Data Engineering Analyst

Skills this role screens for

About the role

TIAA is hiring for the role of Data Engineering Analyst!

The work

Responsibilities of the Candidate

• Build, maintain, and optimize data pipelines that support marketing analytics, campaign performance measurement, brand tracking, and customer segmentation initiatives.
• Collect, process, and deliver large-scale marketing and customer data to the user community, ensuring accuracy, completeness, and timeliness.
• Resolve systemic data errors, monitor the marketing data ecosystem, and develop strategies to scale data solutions.
• Implement and monitor automated data quality controls to maintain data integrity across marketing data platforms.
• Identify syntax, structure, and semantics for each marketing data source and document findings for stakeholder use.
• Manage cyclical production releases by maintaining accurate and up-to-date documentation and communicating known data issues to marketing and analytics stakeholders.
• Support data governance and stewardship initiatives in alignment with TIAA's enterprise data strategy.
• Collaborate with marketing technology, analytics, and business teams to understand data requirements and translate them into scalable data engineering solutions.

Who they want

Requirements

• University (Degree) Preferred
• Work Experience: No Experience Required
• Strong hands-on experience with Python, and SQL for data extraction, transformation, and validation.
• Experience working with Snowflake or similar cloud-based data platforms like AWS etc.
• Understanding of data quality concepts, API/File Transfer based data pipelines, and ETL/ELT processes.
• Familiarity with marketing data platforms like Google Analytics, SFMC, or CRM data is a plus.
• Strong analytical and problem-solving skills with keen attention to detail.
• Good communication skills to interact with both technical and business stakeholders across marketing and technology functions.