Customer Insights Analyst — Apple Retail Online

Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do from amazing technology to industry-leading environmental efforts. At Apple inclusion is a shared responsibility and we work together to foster a culture where everyone belongs and is inspired to do their best on the Apple Store Online team we are responsible for Apples largest store. Our main goal is to deliver a magical personal digital experience where customers can shop buy and learn everything Apple wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store it takes extraordinary people and we are looking for someone to help us do extraordinary 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 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 CLM team relies on triangulating signals from multiple data sources campaign performance customer behavior and experimentation results to understand whats 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 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.

Support Customer Insights u0026 CLM Analysis Assist in leading day-to-day customer insights and CLM performance analysis for marketing stakeholders surfacing trends in customer journey and lifecycle to Test Design u0026 Measurement Support the design and measurement of A/B tests across audience segmentation creative and timing helping define hypotheses success metrics and Cross-Functional Data Pull together data from multiple sources and teams (marketing analytics engineering) into unified digestible insights for the CLM AI-Assisted Analytics Tools Develop and iterate on applications and AI-assisted solutions (dashboards automated summaries lightweight models) that improve visibility into CLM performance and customer journey Cross-Functionally Work closely with Marketing Decision Automation and Product Marketing partners to understand business questions and translate them into analysis Insights Clearly Present findings and recommendations in a clear concise format that non-technical stakeholders can act on.

Years of Experience 4 years in marketing analytics customer insights CLM or a related data/analytics role with demonstrated exposure to campaign or lifecycle marketing u0026 Python Proficiency Working proficiency in SQL and Python for querying cleaning and analyzing large datasets with the ability to translate business questions into repeatable analytical in applying ML techniques to marketing and customer datasets to derive deeper insights around customer segmentation churn and retention predictionnData Visualization u0026 Tooling Practical experience building dashboards and reports in Tableau (or similar BI tools) and familiarity with cloud data warehouse environments such as Fundamentals Foundational understanding of A/B testing and statistical concepts (sample size significance variance) with hands-on experience supporting or analyzing test Problem-Solving Ability to synthesize data from multiple sources to identify patterns evaluate marketing performance and surface actionable Skills Strong written and verbal communication skills with the ability to translate technical findings into clear business-relevant insights for cross-functional Mindset Comfort working cross-functionally with Marketing Analytics and Engineering teams in a fast-paced evolving environment with curiosity toward AI-assisted analytics tools and methods.

Snowflake u0026 Tableau Experience Hands-on exposure to Snowflake for querying and organizing large marketing/customer datasets and to Tableau for building dashboards that make CLM performance trends easy to Analytics Exposure 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 or Customer Lifecycle Knowledge Prior experience related to customer lifecycle marketing customer segmentation techniques and journey analysis providing helpful context for CLM-specific Testing for Marketing Applications Exposure to designing or analyzing experiments specifically around marketing levers such as audience targeting creative variation or send timing beyond general experimentation Academic Background 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 -Functional Collaboration Experience Prior experience working with or presenting to non-technical stakeholders translating data findings into clear actionable recommendations.