior Data Engineer will maintain and improve data infrastructure, design ETL processes, and create high-performance pipelines for analytics and AI initiatives using SQL and Python in cloud environments.

Own and evolve end-to-end data pipeline architecture across ingestion, transformation, modeling, and serving. Lead platform improvements (cost, compute efficiency, access control), CI/CD, monitoring, and incident response. Drive cross-team technical initiatives, mentor engineers, and integrate AI tooling to improve workflows while remaining hands-on building and debugging production pipelines.

Lead embedded analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics, run analyses and experiments, deliver insights and recommendations, and drive outcomes end-to-end with stakeholders.

Design and develop Power BI semantic models and scalable reporting solutions using Databricks Lakehouse. Build advanced SQL and DAX logic, optimize performance, enforce dataset governance, implement data quality checks, and develop predictive models. Collaborate with data engineering, refactor reports to governed semantic models, automate analytical workflows, and provide technical guidance and code reviews to junior developers.

Lead embedded BizOps analytics for a core business area (growth, product, AI, or partnerships). Define questions and metrics, build reports and experiments, surface insights, make data-driven recommendations, and drive cross-functional execution to impact key business metrics and scale the company.

The Data Operations Analyst at Revecore will manage data operations, troubleshoot issues, and optimize data pipelines while collaborating with Data Engineering.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.