Data Quality Analyst

What you will be doing

• Data Quality Monitoring:
  • Design, implement, and maintain data profiling, cleaning, and validation processes tailored to financial data sets.
  • Develop automated quality checks and dashboards to continuously monitor data integrity and performance.

• Issue Identification & Resolution:
  • Conduct in-depth root cause analysis to identify data anomalies, inconsistencies, and gaps.
  • Collaborate with IT, data engineering, risk management, and compliance teams to resolve data issues and improve overall data governance.

• Process Improvement:
  • Define and implement data quality standards and best practices in line with regulatory requirements (e.g., GDPR, PCI-DSS).
  • Propose and lead initiatives to optimise data workflows and streamline data management processes.

• Reporting & Communication:
  • Generate comprehensive data quality reports and visualisations to inform senior management and key stakeholders.
  • Translate complex data quality metrics into actionable insights for non-technical teams.

• Data Governance & Compliance:
  • Work alongside data stewards and data owners to ensure adherence to established data policies and procedures.
  • Support audits and compliance checks by providing accurate and well-documented data quality documentation.

Your Skills and Experience

Essential

• Bachelor’s degree in Computer Science, Information Systems, Finance, Data Analytics, or a related field.
• 3+ years of experience in data quality management, data governance, or a data analysis role, preferably within a financial services environment.
• Hands-on experience with Snowflake leveraging its data warehousing capabilities to design, test, and maintain high-quality datasets.
• Strong SQL skills and familiarity with data manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI) and data quality/orchestration software.
• Knowledge of ETL processes and modern data warehousing concepts.
• Exceptional attention to detail with strong analytical and problem-solving abilities.
• Excellent communication and interpersonal skills to liaise effectively with diverse teams.
• Proven ability to work autonomously and as part of a collaborative team.

Desirable

• Experience with cloud-based data platforms (e.g., AWS, Azure, or Google Cloud).
• Prior exposure to data governance frameworks and regulatory requirements in the UK financial sector.
• Relevant certifications in data management or analytics (e.g., CDMP, DAMA).

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