The Office of Inspector General is an independent office within the EPA that helps the agency protect the environment in a more efficient & cost effective manner. We perform audits, evaluations, & investigations of the EPA to promote economy, efficiency, and to prevent and detect fraud, waste and abuse. We strive to provide solutions to problems that ultimately result in making America a cleaner and healthier place.

Duties

This position is located in the Office of Strategic Analysis and Results, Data Analytics Directorate. The Data Analytics Directorate supports the Office of Audit, the Office of Evaluation, and the Office of Investigations by leveraging advanced analytics that highlight key risk areas to program integrity within EPA programs and operations.

Requirements

• You must be a U.S. citizen.
• Background Investigation Required.

Qualifications

All applicants must have 1 year of specialized experience equivalent to at least the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the candidate with the particular knowledge, skills, and abilities to perform successfully the duties of the position. Qualifying specialized experience must demonstrate the following: GS-12: 1) Apply code writing and programming languages (SQL, Python, R, SAS, Power Query, DAX) to analyze disparate and large datasets; 2) Apply code writing and programming languages (Python, R) to extract, transform and load disparate and large datasets; 3) Create and present data visualizations using Power Bl Desktop, 12 Analyst Notebook or similar Link Analysis software, ArcGIS Pro, Tableau and/or SAP Business Objects; 4) Document work product and create written reports for clients; and 5) Experience working with audits, evaluations, and/or investigations. GS-13: 1) Leads and advises a small team on the best practices and methodologies for analyzing and reporting on data; 2) Apply code writing and programming languages (SQL, Python, R, SAS, Power Query, DAX) to analyze disparate and large datasets; 3) Apply code writing and programming languages (Python, R) to extract, transform and load disparate, large, structured and unstructured datasets; 4) Create and present data visualizations using Power Bl Desktop, 12 Analyst Notebook or similar Link Analysis software, ArcGIS Pro, Tableau and/or SAP Business Objects; 5) Apply automation processes to data collection, transformation, and reporting products to reduce manual processes; 6) Document work product and create written reports for clients; and 7) Experience working with audits, evaluations, and/or investigations. Evidence of the above specialized experience must be supported by detailed documentation of duties performed in positions held. Your resume is the key means we have for evaluating your skills, knowledge, and abilities as they relate to this position. Therefore, we encourage you to be clear and specific when describing your experience. We will not make assumptions regarding your experience or based on job titles alone. If your resume does not support your questionnaire answers, we will not allow credit for your response(s). Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.  Applicants must meet the qualifications for this position within thirty (30) days of the closing date of this announcement. 

Education

This position does not have a mandatory education requirement.

Contacts

• Address Environmental Protection Agency US Environmental Protection Agency 1200 Pennsylvania Avenue, NW MC: 2450T Washington, District of Columbia 20460 United States
• Name: Inspector General Ofc-HR
• Phone: 000-000-0000
• Email: [email protected]