Data Quality & Governance Analyst (Nashville, TN)

The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline. We are seeking a detail-oriented, analytical Data Quality & Governance Analyst to strengthen enterprise data integrity and help turn data into a trusted strategic asset. This individual contributor will lead hands-on data-quality initiatives across master data environments, identify and resolve complex data inconsistencies, and establish sustainable practices that improve efficiency, reduce risk, and enable smarter, data-driven decisions. The ideal candidate thrives on solving difficult data challenges and understands that data is more than a technical requirement—it is foundational to operational excellence, financial accuracy, compliance, stakeholder experience, and business growth. This role is well suited to someone with a strong background in data-intensive, regulated, or financial-services environments. Key Responsibilities Lead data-quality assessments and improvement initiatives across enterprise and master data domains. Profile, validate, cleanse, reconcile, and monitor data to identify gaps, duplicates, inconsistencies, and integrity issues. Investigate root causes of data-quality problems and coordinate practical, sustainable resolution with business and technical stakeholders. Serve as a data steward for assigned data domains, helping define ownership, standards, controls, business rules, and quality expectations. Develop and maintain data-quality metrics, scorecards, dashboards, exception reports, and remediation tracking. Partner with business teams, finance, delivery, technology, and risk/compliance stakeholders to improve data governance practices. Support the design and maintenance of unified data models, common definitions, and master-data management processes. Document data flows, critical data elements, validation rules, business definitions, lineage, and operating procedures. Improve data-entry processes and controls to prevent errors at the source and promote consistent adoption across teams. Use data analysis to identify process-improvement opportunities that reduce manual effort, improve accuracy, and strengthen internal controls. Support audit, regulatory, reporting, and operational requirements by ensuring data is complete, accurate, timely, and traceable. Translate complex data issues into clear, actionable recommendations for both technical and non-technical audiences. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing View email address on click.appcast.io or by calling View phone number on click.appcast.io in the United States.Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.Disclaimer:Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $67,900 to $166,100 per annum. May be eligible for bonus and equity.Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.Oracle US offers a comprehensive benefits package which includes the following:1. Medical, dental, and vision insurance, including expert medical opinion2. Short term disability and long term disability3. Life insurance and AD&D4. Supplemental life insurance (Employee/Spouse/Child)5. Health care and dependent care Flexible Spending Accounts6. Pre-tax commuter and parking benefits7. 401(k) Savings and Investment Plan with company match8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.9. 11 paid holidays10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.11. Paid parental leave12. Adoption assistance13. Employee Stock Purchase Plan14. Financial planning and group legal15. Voluntary benefits including auto, homeowner and pet insuranceThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.Career Level - IC3Required Qualifications Bachelor’s degree in Business, Finance, Information Systems, Data Analytics, or a related field; equivalent relevant experience may be considered. Eight or more years of experience in data quality, data governance, master data, business analysis, data operations, finance operations, or a related discipline. Demonstrated experience resolving complex data-quality issues across multiple systems or data sources. Strong understanding of data validation, reconciliation, data integrity, data governance, stewardship, and process improvement. Advanced Microsoft Excel skills, including complex formulas, pivot tables, data analysis, lookups, and error identification. Experience with reporting or data-visualization tools such as Tableau, Power BI, or similar platforms. Experience working with enterprise systems, data warehouses, CRM, ERP, financial, or master-data platforms. Strong attention to detail, organization, and ability to manage multiple priorities while maintaining high accuracy. Excellent problem-solving, documentation, communication, and stakeholder-management skills. Preferred Qualifications Experience using SQL to query, validate, reconcile, and analyze data. Experience in financial services, banking, insurance, accounting, fintech, or another highly regulated environment. Experience with formal data-governance frameworks, master-data management, data catalogs, or metadata-management tools. Familiarity with data-quality tools, data controls, audit support, or regulatory reporting. Experience designing data-quality rules, key performance indicators, and governance operating models. Certification or coursework in data governance, data management, business analysis, Lean, Six Sigma, or a related discipline. What Success Looks Like In this role, you will help create a more trusted, consistent, and usable data environment. Success means fewer recurring data issues, stronger ownership and controls, more efficient processes, improved confidence in reporting, and business teams that can make faster, better-informed decisions using reliable data. Full timePosting Date: 2026-08-26