Senior Data Analyst

Jobtailor; New Jersey; On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking a data governance analyst to support the Collibra framework and data quality controls across the fraud data ecosystem. The role involves managing metadata, definitions, data lineage, and ownership documentation for fraud data sources.

Ideal candidates have 3+ years in data analysis, SQL, and data governance, with experience in data validation and familiarity with Collibra, Kafka, and Tableau. Collaboration across teams and strong documentation skills are essential.

Qualifications

• 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

Responsibilities

• 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.

Skills

SQL

Data governance

Data analysis

Data profiling

Documentation

Collaboration

Education

University degree preferred

Tools

Collibra

Kafka

Tableau

Job description

• 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

Requirements

• 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

Core Competencies

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.