Data Analyst IV

** Job#: 3013550
***
* Job Description:

** Role Overview Our Global Data & Analytics (D&A) team is the hub for harvesting, analyzing, and activating customer data to drive strategic business decisions and actions across multiple brands. By collaborating with partners throughout the organization, associates on our D&A team provide recommendations that allow teams to push boundaries and stay at the forefront of trends.

We are seeking an Associate Data Analyst to join our Data Strategy team (a subset of the D&A team). This is an exciting opportunity for someone early in their data analytics career who’s eager to learn how data powers customer marketing, personalization, journeys, and insights across a global  this role, you will support the operation and optimization of our Customer Data Platform (Tealium) and a variety of related marketing data systems including Cordial, Algonomy, Merkle, Loyalty+, and more.

You will help ensure data accuracy, proper audience configuration, and overall platform reliability—enabling the business to deliver personalized and engaging customer experiences  will partner closely with Marketing, Technology, and Analytics teams to troubleshoot issues, validate data flows, and build foundational analytics and Mar Tech skills in a collaborative, fast-paced environment.

What You’ll Be Doing Assist with daily operations of the CDP including data validation, monitoring, audience setup, API configuration, and more.

Build and test customer audiences utilizing the CDP and/or CRM for marketing campaigns and personalization programs.

Support data quality checks and troubleshooting across key systems (CDP, CRM, Snowflake, etc.).Document new data feeds, fields, dictionaries, and integrations to maintain clear platform knowledge.

Write and optimize SQL queries to validate customer data and support analyses.

Partner with senior analysts and engineers to support requirements gathering and user acceptance testing for platform enhancements.

Monitor audience and data pipeline performance, escalating anomalies or discrepancies.

Participate in team meetings, sprint stand-ups, and roadmap discussions to contribute to how analytics supports broader marketing goals.

What You’ll Bring Bachelor’s degree in Data Analytics, Marketing, Computer Science, or a related field and equivalent work experience (1–3 years working with marketing or customer data in CDPs, CRM systems, or other digital marketing technologies).Knowledge of SQL for querying and validating data.

Familiarity with how data moves between systems (e.g., through APIs, file transfers, or ETL processes).Curiosity and willingness to learn new data tools and technologies (such as Tealium, Snowflake, Algonomy, Cordial, Loyalty+, or other marketing data platforms).Strong attention to detail, with care for data quality and documentation accuracy.

Excellent organizational and problem-solving skills, with a proactive attitude even in ambiguous circumstances.

A growth mindset and excitement to develop deeper technical and analytical skills.

Clear and concise communication skills, with the ability to translate technical concepts for non-technical partners.

Strong cross-functional collaboration, especially with Marketing, Technology, and Analytics teams.

Analytical thinker with strong problem-solving abilities.

Why You’ll Love Working Here Gain hands-on experience with enterprise-level marketing technology and customer data  mentored by experienced data professionals and have clear opportunities for growth.

Play a meaningful role in improving how the company connects with millions of customers worldwide.

Join a collaborative, innovative team that values curiosity, learning, and impact.

What Makes You Stand Out Strong expertise in CDPs, including understanding of data ingestion, identity resolution, audience creation, and activation workflows.

Foundational understanding of digital and paid media channels, including basic knowledge of ad performance analytics.

Hands-on SQL experience working with customer, campaign, or audience data within Mar Tech environments.

Understanding of CRM capabilities and how they support customer engagement and personalization strategies.

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