The Postal Regulatory Commission has an exciting employment opportunity for a highly motivated and curious person with empirical skills and interest in statistical analysis.

Duties

As an Econometrician, the incumbent will perform data and statistical analysis and generate reports utilizing SAS, MS Excel and other types of analytical software (such as Stata, E-Views, MS Power BI, Tableau, and ArcGIS) and programming languages (e.g., Python, SQL and R). Based on the analyses of economic, financial or spatial data, as well as the review of the econometric models' outputs, the incumbent will be summarizing findings and providing reports and recommendations to Division and Office leadership. The work performed involves evaluating and applying mathematical and econometric methods and techniques, assisting senior economists/econometricians in designing and developing econometric approaches, and analyzing postal economic and costing matters. The incumbent will work with the Deputy Director, Director, and other subject matter experts in the Office of Accountability and Compliance to contribute to the planning and implementation of projects concerning a broad range of economic postal matters and postal demand models. Attention to detail, ability to identify problems, to develop solutions, and to clearly communicate both verbally and in writing are crucial to the successful performance of these duties. In addition, this individual will: Use advanced econometric models and theories, automated data and graphic processing techniques, to explain and predict probable patterns involving mail costs and revenues, as well as classifications and service performance for mail products. Apply comprehensive analytical methods or procedures to determine and measure the reliability, accuracy, and validity of data and techniques. Review data for source accuracy and refine into useable format. Identify and substantiate reporting disparities regarding changes, trends, or circumstances not readily evident from the data retrieved. Develop graphic representations of economic, financial, spatial and other data in various reports. Review and analyze the project data and replicate the proposed model to determine relevancy of data as well as model fit to a specific application. Prepare spreadsheets and documents and present project data findings and recommendations for use in the development of statistical models. Prepare written and oral reports based on data and statistical analysis and make quantitative information accessible to non-technical audiences. Review and evaluate complex data systems related to Postal Service costs, revenue, and volume. Replicate and audit quantitative analyses of financial and economic data and provide recommendations to senior staff based on findings. Assist senior management in preparing responses to information requests from Congress, the Postal Service, mailers, and/or the general public.

Requirements

• Citizenship Requirement: You must be a U.S. citizen or national to be eligible for this position.
• Fair Labor Standards Act (FLSA) Status: Exempt
• e-Verify: All new hires must complete the I-9 form, this information will be processed through e-Verify to determine employment eligibility. If a discrepancy arises, you must take affirmative steps to resolve the matter.
• Background Investigation Requirement: You must successfully pass a background investigation. Failing to pass the background check may be grounds for removal or legal action. If hired, you may be subject to additional investigations at a later time.
• Direct Deposit: You will be required to have all federal salary payments electronically deposited into a bank account with a financial institution of your choice.
• Selective Service Registration: All applicants born male, on (or after) 12/31/1959, must be registered with the Selective Service System OR have an approved exemption. Visit www.SSS.gov for more info.
• This position may require you to submit a Public Financial Disclosure Report (OGE 278) upon entry and annually thereafter.
• You will be required to serve a probationary period of 1 year.
• Relocation expenses are not authorized.

Qualifications

To be eligible for consideration, your application materials must demonstrate that you have experience that has equipped you with the ability, skill and knowledge to successfully perform the duties of the position described above. Successful candidates will have the following knowledge, skills, and abilities (KSAs): Knowledge of statistical and optimization models and techniques Skills in application of analytical methods, including statistical and data analysis techniques, to economic problem solving Skills in data collection, analysis and visualization Written communication skills Verbal communication and presentation skills Ability to evaluate accuracy of data, applicability of modeling approaches and reliability of the results Ability to explain analytical results to groups of people, including non-technical audience Research skills necessary for decision making and effective contribution on public policy issues Some knowledge of microeconomic concepts and costing Ability to learn about the Postal Service market, products and operations To be eligible for consideration, your application materials must demonstrate that you have experience that has equipped you with the ability, skill, and knowledge to successfully perform the duties of the position described above. Typically, experience will be related to legal or regulatory work at a level similar to this position and may encompass 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.

Education

A. Master's or Ph.D. in a quantitative field (e.g., mathematics, statistics, engineering, business, operations research, science, economics) that included four higher level courses in quantitative analysis.

B. At least 2 years of work experience in statistical and data analysis or an equivalent combination of work experience and training that provided professional knowledge of statistical and data analysis techniques

OR

C. Bachelor's degree in quantitative fields (e.g., mathematics, statistics, engineering, business, operations research, science, economics) that included at least 12 semester hours of data and/or statistical analysis and 12 hours of economic courses or 24 semester hours of economic, data and statistical analysis combined or a relevant course work.

D. At least 4 years of work experience in statistical and data analysis or an equivalent combination of work experience and training that provided professional knowledge of statistical and data analysis techniques

Contacts

• Address Postal Regulatory Commission 901 New York Ave NW Washington, DC 20268 US
• Name: HR Office
• Email: employment@prc.gov