Data Analyst

Federal Acquisition Service•San Francisco, CA

About The Position

The Data Analyst serves as a senior Program Analyst with specialized technical expertise in data analytics. The role consults with stakeholders and customers to identify suitable data, analytical methods, and study designs; conducts observational analyses; and communicates findings and limitations in plain language. It also develops audience-tailored presentations and interpretations of analytical results, including interactive presentations and narrative storytelling where appropriate. The position provides technical advice to the Division Director on collecting, analyzing, interpreting, and communicating data insights. It recommends approaches for developing, implementing, and overseeing new technologies and modernizing existing services. The analyst accesses, merges, cleans, and standardizes multiple structured datasets, develops derived metrics, and uses appropriate software and automation tools. The role also serves as a resource and leader to Federal and contractor staff on large-scale, complex data-analysis projects and their requirements and risks. The position is located in Washington, DC; Kansas City, MO; Fort Worth, TX; Lakewood, CO; Tacoma, WA; Atlanta, GA; New York, NY; Boston, MA; San Francisco, CA; Philadelphia, PA; or Chicago, IL. The announcement is for one vacancy, with additional vacancies potentially filled as needed.

Requirements

U.S. citizenship or status as a U.S. national (resident of American Samoa or Swains Island).
Meet all eligibility criteria within 30 days of the closing date.
Meet time-in-grade requirements within 30 days of the closing date, if applicable.
Register with Selective Service if male and born after December 31, 1959.
If currently or within the last five years a political Schedule A, Schedule C, or non-career SES employee in the Executive Branch, disclose this information to the HR Office; OPM authorization is required for employment offers to current or former political appointees.
Serve a one-year probationary period, if required.
Pass a Tier 2 background investigation.
If not a GSA employee, have identity and work-status eligibility verified through DHS e-Verify and resolve any discrepancies as a condition of continued employment.
Have at least one year of specialized experience equivalent to the GS-13 level or higher in Federal service, including all of the following: leading or independently conducting analytics projects involving large, complex, or disparate datasets for decision-making; using analytics tools, query or scripting languages, business intelligence platforms, statistical software, or cloud-based data environments to access, manipulate, validate, analyze, automate, or visualize data; translating findings, assumptions, limitations, trends, and recommendations into decision-support products; and providing technical guidance or project leadership to cross-functional teams or stakeholders on data quality, reporting, automation, business intelligence, analytics modernization, or data-driven process improvement.
Submit a resume of no more than two pages that clearly demonstrates how the specialized experience requirement is met.

Responsibilities

Consult with stakeholders and customers to identify appropriate data, methodological approaches, and analytical designs.
Conduct observational analyses using software or programming languages such as R, Python, or SAS to explore and group data, test hypotheses, predict outcomes, and inform decisions.
Translate complex concepts, findings, and limitations into concise, plain language.
Research and design presentations and interpretations of analytical outputs for specific audiences, using interactivity and narrative storytelling where appropriate.
Provide the Division Director with technical advice on collecting, analyzing, interpreting, and communicating data insights.
Provide technical recommendations for developing, implementing, and overseeing new technologies and modernizing existing services.
Access, merge, clean, and standardize multiple structured datasets and develop derived metrics using appropriate software and automation tools.
Serve as a resource and leader to Federal and contractor staff for implementing, managing, tracking, and evaluating large-scale, highly complex data-analysis projects and their requirements and risks.