Top Analysis Reporting Jobs in Huntsville, AL

Develops and administers the botanical garden’s GIS environment, integrating spatial, biological, collections, infrastructure, and field data. Conducts conservation and planning analyses, creates maps, dashboards, web applications, and decision-support products, and ensures data quality and documentation. Coordinates field data collection, trains staff and volunteers, troubleshoots GIS workflows, and collaborates with conservation, research, university, and agency partners. The role includes indoor office work, outdoor fieldwork, occasional travel, and supervision of GIS volunteers and interns.

Analyzes field service, technical support, call, and operational data to identify root causes, validate information, improve processes, reduce service issues, and enhance performance. Responsibilities include monitoring work levels, reviewing technical content, managing DIY operations, handling escalated cases, preparing reports and cost analyses, supporting pilot tests, coordinating with factories and departments, and communicating performance insights to leadership.

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.

Analyzes and transforms data to create Tableau dashboards, reporting tools, and business intelligence solutions. Leads data-cleaning scripts using Databricks, SQL, and Python; maintains analytics solutions; identifies workflow automation opportunities; and translates client needs into scalable analytics and data science use cases. The role supports federal government clients, consulting delivery, business development, and stakeholder presentations.

Provides analytical and lifecycle support for U.S. Navy electromagnetic warfare, decoy, and SEWIP systems. Applies operations research, data science, logistics analysis, reliability and maintainability engineering, mathematical modeling, simulation, optimization, and what-if analysis to improve system readiness, operational availability, resource allocation, and lifecycle performance. Develops performance metrics, evaluates alternatives, analyzes complex datasets, and delivers recommendations and decision-support products to technical and program leadership.

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.

Support Feed and Logistics by creating data analysis tools, extracting KPIs from major systems, building QlikView dashboards and reports, performing statistical analysis, and liaising with business stakeholders to meet reporting needs.

Lead customer engagements to design, build, and optimize Databricks architectures for data engineering, analytics, and machine learning. Develop scalable ETL/ELT pipelines, integrate with cloud platforms, advise on governance/security, productionalize ML workflows, troubleshoot operational issues, and deliver consulting and managed services with documentation and best practices.

Lead complex data mining, statistical and trend analyses; produce monthly contract reports; integrate operations research methods for managers; prepare training materials; perform quality control; transform structured and unstructured data into actionable analytic products and recommendations for DoD operational decision makers.