Data Analyst

Integration Innovation•Huntsville, AL

13d•Onsite

About The Position

The Data Analyst supports the Missile Defense Agency’s (MDA) Agency Information Management and Software Services (AIMSS) program by enhancing data visibility, quality, and usability across the test data management lifecycle. This role bridges data management operations and technical analysis—leveraging structured methods, tools, and reporting to improve efficiency, ensure metadata consistency, and identify opportunities for process improvement. The Data Analyst works closely with Data Managers, Data Scientists, and software engineers to transform mission data into actionable information that supports decision-making, performance monitoring, and continuous improvement of MDA’s test data workflows This position is located at Redstone Arsenal in Huntsville, AL.

Requirements

Bachelor’s degree (BD) in Data Analytics, Operations Research, Statistics, Engineering, Mathematics, Computer Science, or a related field required.
Jr Level – BD and 0-5 years of relevant experience required.
Mid Level – BD and 6-11 years of relevant experience required.
Sr Level – BD and 12+ years of relevant experience required.
Active Secret clearance required.
Must be able to maintain the security clearance required for this position.
Must reside within a 50-mile radius of Redstone Arsenal in Huntsville AL or be willing to relocate prior to start date.
Ability to reliably commute to the office as business needs dictate.
U.S. Citizenship is required.
Travel: Up to 25%

Nice To Haves

Strong preference for candidates with prior experience supporting the MDA or missile test data environments, including familiarity with data flow, system integration, or analysis processes unique to test missions.
Strong understanding of data management principles, including ingestion, parsing, cataloging, and metadata validation.
Proficiency in SQL and experience with scripting languages such as Python or R for data preparation and analysis.
Working knowledge of metadata standards, data dictionaries, and validation procedures.
Experience developing dashboards and visual reports in Power BI or Tableau.
Ability to analyze data quality and performance metrics to identify process bottlenecks or anomalies.
Strong communication skills; capable of translating technical data findings for non-technical audiences and leadership.
Understanding of data governance policies, retention schedules, and secure handling of classified information.
Collaborative and analytical mindset with the ability to work effectively across multidisciplinary teams.
Detail-oriented, proactive, and adept at managing multiple priorities in a mission-driven environment.

Responsibilities

Evaluate and track test data delivery timelines, quality, and metadata completeness to identify trends, bottlenecks, and performance opportunities.
Aggregate and reconcile data from multiple AIMSS systems to create unified datasets for operational analysis and reporting.
Analyze AIMSS processes to measure throughput, identify redundancies, and recommend automation or standardization improvements.
Develop and maintain data quality, timeliness, and storage utilization metrics in alignment with MDA performance goals.
Build and maintain reporting dashboards and visualizations using Power BI or similar tools to communicate performance indicators to government stakeholders.
Support verification of data completeness, accuracy, and metadata compliance. Conduct periodic QA spot checks and reconcile discrepancies.
Ensure test data meets defined metadata standards; support implementation of metadata dictionaries and validation rules in collaboration with the Data Management Working Group (DMWG).
Collaborate with Data Managers and Data Scientists to evaluate technical solutions that enhance workflow efficiency, such as automation scripts or GenAI-based assistants.
Interface with Mission Data Owners (MDOs), Joint Analysis Teams (JATs), and AIMSS leadership to report findings, clarify data issues, and recommend corrective actions.
Maintain traceability of data sources, analytical logic, and transformation steps in accordance with MDA governance and security standards.
Contribute to lessons learned, SOP improvements, and cross-training initiatives to strengthen team proficiency.
Support ad hoc analytical requests, recurring reporting, and data calls as assigned.
Other duties as assigned.