Lead Data Analyst

TIAA

Lead Data Analyst optimizing IT infrastructure performance for TIAA. Collaborates with business and IT teams to support data quality, governance, and integration initiatives.

Posted 6/25/2026full-timeDallas • New Jersey, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $107,000 - $141,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLSQL

About the role

Key responsibilities & impact

Analyze complex datasets to identify trends, patterns, and insights that support business objectives
Translate business requirements into technical specifications for data solutions
Perform data profiling, Source to Target mapping, and validation to ensure accuracy and consistency
Support the implementation and maintenance of data governance frameworks and standards
Ensure data quality through regular audits, validation processes, and adherence to data management policies
Document data flows, data lineage, and system integrations across upstream and downstream systems
Collaborate with stakeholders to define and maintain data definitions, business rules, and metadata
Help design and develop ETL (Extract, Transform, Load) processes to support data integration initiatives
Work with cloud based data platform and relational databases, SQL queries, and data modeling techniques to support analytical needs
Troubleshoot data-related issues and provide technical support for production systems
Participate in testing activities by supporting QA resources with test case development, execution, and defect tracking
Partner with business stakeholders, IT teams (ETL, QA & Production support)
Communicate findings, insights, and recommendations clearly to both technical and non-technical audiences
Participate in cross-functional project teams to support enterprise and vertical initiatives
Contribute to continuous improvement efforts by identifying opportunities for automation and process optimization

Requirements

What you’ll need

5+ Years Required; 7+ Years Preferred
5 or more years’ of experience in SQL and relational database management systems.
3 or more years’ of experience with data warehouse concepts and data modeling concepts and practices
2 or more years’ of experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)
2 or more years’ of experience in ETL processes and data integration tools
Experience in Microsoft Excel (Advanced formulas, pivot tables, and data manipulation)
Experience in data governance activities (Business Glossary, Data catalogs, source to target mappings) and exposure to Collibra is preferred.
Experience of Reference data management (tools like EDM / DRM preferred).

Benefits

Comp & perks

superior retirement program
highly competitive health, wellness and work life offerings

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata modelingETLdata profilingdata validationdata governancedata qualitydata integrationdata analysisdata manipulation

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingattention to detailcontinuous improvementstakeholder engagementtechnical supportdocumentationtesting