The Data Quality Analyst will monitor data quality, identify and resolve issues, improve processes, and ensure compliance with standards, particularly in financial contexts.
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).
We work with Textio to make our job design and hiring inclusive.
PermanentTop Skills
AWS
Azure
ETL
GCP
Power BI
Snowflake
SQL
Tableau
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