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United States

Internship

Remote

$17.64/hr - $22.02/hr

Intern

Deckers Brands is a company committed to delivering exceptional business results while valuing diversity and inclusion. The Loyalty Analytics Intern will analyze loyalty data to provide insights and recommendations that enhance consumer engagement and loyalty strategies across Deckers Brands.

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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

Qualification

Required

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

Preferred

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
Exposure to loyalty programs, customer analytics, or marketing analytics
Familiarity with customer segmentation approaches
Interest in applying AI to assist with data analysis and modeling