Overview
Skills
Job Details
Job ID: VA-778616
Hybrid/Local MS BI/DW/ETL (3 must) Lead (15+) with data analysis, SQL Server, Python, Census Geocoder, APIs experience
Location: Richmond, VA (SCC)
Duration: 12 Months
ON SITE: 2 days/week required. Parking not provided
Skills:
BS/MS degree in Computer Science, Engineering or a related subject Required 4 Years
Proven work experience in software development/programming Required 8 Years
Proven work experience in using SQL, SQL Server, and related Microsoft products Required 8 Years
Proven work experience in developing ETL and using Microsoft Visual Studio Required 8 Years
Experience in using Python and one or more business intelligence tools Required 8 Years
Experience in leading a project Required 8 Years
Experience in writing clear, concise, and comprehensive documentation Required 8 Years
Experience in training team members with different experience levels on processes Required 8 Years
Experience in creating data quality checks Required 8 Years
Experience in developing a high level plan with estimates Required 8 Years
Strong analytical skills and attention to detail Required 8 Years
Strong communication skills to effectively collaborate with team members and other agency employees Required 8 Years
Ability to analyze data, identify issues, and validate data accuracy Required 8 Years
Ability to work under pressure and adhere to tight deadlines while maintaining high-quality work Required 8 Years
Experience using Census Geocoder Desired 8 Years
Experience using APIs Desired 8 Years
Description:
ABOUT THE ROLE
Supplement division staff by executing existing metric procedures for statutory and ad hoc reporting as well as data discrepancy assessment and resolution. Developend-to-end automation framework and documentation to load data and query results to SQL Server tables using standard Microsoft products. Build, validate, document, and implement end-to-end process using automation framework to load vendor-provided data and other division data, to calculate regulatory and division metrics, and to perform data quality checks and address geographies coding. Train division staff on use and maintenance of automation framework.