[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Charlotte, NC # Data Quality Analyst Charlotte, NC $110,000 to $135,000 per year Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/424588J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Data Quality Analyst ## Job description ### Must Have Technical/Functional Skills - 3+ years in business analyst, data analyst, or similar roles involving direct stakeholder-facing requirements gathering. - 1+ year exposure to data quality, data governance, or data management initiatives preferred. - Ability to translate ambiguous business language into precise, testable requirements; including relationship/correlation requirements across entities - Working SQL skills sufficient to explore data independently, validate assumptions, and communicate credibly with engineers (advanced development skills not required). - Strong facilitation and communication skills, comfortable working live with both technical teams and non-technical business stakeholders at multiple levels. - Organizational and follow-through skills for managing a backlog, tracking commitments across many stakeholders, and keeping a distributed process on track. - Experience producing clear documentation and stakeholder-facing reporting. ### Roles & Responsibilities Requirements & Rule Backlog - Partner with business stakeholders to define data quality requirements organized by business function and subject area, framing quality in terms of the business capabilities it enables. - Within each subject area, identify and document the critical data elements, quality expectations, thresholds, severity, and the steward/owner responsible for triage. - Define cross-entity correlation requirements as first-class quality rules alongside field-level checks. - Work with stakeholders to define derived, subject-area-level quality scores tied to business readiness (e.g., readiness of quote and exposure data to support new product development or provisional quoting), so quality is measured against outcomes. - Own and prioritize the data quality rule backlog by subject area, balancing business impact, regulatory importance, and engineering effort in partnership with the Data Quality Engineer. - Validate implemented rules with business stakeholders before deployment, confirming the rule measures what the business intended. - Maintain traceability between business requirements, implemented rules, and the subject areas and systems they cover ### Steward Enablement & Program Oversight - Onboard and train Business Data Stewards and data owners on the decentralized alert and triage model, including how to interpret, work, and resolve alerts in DQLabs. ### Develop and maintain steward-facing materials - triage guides, alert response expectations, escalation paths, and FAQ documentation. ### Monitor the health of the steward network - track alert response and resolution rates, identify stale or unworked alerts, and follow up with stewards and their leadership when triage lags. - Manage the escalation process for data quality issues that are unclaimed, cross-domain, or exceed steward authority to resolve. - Gather steward feedback on alert quality and usability, feeding it back to the Data Quality Engineer for rule tuning. Reporting, Adoption, and Communication - Shape data quality dashboards and reporting around business subject areas so data owners can see clearly which capability needs improvement. ### Produce recurring reporting on program effectiveness for leadership - subject-area quality and readiness scores, rule coverage, alert volumes and trends, triage responsiveness, and open issue aging. ### Drive adoption and usability of the program - identify and cultivate the community of business consumers who rely on data quality outputs, gather their feedback, and demonstrate the business value the program delivers - Support organizational change management activities (communications, onboarding, stakeholder engagement) as quality processes and dashboards roll out to business teams. - Communicate program status, wins, and gaps to stakeholders in business-friendly terms. ### Salary Range $110,000 to $135,000 per year