Data Quality Analyst

• 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.

• 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., Quality Engineering Analyst, Level 2, Onsite in Charlotte, NC We are seeking a skilled and detail-oriented Quality Engineering Analyst, Level 2 (QE Analyst) to ensure delivery of…