Data Analyst Senior

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Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
• Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
• Interpret results of financial analysis procedures.
• Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
• Define or recommend model specifications or data collection methods.
• Produce written summary reports of financial research results.
• Maintain or modify all financial analytic models in use.
• Provide application or analytical support to researchers or traders on issues such as valuations or data.

O*NET source

Company facts (cached)

Website: generaldynamicsinformationtechnology.com

Public cache only — not an employee review.

Role overview (listing rewrite)

Join General Dynamics Information Technology as a Senior Data Analyst, supporting government program monitoring and data analysis across our global operations in Australia, Canada, France, Germany, India, Ireland, Netherlands, Singapore, United Kingdom, and United States. This full-time position enables you to drive evidence-based insights from complex government datasets while collaborating with federal agencies and partners. About This Position As a Senior Data Analyst, you'll be instrumental in translating government program data into actionable insights. Your role supports program performance assessment and continuous improvement across care provider networks. You'll work at the intersection of data science and mission delivery, leveraging both quantitative and qualitative analysis to shape how organizations measure outcomes and optimize service delivery. Day-to-Day Responsibilities Partner with federal agencies and contractor teams to enhance data collection and analytical processes Develop and refine data collection systems and tools that ensure statistical reliability and program effectiveness assessment Identify performance metrics, outcome indicators, and standardized data elements supporting program evaluation Conduct advanced data interpretation and analysis using industry-standard analytics platforms Create compelling data visualizations, reports, and executive presentations for agency leadership Ensure quality and accuracy across all analytical deliverables Respond to ad-hoc reporting requests supporting organizational decision-making Build and maintain data repositories and databases supporting large-scale analysis and ETL operations Educate program and field staff on data tools, analytics platforms, and reporting systems Champion data infrastructure improvements and analytical capability development What You Bring Bachelor's degree plus 5+ years of quantitative and qualitative data analysis experience (or Master's degree plus 3+ years) Hands-on expertise with data visualization platforms such as Tableau or Power BI Working knowledge of scripting languages including Python and R Solid SQL proficiency and relational database experience Advanced competency in Excel and VBA Exceptional analytical thinking and precise attention to detail Strong written and verbal communication skills Ability to obtain and maintain Public Trust clearance (MBI T2 level) Preferred: background supporting immigrants, refugees, or underserved populations Why Join General Dynamics Information Technology GDIT is a global technology and professional services organization delivering mission-critical solutions to U.S. government, defense, and intelligence agencies worldwide. Our 26,000 experts operate across 50+ countries,…

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Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in Australia, Canada, France, Germany, India, Ireland, Netherlands, Singapore, United Kingdom, United States, hybrid, or fully remote?