Data Analyst

The Data Analyst supports the Office of Head Start (OHS) National Customer Service Improvement Project (CSIP) by collecting, integrating, analyzing, interpreting, and reporting data that supports grants management, program oversight, operational performance, and executive decision-making. This position conducts quantitative and qualitative analyses, develops recurring and ad hoc reports, identifies trends and performance indicators, and produces actionable insights that improve program operations and customer service. The Data Analyst collaborates with Federal staff, Data Engineers, Data Management Specialists, and Program Support Specialists to transform data into meaningful information that supports evidence-based decision-making across OHS Regional and Central Offices., * Collect, compile, validate, analyze, and interpret quantitative and qualitative data supporting OHS program operations.

• Develop recurring and ad hoc analytical reports supporting grants management, program oversight, and operational decision-making.
• Perform statistical analyses using approved Federal tools including Excel, Python, R, SQL, and related analytical software.
• Conduct qualitative analyses of grant applications, budgets, monitoring reports, correspondence, surveys, and other program documentation.
• Identify trends, anomalies, performance indicators, risks, and opportunities for operational improvement.
• Prepare executive summaries, memoranda, briefing materials, correspondence, presentations, and analytical reports.
• Develop management information reports supporting Regional Offices, Central Office, and executive leadership.
• Support information collection activities including survey design, interview protocols, data collection instruments, and reporting.
• Perform data validation and quality assurance activities.
• Support development of dashboards and visualizations in collaboration with Data Visualization Specialists.
• Track and respond to recurring and ad hoc data requests.
• Document analytical methodologies, assumptions, and data sources.
• Contribute to business process improvement initiatives through data-driven recommendations.
• Support implementation of AI-assisted analytical methods consistent with Federal policies.
• Ensure compliance with HHS, ACF, OHS, privacy, and information security requirements.

• At least 3 years of relevant post-baccalaureate professional experience directly related to the task activities.
• Strong analytical and critical thinking skills.
• Experience with reporting analytical findings.
• Experience working with data layers.
• Experience with qualitative data analysis.
• Early childhood knowledge preferred., * Experience supporting OHS or ACF.
• Experience with HSES, AMS, GrantSolutions, Smartsheet, and SmartFlow.
• Experience supporting Federal grants management reporting, statistical analysis, survey implementation, GIS, Tableau, Power BI, Python, R, SQL, and AI-enabled analytics., * At least a Bachelor’s in Statistics, Mathematics, Economics, Data Science, or related field from an accredited university or college.

Pulled from the full job description

• Tuition reimbursement
• 401(k) matching
• Vision insurance
• 401(k) 5% Match
• Dental insurance
• Disability insurance

• Happy hour, * VPD is proud to be a certified Great Place to Work in 2022-2023 & 2025 and named to the Inc. 5000 list of the fastest-growing private companies in America for 2025! See more about what our employees think! Working at VPD Government Solutions

  Great Place to Work®

• Robust employee benefits package beginning on 1st of the month following hire date including health, dental, vision, life, and disability insurance
• 401(k) with 5% employer matching
• Flexible time off program
• Tuition reimbursement program
• Opportunities for professional development
• Employee-centric work culture including company sponsored events, happy hours, and team-building opportunities, frequent communications/information sharing from Leadership, supportive and positive teamwork environment, “open door” policy, etc.