About the Role

We’re seeking a Data Quality Specialist to take ownership of managing, monitoring, and improving data quality across complex environments. This role ensures critical data is accurate, complete, and compliant, supporting both regulatory obligations and informed business decisions.

Key Responsibilities

• Data Quality Management: Design, implement, and enforce data quality rules and validation frameworks within pipelines.
• Automation & Monitoring: Build automated data quality checks, controls, and dashboards to track critical data elements.
• Issue Resolution: Proactively identify and resolve data quality issues using root cause analysis and problem-solving techniques.
• Collaboration: Work closely with data engineering, BI, and business teams to define requirements and resolve incidents.
• Continuous Improvement: Drive enhancements to processes, tools, and methodologies, embracing new technologies and best practices.
• Data Governance: Maintain governance frameworks to ensure adherence to organizational standards and policies.
• Technical Execution: Use Python, SQL, and Alteryx to deliver scalable automated solutions within data pipelines.

Required Skills & Experience

• Proven experience managing data quality in complex environments.
• Proficiency in Python, SQL, and Alteryx (plus other ETL or data quality tools).
• Strong knowledge of data governance frameworks and policies.
• Excellent collaboration and stakeholder engagement skills.
• Analytical mindset with strong problem-solving ability.
• Experience with automation and AI-driven data quality processes is highly desirable.