Data Analyst

About this role

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 USD 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.