Data Analytics

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-13 salary range starts at USD 117,284 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-12 level or higher in the Federal service.

Specialized Experience is : Consulting with stakeholders and customers to identify the appropriate data, methodological approach, and design to use when facilitating high level projects and/or responding to customer requests and requirements. Utilizing analytic and statistical software to programmatically prepare data for analysis and clean imperfect data such as probabilistic matching and imputation of missing values.

Making strategic recommendations on data collection, integration, and retention requirements incorporating business requirements and knowledge of best practices.