CLM Analyst — Apple Retail Online

Apple • Cupertino, CA

1d

About The Position

The CLM Analyst supports Customer Insights and Lifecycle Marketing (CLM) analysis for the marketing organization, helping translate customer journey and campaign performance data into insights that inform CLM strategy. This role partners closely with Marketing, Decision Automation, and Database Marketing teams to build AI-assisted tools and rigorous test designs that improve targeting, creative, and timing decisions across the customer lifecycle.

The Retail Online Analytics team is responsible for providing insights, analytical solutions, and intelligent systems to Commercial Management, Commercial Marketing, Digital Merchandising, Online Product Management, Retail Contact Center, as well as Finance and other partner teams. We are looking for a motivated, detail-oriented analyst to support Customer Insights and CLM Analysis across the marketing organization. This person will work at the intersection of customer journey analytics, lifecycle marketing performance, and applied AI — helping the team move from raw data to clear, actionable recommendations. The CLM team relies on triangulating signals from multiple data sources — campaign performance, customer behavior, and experimentation results — to understand what’s driving (or holding back) customer engagement and lifetime value. This role will help build that end-to-end view, from data pull through to insight, and will increasingly take ownership of specific CLM analyses and reporting as they ramp up. A meaningful part of this role involves developing lightweight applications and AI-assisted workflows (e.g., LLM-powered summarization, automated reporting, anomaly detection) that make CLM insights faster to produce and easier for stakeholders to consume. The analyst will also support test design and measurement for A/B tests spanning audience segmentation, creative variants, and send/display timing — helping the team validate what actually moves performance rather than relying on intuition.

Requirements

• 2-4 years in marketing analytics, customer insights, CLM, or a related data/analytics role, with demonstrated exposure to campaign or lifecycle marketing data.
• Working proficiency in SQL and Python for querying, cleaning, and analyzing large datasets.
• Ability to translate business questions into repeatable analytical workflows.
• Proficiency in applying ML techniques to marketing and customer datasets to derive deeper insights around customer segmentation, churn and retention prediction.
• Practical experience building dashboards and reports in Tableau (or similar BI tools).
• Familiarity with cloud data warehouse environments such as Snowflake.
• Foundational understanding of A/B testing and statistical concepts (sample size, significance, variance).
• Hands-on experience supporting or analyzing test results.
• Ability to synthesize data from multiple sources to identify patterns, evaluate marketing performance, and surface actionable recommendations.
• Strong written and verbal communication skills, with the ability to translate technical findings into clear, business-relevant insights for cross-functional partners.
• Comfort working cross-functionally with Marketing, Analytics, and Engineering teams in a fast-paced, evolving environment.
• Curiosity toward AI-assisted analytics tools and methods.

Nice To Haves

• Hands-on exposure to Snowflake for querying and organizing large marketing/customer datasets.
• Hands-on exposure to Tableau for building dashboards that make CLM performance trends easy to interpret.
• Familiarity with using AI or LLM-based tools to accelerate query writing, data exploration, or reporting workflows, with an interest in expanding this into more advanced tool-building.
• Prior experience related to customer lifecycle marketing, customer segmentation techniques and journey analysis.
• Exposure to designing or analyzing experiments specifically around marketing levers such as audience targeting, creative variation, or send timing, beyond general experimentation fundamentals.
• A degree or substantial coursework in a quantitative field such as Statistics, Economics, Data Science, or a related discipline, with demonstrated application to real-world analysis.
• Prior experience working with or presenting to non-technical stakeholders, translating data findings into clear, actionable recommendations.

Responsibilities

• Support Customer Insights and CLM Analysis across the marketing organization.
• Work at the intersection of customer journey analytics, lifecycle marketing performance, and applied AI.
• Help the team move from raw data to clear, actionable recommendations.
• Triangulate signals from multiple data sources (campaign performance, customer behavior, experimentation results) to understand drivers of customer engagement and lifetime value.
• Build an end-to-end view from data pull through to insight.
• Take ownership of specific CLM analyses and reporting.
• Develop lightweight applications and AI-assisted workflows (e.g., LLM-powered summarization, automated reporting, anomaly detection).
• Support test design and measurement for A/B tests spanning audience segmentation, creative variants, and send/display timing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed