Data Quality Analyst

🕒 4 days ago

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

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Markel

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💸 Finance

🤝 B2B

Finance • B2B

Markel is a global specialty insurance provider offering a wide range of commercial and personal insurance products and risk management solutions. The company provides admitted and non-admitted lines including workers' compensation, errors & omissions, accident medical, general liability, commercial and farm property, equine mortality, excess and surplus lines, commercial pollution liability, surety, and specialty personal lines (marine, powersports, bicycle, event insurance). Markel serves brokers, agents, wholesale and national markets across the US, Bermuda and internationally, and offers online portals for customers and producers to manage policies, payments, and claims.

📋 Description

• Own day-to-day DQ monitoring across DQPro and Ataccama, keeping controls current, effective, and well-documented. • Run validation, reconciliations, and profiling to identify anomalies, false positives, and root causes. • Produce data analysis and feedback to evidence progress, highlight trends, and ensure clear visibility of data quality status and outcomes. • Support release and environment checks (pre‑prod to prod) and help transition new controls into stable BAU monitoring. • Maintain DQ registers, rule inventories and evidence packs, producing clear summaries for governance forums. • Build familiarity with Reference Data Management (RDM) processes and support the business with ad‑hoc queries, guidance and operational needs as required. • Track recurring issues and improvements, partnering with stakeholders to drive remediation and strengthen monitoring over time.

🎯 Requirements

• Strong SQL fundamentals – able to read, test and make minor adjustments to queries • Proven capability in data validation and reconciliation, with a good attention to detail • Confidence working with data quality controls, including thresholds, exceptions and outcomes • Clear written communication, with the ability to produce concise, structured documentation • Execution‑focused and comfortable with repeatable operational tasks • Receptive to feedback and structured ways of working • Exposure to DQPro, Ataccama, or similar DQ tools • Knowledge of insurance data and understanding of data governance concepts (ownership, SLA, severity, escalation) • Experience with Power BI and/or Tableau for dashboards and data visualisation • Basic familiarity with Databricks / cloud data platforms

🏖️ Benefits

• Up to 16% company pension scheme • Private medical and dental cover • Menopause plan • Emergency care benefit (children/Pets/dependants) • Income protection • Life assurance • Electric car scheme • Travel insurance • 25 days paid holiday plus Bank Holidays, with the opportunity to buy/sell extra leave