The Hartford is seeking a Data Quality Analyst to join the Hartford Funds Data Quality team. This role ensures the accuracy, reliability, and operational excellence of the firm’s data ecosystem by monitoring data operations, resolving data quality alerts, and collaborating with stakeholders and data providers. The analyst will also contribute to long-term improvements that reduce operational risk and strengthen trust in data.
Responsibilities
- Triage data quality alerts, coordinate with stakeholders, communicate ETAs, and track remediation.
- Perform rapid root‑cause analysis across pipelines, applications, and source systems; document and drive corrective actions.
- Develop new controls based on analysis and feedback from business partners.
- Collect, analyze, and interpret data to identify trends, patterns, and opportunities for improvement and/or correction.
- Work with vendors and/or internal systems to improve quality and timeliness of data.
- Ensure data accuracy and integrity by performing regular data audits and validation.
- Maintain documentation (runbooks, SOPs, data controls, lineage maps, validation coverage).
- Design, build, and maintain data quality & operational dashboards.
- Contribute to data standards, definitions, and quality KPIs with data stewards and governance leaders.
- Execute time‑sensitive analysis for sales, distribution, product, and investments teams using SQL/Python/BI tools.
- Translate business questions into queries/metrics; deliver findings with clear narrative, visuals, and recommended actions.
Requirements
- Bachelor’s degree in Information Systems, Data Management, Business, Analytics, or related field.
- 3+ years of experience in data operations, data quality, or related data management disciplines.
- Experience developing dashboards in Tableau.
- Experience building validation rules, exception workflows, and data quality controls.
- Strong understanding of data lifecycle, data pipelines, ingestion workflows, and data dependencies.
- Strong proficiency in SQL (ability to interpret and write queries and validation rules).
- Strong problem solving under time pressure; ability to own incidents end-to-end.
- Skilled in developing process documentation, SOPs, and operational playbooks.
- Excellent communication skills, able to simplify technical issues for business stakeholders.
- Strong organizational skills with the ability to manage multiple priorities simultaneously.
- Knowledge of reference/master data management and metadata practices.
Preferred Qualifications
- Experience with Python or data automation workflows.
- Familiarity with data governance frameworks
Technical Stack
SQL, Python, Tableau, BI tools, data pipelines, data validation, data quality controls, data audits, dashboards
Benefits
- Short-term or annual bonuses
- Long-term incentives
- On-the-spot recognition
- Perks & Benefits (as listed on company website)
Compensation
$85,000 - $115,000. Short-term or annual bonuses, long-term incentives, on-the-spot recognition
