Top Senior Analysis Reporting Jobs in Huntsville, AL

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Designs, builds, and supports scalable batch and streaming data pipelines, integration solutions, data models, APIs, and enterprise data platforms. The role focuses on cloud data architecture, data quality, governance, platform performance, and graph capabilities using Neo4j. It partners with stakeholders, analytics, and data science teams to support operational insights, AI, machine learning, fraud detection, and connected-data use cases.

Lead and grow the Revenue Analytics team to deliver strategic sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics to improve revenue, retention, adoption, and expansion. Partner with GTM, Finance, Product, and Enterprise Data to create executive reporting, data governance, AI-enabled self-serve datasets, and integrated analytics that drive business outcomes and support a shift to consumption-based models.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

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.

The Data Analyst will provide data solutions, build data pipelines, develop visualizations, ensure data integrity, and stay updated on analytics trends for a Department of War client.

Performs client-facing data analysis across structured and unstructured sources, producing reports, dashboards, summaries, and actionable recommendations. Collects, validates, catalogs, transforms, and retrieves data while supporting data pipelines, warehousing, database entry, and ad hoc analysis. Collaborates with stakeholders and clients to understand requirements and translate findings into technology and business insights.

Analyzes Army logistics business processes and ERP requirements, translates client needs into technology solutions, validates implementations, assesses metadata quality, and supports enterprise data alignment. Queries complex datasets using SQL and related tools, advises on data quality and ERP dependencies, monitors business analysts, supports development processes, and collaborates with stakeholders and working groups.