6 data quality analyst jobs at 6 companies in Wheeling, WV
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Deposit Data Quality Analyst
Pittsburgh, Pennsylvania, United States
OnsiteFull Time
Raymond JamesNew York Stock Exchange: RJF: Provides wealth management, investment banking, and retail banking services.
5+ YOEOwn and improve deposit data quality across deposit products; design and maintain first-line controls; remediate data issues; support regulatory reporting and governance; 5+ years deposit/data experience and bachelor's degree required.
Oncology Nursing Enterprise: Professional association and certifying body for oncology nursing excellence.
4+ YOEBachelor's in a related field (or equivalent experience), 4+ years with enterprise data governance, metadata management, data quality and lineage, proficiency with SQL and cloud analytics, strong stakeholder and communication skills.
SQL, Microsoft Azure, Microsoft Fabric, Microsoft Purview
EXLNASDAQ: EXLS: Provides data analytics and digital operations solutions to businesses.
5+ YOEBachelor's degree required; 5+ years in QA/Quality Engineering or test automation; experience implementing AI/ML in QA, test automation (Selenium/Playwright/Cypress/UFT), API/backend testing, CI/CD integration, and programming in Python/Java/JavaScript/C#.
WescoNYSE: WCC: Distributes electrical and industrial products and supply chain solutions.
5+ YOEBachelor's required (Master's preferred), 5+ years data analytics experience, strong analytical and data quality background, familiarity with data flows and MDM, ability to perform root cause analysis, and ability to travel 25-50%.
Latitude AI: Developing automated driving technology for next-generation Ford vehicles.
Proficiency with ArcGIS or QGIS, GIS data quality control and management experience, strong analytical and communication skills; ability to work at a desk in 2D/3D virtual environments.
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
2+ YOETranslate business needs into clear, testable requirements and user stories; analyze processes, systems, and data flows; support change management and quality for fraud engineering outcomes.