7 model validation analyst jobs at 5 companies in Manassas, VA
1mo
Save
Mark Applied
Hide
1mo
BI Data Analyst
Bethesda, Maryland, United States
OnsiteFull Time
Rapid Finance: Provides working capital and financing solutions to small businesses.
3+ YOE3+ years BI/data analysis experience, strong Power BI and Microsoft SQL Server skills, familiarity with Microsoft Fabric, dimensional modeling, data validation, and stakeholder-facing reporting.
Power BI, paginated reports, Microsoft SQL Server, Microsoft Fabric, Power BI Report Builder, SSRS, SSIS, Azure Data Factory, DAX, T-SQL, Python, R
Department of Veterans Affairs: Provides healthcare and benefit programs for United States veterans.
Specialized experience in requirements development, data modeling, data science, statistical analysis, data validation, reporting, project management, and qualitative and quantitative program evaluation.
Fairfax County: Providing public administration and services for Fairfax County residents.
5+ YOEBachelor's degree in IT or related field plus 5+ years data analysis/warehouse experience; experience with ETL, data modeling, cloud warehouses, GDPR/HIPAA compliance, and relational databases; valid driver's license required.
Oracle, DB2, Apache Airflow, Azure Data Factory, FME Form, Spark, Hadoop, SQL Server, PostgreSQL, Snowflake, AWS Redshift, Azure Synapse, Google BigQuery, XML
ITA International: Provides professional services and data analytics for defense operations.
8+ YOEApply operations research and simulation to analyze management problems, build and test models, gather and validate data, and prepare reports; TS/SCI with full scope polygraph required.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
5+ YOE2+ MgmtAdvanced quantitative degree and 5+ years data analytics experience, 2+ years people management, experience with large data sets, statistical modeling, validation, and leadership skills.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
5+ YOE2+ MgmtBachelor's in a quantitative field plus 7 years (or Master's plus 5) of data analytics experience; 5+ years professional data analysis; 5+ years with open-source data technologies; 2+ years managing people; experience validating analytical models.