Senior Data Analyst

• Support the Collibra data governance framework and data quality controls for the fraud data ecosystem

• Manage metadata, business definitions, data lineage, and ownership documentation across fraud data sources

• Identify data quality gaps, governance risks, and control issues; recommend remediation and process improvements

• Review UAT test scenarios, validate Kafka topics, and confirm accurate parsing to ESP before Go/No-Go approval

• Perform post-production validation, live data monitoring, and integration checks

• Analyze data defects and perform root cause analysis

• Partner with technology and business teams on issue resolution

• Maintain governance documentation, DQ rules, control evidence, metadata records, and issue management reporting

• Collaborate with Project Execution, Governance, Technology, and BAU teams to embed data standards and controls

• 3+ years of data analysis and data profiling
• 3+ years of hands-on SQL experience
• Experience in data governance
• Experience with data validation
• Experience working with Collibra, Kafka, and Tableau preferred
• Experience working with AI/ML preferred
• University degree preferred
• Collaboration and communication across teams and lines of business
• Good documentation skills
• Sedentary work physical requirements

Demonstrates expertise in data governance, data quality controls, and data analysis, with a strong focus on SQL, Collibra, and Kafka. Proven ability to collaborate across teams to enhance data standards and resolve issues effectively.