Senior Data Analyst

TIAA

Senior Data Analyst strengthening fraud data governance, quality, and metadata at TIAA. Validating Kafka data flows and managing Collibra controls for retirement services.

Posted 8/19/2026full-timeDallas • New Jersey, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $81,100 - $108,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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.

Highest-signal resume keywords

Data GovernanceSQLCollibraData ValidationData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ProfilingSQLData GovernanceData ValidationRoot Cause AnalysisMetadata ManagementData Quality ControlsData LineageData Defect Analysis

Soft Skills

CollaborationCommunicationDocumentation Skills

Tools & Technologies

CollibraKafkaTableauAI/ML

Industry Keywords

Data QualityGovernance FrameworkUAT TestingIssue ManagementBusiness Definitions

Tech Stack

Tools & technologies

GoKafkaSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Superior retirement program
Competitive health, wellness, and work life offerings
Comprehensive Total Rewards package
Financial well-being support for associates and loved ones
Learning experiences and development pathways
Future-focused skills and AI tools
Accessibility support for the online application process