Data Analyst
Job description
About the role
This role supports Air Force Special Operations Command at Hurlburt Field, FL, to enable data-driven decisions for mission readiness. The Data Analyst strengthens a close-knit team focused on modernizing data operations for the command. Success in this position advances digital transformation efforts and directly impacts mission readiness.
Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.
Key facts
What you'll do
Derive insights from complex data to support mission and business functions, strengthening decision quality. Uncover patterns and trends to guide strategic recommendations for data consumers. Identify new data sources and methods that enhance information collection, examination, and reporting for the command. Gather and refine requirements to align data initiatives with operational objectives. Pinpoint technical issues and define root causes that affect data workflows and decision outcomes. Engineer structured processes to transform raw inputs into reliable outputs. Establish standards that clarify how information is maintained and interpreted. Coordinate with cross-functional partners to ensure findings address real mission needs.
Requirements
Minimum of 1-year experience in a data analysis role is required. Demonstrate consistent performance in roles that involve data examination and interpretation. Possess a minimum of a bachelor's degree in a computer science discipline or equivalent knowledge. Formal study must cover core concepts relevant to analysis and technology. Provide evidence of experience performing similar tasks with comparable scope and complexity. Document prior work that shows responsibility for end-to-end data challenges. Obtain Interim Secret clearance within 30 days of hire to meet security requirements.
Practical notes
The position involves close collaboration with SOCOM and AFSOC partners at Hurlburt Field, FL, with potential for travel as needed on data initiatives. Typical interview steps
Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.
Good to know
Work in this role centers on national security data challenges for the Intelligence Community and Department of Defense. Professionals use programming languages and data platforms to design algorithms, build tools, and enable self-service analytics. DevSecOps practices and modern data operations workflows support scalable, secure solutions. Success depends on collaboration, clear communication, and adherence to data quality standards.
Questions to ask
Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.
Career growth
Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.