Data Analyst at Federal Acquisition Service

As a Data Analyst, you will serve as a senior Program Analyst with specific technical expertise in data analytics. Location of position: Washington, DC; Kansas City, MO; Fort Worth, TX; Lakewood, CO; Tacoma, WA; Atlanta, GA; New York, NY; Boston, MA; San Francisco, CA; Philadelphia, PA; Chicago, IL We are currently filling one vacancy, but additional vacancies may be filled as needed.

Major duties

• Consults with stakeholders and customers to identify the appropriate data, methodological approach, and design. Conducts observational analyses using software and/or programming languages such as R, Python, or SAS to explore/group data, test hypotheses, predict outcomes, and inform decisions. Translates complex concepts, findings, and limitations into concise, plain language. Researches and designs presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling where appropriate. Provides technical advice to the Division Director in the collecting, analyzing, interpreting and communicating insights from data. Provides technical recommendations in the development, implementation, and oversight of new technologies, as well as in the modernization of existing services. Accesses, merges, cleans, standardizes, and develops derived metrics on multiple structured datasets; has familiarity with appropriate software and automation tools. Serves as a resource and leader to Federal and contractor staff on implementing, managing, tracking and evaluating large scale and extremely complex data analysis projects and their associated requirements and risks.

Qualifications

To evaluate your qualifications, your resume must clearly demonstrate how you meet the specialized experience described below. Your resume must not exceed two pages. To ensure your qualifications can be fully evaluated, we recommend including the following information: Name, address, telephone number, email address; Job Title (if Federal Service, provide series and grade; if not in GS plan, provide GS equivalent grade); Relevant work experience—should include employer name, job title, start and end dates (month/year), the number of hours worked per week and descriptions that explain how you meet the required qualifications in the job announcement. Education, certifications or licensures—If the job announcement requires any education, certifications or licensures, make sure to include the required information and any required documents like transcripts. Your resume should contain enough information to make a valid determination that you fully meet experience requirements for each grade level you are applying to. If you do not provide enough information for us to determine your qualifications, you may be rated ineligible. If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume. The GS-14 salary range starts at $127,829 per year. If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected. To qualify, you must have at least one year of specialized experience equivalent to the GS-13 level or higher in the Federal service. Specialized experience is defined as experience that must include all four of the following: Leading or independently conducting data analytics projects involving large, complex, or disparate datasets to support program, business, operational, or strategic decision-making; Using data 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 analytical findings, assumptions, limitations, trends, and recommendations into reports, dashboards, visualizations, briefings, or other decision-support products for management, technical, or non-technical stakeholders; and Providing technical guidance or project leadership to cross-functional teams, stakeholders, analysts, contractors, or program staff on data quality, reporting, automation, business intelligence, analytics modernization, or data-driven process improvement initiatives.