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Economic Data Analyst (Federal)
Postal Regulatory Commission | |
94,199 - 158,840 | |
See working for the PRC here: https://www.prc.gov/employment-opportunities | |
United States, Washington, DC | |
901 New York Ave NW (Show on map) | |
June 08, 2023 | |
The Postal Regulatory Commission has an exciting employment opportunity for a highly motivated person with empirical skills and interest in the rigorous application of economics and data analysis.
As an Economic Data Analyst, the incumbent will analyze economic, financial and spatial data, generate charts and reports, and develop the dashboards utilizing different types of analytical software and programming languages including SAS, R, Stata, Python, SQL, Tableau, ArcGIS, MS Excel. 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 Postal matters, and to provide recommendations to Division and Office leadership. Attention to detail, the ability to identify problems, develop solutions, and clearly communicate both verbally and in writing are crucial to the successful performance of these duties. Specifically, this individual at the PRC-4 level will: · Using advanced analytical tools and techniques, collect and analyze economic data from large databases and develop new datasets for Commission analysis; · By using modern data visualization techniques help develop internal and external dashboards with charts and maps, which would also provide an opportunity to create reports; · Assist in providing advice to the Commission on matters pertaining to Postal data, including, but not limited to, detailed statistical studies and survey data, cost data, databases of service units compiled for specific operations; quantitative and qualitative reports and special analytical studies; · Contribute to the development of comprehensive methods or procedures to determine and measure the reliability, accuracy, and validity of Postal data; · Consolidate and communicate the results of analysis to diverse audiences; · Assist in the replication and audit of quantitative analyses of economic and financial data and provide recommendations to senior staff based on findings; · Review and evaluate complex data systems related to Postal Service costs, revenue, volume, productivity, and service performance; · Develop graphic presentations of statistical and economic data in various reports and Commission orders; · Contribute to the technical development of Commission reports; · Use advanced statistical and econometric models and theories, and automated data and graphic processing techniques, to explain and predict probable patterns involving mail costs, revenues, volumes, productivity, mail classifications and service performance. Specifically, this individual at the PRC-5 level will: · Using advanced analytical tools and techniques, collect and analyze economic data from large databases and develop new datasets for Commission analysis; · By using modern data visualization techniques develop internal and external dashboards with charts and maps, which would also provide an opportunity to create reports; · Contribute to the development of comprehensive methods or procedures to determine and measure the reliability, accuracy, and validity of Postal data; · Consolidate and communicate the results of analysis to diverse audiences; · Lead the replication and audit of quantitative analyses of economic and financial data and provide recommendations to senior staff based on findings; · Review and evaluate complex data systems related to Postal Service costs, revenue, volume, productivity, and service performance; · Develop graphic presentations of statistical and economic data in various reports and Commission orders; · Use advanced statistical and econometric models and theories, and automated data and graphic processing techniques, to explain and predict probable patterns involving mail costs, revenues, volumes, productivity, mail classifications and service performance. |