Data Quality Analyst

TL;DR

Data Quality Analyst (SQL/DQ tools): Own day-to-day data quality monitoring across DQPro and Ataccama, running validation, reconciliations, and profiling to detect anomalies and root causes with an accent on keeping controls current and well-documented. Focus on producing evidence for governance forums, supporting pre-prod to prod release/environment checks, and strengthening BAU monitoring and reference data management operations.

Location: London, UK

Company

hirify.global is a global insurance, reinsurance, specialist advisory, and investment operations group.

What you will do

• Own day-to-day data quality monitoring across DQPro and Ataccama, keeping controls current, effective, and 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 report data quality status and outcomes.
• Support release and environment checks (pre-prod to prod) and transition new controls into stable BAU monitoring.
• Maintain DQ registers, rule inventories, and evidence packs, producing clear summaries for governance forums.
• Support Reference Data Management (RDM) with ad-hoc queries, guidance, and operational needs; track recurring issues and drive remediation.

Requirements

• Strong SQL fundamentals: able to read, test, and make minor adjustments to queries.
• Proven capability in data validation and reconciliation with strong attention to detail.
• Confidence working with data quality controls, including thresholds, exceptions, and outcomes.
• Clear written communication to produce concise, structured documentation.
• Execution-focused approach with comfort in repeatable operational tasks.
• Exposure to DQPro, Ataccama, or similar data quality tools.

Nice to have

• Knowledge of insurance data and data governance concepts (ownership, SLA, severity, escalation).
• Experience with Power BI and/or Tableau for dashboards and data visualization.
• Basic familiarity with Databricks and/or cloud data platforms.

Culture & Benefits

• Hybrid working pattern (UK).
• Up to 16% company pension scheme.
• Private medical and dental cover, plus additional benefits (including emergency care and a Menopause plan).
• Income protection, life assurance, electric car scheme, and travel insurance.
• 25 days paid holiday plus Bank Holidays, with option to buy/sell extra leave.
• Opportunities to learn new skills and develop your career.

Hiring process

• Submit a short application via “Apply Now”.
• Interviews and evaluation of fit for data quality governance and operational execution.