Analyst Data Engineering

We are seeking a detail-oriented and technically strong Data Engineering Analyst to join TIAAs Marketing & Communications Data Engineering team. This role is responsible for implementing large-scale complex data projects that support marketing analytics campaign measurement brand research and customer insights initiatives. The analyst will work closely with marketing technology analytics and business stakeholders to ensure high-quality data is accessible reliable and actionable. Working under direct supervision this contributes to building and maintaining scalable data pipelines that power TIAAs marketing and communications strategies.


Key Responsibilities and Duties

• 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 TIAAs enterprise data strategy.
• Collaborate with marketing technology analytics and business teams to understand data requirements and translate them into scalable data engineering solutions.

Educational Requirements

• University (Degree) Preferred

Work Experience

• No Experience Required

Career Level
5IC

Key Responsibilities and Duties:

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 TIAAs enterprise data strategy.

Collaborate with marketing technology analytics and business teams to understand data requirements and translate them into scalable data engineering solutions.

Assist in curating clean consistently defined datasets and metadata that can support semantic data layers and responsible AI consumption.

Required Skills

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.

Preferred Skills:

Experience with Python for data automation transformation or validation tasks.

Exposure to marketing analytics platforms or marketing data ecosystems.

Familiarity with data governance tools and practices.

Experience working with large and complex datasets.

Basic familiarity with AI/ML data preparation semantic or logical data layers or retrieval-augmented generation (RAG) concepts is a plus.

Exposure to responsible AI AI governance feature stores vector databases or semantic-layer tooling such as dbt is a good to have.

Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent reduce risk by insourcing key platforms and processes as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization with a focus on technology operations and expanding into the shared services business space.

Working closely with our U.S. colleagues and other partners our goal is to reduce risk improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age race color national origin sex religion veteran status disability sexual orientation gender identity or any other legally protected status.

Our Culture of Impact

At TIAA were on a mission to build on our 100 year legacy of delivering for our clients while evolving to meet tomorrows challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People Be Client Obsessed Lead with Integrity Own It and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveens entrepreneurial spirit where we work hard and work together to create lasting impact. Here every associate can grow through meaningful learning experiences and development pathwaysbecause when our people succeed our impact on clients lives grows stronger.

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