Data Quality Analyst job opportunity at The Hartford.

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DatePosted 30+ Days Ago bot
The Hartford Data Quality Analyst
Experience: 3-years
Pattern: full-time
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loacation Wayne, PA, United States Of America
loacation Wayne, PA....United States Of America

Data Analyst - 87IB6E We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.              Hartford Funds is seeking a bright and motivated Data Analyst to join our Data Quality team. This role is central to ensuring the accuracy, reliability, and operational excellence of the firm’s data ecosystem. The analyst will monitor and manage daily data operations, triage and resolve data quality alerts, support ongoing data quality initiatives, and collaborate closely with internal stakeholders and external data providers. In addition, the role contributes to longer term improvements that reduce operational risk and strengthen trust in the firm’s 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. Qualifications: 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 Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $85,000 - $115,000 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us  |  Our Culture  |  What It’s Like to Work Here  |  Perks & Benefits

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