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    Data Analyst - Springfield, United States - Public Buildings Service

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    Description

    Summary

    As a Data Analyst , you will plan and perform data management work of a complex nature, extracting data from multiple sources, assessing historical information, making predictions on future performance, and identifying trends.

    Location of position: Public Buildings Service (PBS), National Capital Region (NCR), Office of Facilities Management (OFM), Metropolitan Service Center Springfield, VA.

    We are currently filling one vacancy, but additional vacancies may be filled as needed.

    Duties

  • Applies a wide range of quantitative and qualitative principles and methods, as well as descriptive analytics to analyze, document, and as needed, present historical trends and program information. Analyzes data patterns; identifies anomalies; and brings them to the attention of the supervisor or a higher graded specialist. Collects data and using standard statistical techniques, prepares summaries and/or findings which document trends and/or data relationships.
  • Uses structured query language (SQL) and visual basic for applications (VBA) programming in addition to Microsoft Access, Excel, Google Sheets, and/or other analytic tools to retrieve standard data from the GSA national systems through Open Database Connectivity (ODBC).Uses data visualization tools, such as Tableau or MicroStrategy, to design and present information that is visually consistent. In collaboration with higher graded staff, provides advice to other staff throughout NCR on matters relating to data gathering, systems management, and information needs to support the Division.
  • Evaluates PBS business systems and processes to capture and document findings used to improve data accuracy and business system effectiveness. Extracts, reviews, and validates standard data to support and make recommendations for improvements for performance measures that impact the Division.
  • Collaborates with others in OFM to ensure comprehensive information through data sharing and electronic data interchange throughout the Division. Participates in broader data analysis studies and complex projects with higher graded staff and in so doing, contributes to proposed solutions to errors, and gathers and evaluates a variety of business data to shape it into useful business information and tailored reports.

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