Data Quality Analyst

Tata Consultancy Services; Charlotte (NC); On-site; USD 110,000 - 135,000; Full time

Job summary

Tata Consultancy Services is seeking a data quality initiative lead in the United States (Charlotte area). You will drive requirements gathering with business stakeholders, translate ambiguous language into testable specs, and validate data quality rules using SQL.

Expect to manage backlogs, produce stakeholder reports, and partner with engineers to ensure data readiness for product initiatives. The role emphasizes collaboration across functions, facilitating cross-team communication, and

Qualifications

• 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.
• Working SQL skills sufficient to explore data independently, validate assumptions, and communicate credibly.

Responsibilities

• Partner with business stakeholders to define data quality requirements organized by business function and subject area.
• Identify and document the critical data elements, quality expectations, thresholds, severity, and steward/owner responsible for triage.
• Define cross-entity correlation requirements as quality rules alongside field-level checks.
• Own and prioritize the data quality rule backlog by subject area, balancing business impact, regulatory importance, and engineering effort.

Skills

Stakeholder facilitation

Communication skills

Backlog management

Documentation & reporting

Ambiguity translation

Education

Bachelor of Computer Science

Tools

SQL

Job description

Job Description

• 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
• Working SQL skills sufficient to explore data independently, validate assumptions, and communicate credibly

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
• Working SQL skills sufficient to explore data independently, validate assumptions, and communicate credibly

relationship/correlation requirements across entities

• 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
• 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

Qualifications

BACHELOR OF COMPUTER SCIENCE