Program Data Analyst

Federal Acquisition Service; United States; On-site; USD 82,000 - 100,000; Full time

Job summary

Federal Acquisition Service (FAS) within the General Services Administration seeks a Program Data Analyst to provide in-depth analysis of administration programs. The position is located at GSA/FAS, Office of the Business Optimization.

We are currently filling one vacancy, with opportunities for additional vacancies as needed. Your resume should demonstrate how you meet the specialized experience, including applying quantitative methods to analyze data and collaborate with customers to improve

Qualifications

• Experience in technical data analytics applying quantitative methods to identify problems, extract, and analyze data.
• Experience using analysis tools and/or programming instruments to monitor the progress of the user experience.
• Experience conducting data analysis to identify key issues and provide recommendations for user experience improvement.
• Experience collaborating with customers to understand the changes to the information system impacting data performance and/or user experience.

Responsibilities

• Using analysis tools and/or other programming instruments to monitor the progress of the user experience.
• Conducting data analysis to identify key issues and provide recommendations to management for user experience improvement.
• Collaborating with customers to understand the changes to the information system impacting data performance and/or user experience.

Skills

Data analytics

Quantitative analysis

Stakeholder collaboration

Tools

Analysis tools

Job description

As a Program Data Analyst, you will be responsible for providing in-depth analysis on a variety of subject matter involving the evaluation of various administration programs.

Location of position: This position will be located in General Services Administration, Federal Acquisition Service (FAS), Office of the Business Optimization. We are currently filling one vacancy, but additional vacancies may be filled as needed.

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-12 salary range starts at $90,968 per year. 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 defined as: Experience in technical data analytics applying quantitative methods to identify problems, extract, and analyze data.

This experience includes the following:

• Using analysis tools and /or other appropriate programming instruments to monitor the progress of the user experience.
• Conducting data analysis to identify key issues to provide recommendations to management for user experience improvement.
• Collaborating with customers to understand the changes to the information system impacting data performance and/or user experience.