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