Top Data & Analytics Jobs in Huntsville, AL

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

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.

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.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Develop and maintain ETL/ELT pipelines across enterprise data lakes, warehouses, and BI platforms. Integrate, transform, validate, and monitor large datasets using Databricks, ODI, SQL, and Python. Support data quality, governance, metadata, lineage, semantic layers, dashboards, reporting, production troubleshooting, and operational maintenance. Collaborate with business and technical stakeholders to deliver scalable analytics solutions.

Develops and maintains Azure DevOps dashboards, automated reports, and visualizations for project tracking, sprint metrics, defects, and delivery performance. Creates scripts and integrations, validates data, troubleshoots reporting tools, documents workflows, and collaborates with technical and program teams. Participates in Agile ceremonies and supports analysis of weapon system issues. Requires extensive systems engineering experience, dashboard or software development expertise, active Secret clearance, and U.S. citizenship.

Develop data analytics and visual analytic applications using structured and semi-structured data. Design enterprise databases, build relational database systems, integrate data systems, and optimize data pipelines and performance. The role uses Java, AWS, Spark, Scala, SQL, PostgreSQL, NiFi, Informatica, Linux, and ETL technologies to support actionable intelligence applications. An active Top Secret/SCI-eligible clearance is required, with potential CI polygraph eligibility.

Performs geospatial workflows using GIS, CAD, remote sensing, imagery, LiDAR, and surveying technologies. Develops and distributes vector datasets, aerial imagery, LiDAR products, and other high-quality geospatial data. Responsibilities include imagery preprocessing, feature digitization, LiDAR classification, metadata support, project reporting, geodatabase management, and advising on geospatial standards. Works independently and collaboratively to solve geospatial problems and maintain accurate data products.

Execute ETL workflows supporting large-scale migration from legacy systems to cloud environments. Extract, transform, cleanse, validate, and load structured and unstructured data; monitor pipelines; troubleshoot defects; and support automation, quality controls, staging, testing, and cutover operations. Maintain data maps, logs, procedures, and technical documentation while collaborating with data, cloud, QA, and product teams in a federal modernization program.

Designs, develops, and maintains scalable data warehouses, data lakes, platforms, and ETL/ELT pipelines. Builds batch and streaming workflows, processes structured and unstructured data, optimizes cloud storage and pipeline performance, and implements data governance and lifecycle management. Guides multidisciplinary teams in agile environments while delivering mission-focused data engineering solutions.