Data Analyst

Graham Technologies•Tampa, FL

6d•Onsite

About The Position

Graham Technologies is seeking a Data Analyst to support a mission-critical Department of Defense program at USCENTCOM in Tampa, Florida. The role focuses on analyzing data, solving problems, and turning complex information into meaningful insights in support of mission requirements. The Data Analyst will work with data from multiple sources, use SQL and Python for analysis and automation, develop dashboards and reports, and support ETL processes and data pipelines. The role also involves identifying trends and operational improvement opportunities, collaborating with technical and government stakeholders, troubleshooting data quality issues, and presenting findings and recommendations clearly.

Requirements

Experience working as a Data Analyst, Business Intelligence Analyst, or in a similar technical role.
Strong SQL skills, including joins, filtering, aggregations, and working with relational databases.
Experience using Python for data analysis, scripting, or automation.
Experience developing dashboards or reports using Qlik, Power BI, Tableau, or similar tools.
Understanding of data cleaning, validation, and ETL processes.
Ability to work with large datasets and translate findings into actionable insights.
Strong problem-solving, communication, and collaboration skills.
Active TS security clearance.

Nice To Haves

Experience supporting USCENTCOM, SOCOM, or other DoD missions.
Familiarity with logistics, supply chain, personnel readiness, or operational datasets.
Experience with AWS, Azure, Databricks, or Palantir.
Knowledge of data modeling, data pipelines, or statistical analysis.
Experience with Qlik Sense dashboards.

Responsibilities

Collect, clean, organize, and analyze data from multiple sources to support mission requirements.
Write SQL queries to extract, join, validate, and analyze large datasets.
Use Python to automate data processing, reporting, and analytical tasks.
Develop dashboards, reports, and visualizations using tools such as Qlik, Power BI, or Tableau.
Support ETL processes and data pipelines to ensure accurate, reliable information.
Identify trends, patterns, and opportunities to improve operational performance.
Work with Data Engineers, Data Scientists, and government stakeholders to understand reporting and analytical needs.
Troubleshoot data quality issues and help improve existing processes.
Present findings and recommendations in a clear, easy-to-understand format.