Loyalty Analytics Intern - Global

Deckers•Goleta, CA

6d•Remote

About The Position

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us. The Role As a Loyalty Analytics Intern, you’ll unlock new insights, frameworks, and decision-making capabilities from loyalty data for the Deckers Global Consumer Experience & Engagement team. You’ll apply strong quantitative and analytical skills to explore loyalty data, build models, develop measurement approaches, and create segmentation frameworks that inform how the business designs rewards, challenges, and Member experiences. This role offers creative freedom to surface new opportunities, hypotheses, and recommendations that can be scaled across Deckers brands. We celebrate diversity--of your background, your experiences and your unique identity. We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are. We believe that when we bring our different perspectives to work, we are truly Better Together.

Requirements

Currently pursuing an undergraduate or graduate degree in a quantitative field such as Mathematics, Economics, Statistics, Data Science, Engineering, or a related discipline
Academic, internship, or project experience applying quantitative analysis, statistical modeling, or data science methods
Strong analytical and problem-solving skills, with the ability to work from ambiguity toward structured insights
Ability to synthesize findings into clear, concise written and verbal communication
Comfortable partnering with others to request, shape, interpret, and articulate large and imperfect datasets
Experience with application of modeling frameworks and familiarity with experimentation concepts
Experience working with data using tools such as Python, R, Excel, or equivalent analytical platforms (preferred)
Exposure to loyalty programs, customer analytics, or marketing analytics (preferred)
Familiarity with customer segmentation approaches (preferred)
Interest in applying AI to assist with data analysis and modeling (preferred)

Responsibilities

Analyze raw and curated loyalty datasets to identify patterns, drivers, and opportunities across engagement, rewards, and Member behavior
Synthesize insights and articulate their impact for downstream decisions
Translate analytical findings into clear, business-ready narratives and recommendations
Develop measurement approaches for key loyalty questions, including incrementality and behavior change over time
Build or refine analytical models using available data and document assumptions, limitations, and recommended use cases
Support the design or refinement of a Loyalty cohort index and propose loyalty-driven segments with clear definitions
Identify hypotheses for segment activation strategy and segment migration causes
Translate business questions into clear data requests and briefs for partner teams
Produce documentation, readouts, and summaries to enable reuse of frameworks and insights
Share progress and learnings with stakeholders regularly