Data Quality Analyst

Business AnalystJob 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 Location: Charlotte, NC Job Function: TECHNOLOGY Role: Business Analyst