Senior Data Analyst for Large-Scale Federal Programs

GSA; Washington (District of Columbia); On-site; USD 128,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Paid time off

Thrift Savings Plan

Transit subsidies

Flexible spending accounts

Long-term care insurance

Training and development

Job summary

GSA is seeking a Data Analyst to serve as a senior Program Analyst with specialized expertise in data analytics. The role involves leading data-driven projects, guiding cross-functional teams, and communicating complex results to stakeholders across multiple federal offices.

Responsibilities include developing derived metrics, merging and cleaning datasets, and supporting modernization efforts with data-driven recommendations.

Qualifications

• Leading or independently conducting data analytics projects involving large, complex datasets to support program, business, operational, or strategic decision-making.
• Translating analytical findings into reports, dashboards, visualizations, briefings for management and stakeholders.
• Providing technical guidance or project leadership on data quality, reporting, automation, BI, or analytics modernization.

Responsibilities

• Consults with stakeholders to identify data, methodological approach, and design; conducts analyses in R, Python, or SAS to explore data and inform decisions.
• Translates complex findings into concise language; designs presentations and interpretations for diverse audiences, using interactivity and storytelling as needed.
• Advises Division Director on data collection, analysis, interpretation, and insights; supports modernization of services and new technologies.

Skills

Data analytics projects

Big data handling

Stakeholder communication

Data visualization

Tools

R

Python

SAS

Job description

GSA is seeking a Data Analyst to serve as a senior Program Analyst with specialized expertise in data analytics. The role involves leading data-driven projects, guiding cross-functional teams, and communicating complex results to stakeholders across multiple federal offices.

Responsibilities include developing derived metrics, merging and cleaning datasets, and supporting modernization efforts with data-driven recommendations.