About the position

Chipotle is seeking a highly analytical, intellectually curious, and commercially minded Senior Analyst to turn customer data into actionable insights and meaningful business decisions. The role sits at the intersection of customer intelligence, analytics, and business strategy. The analyst investigates customer behavior, identifies opportunities for incremental growth, and develops evidence-based recommendations that influence decisions across Marketing, Loyalty, Digital, and the broader organization. The successful candidate will structure ambiguous business questions into analytical approaches, uncover insights, quantify commercial opportunities, and communicate recommendations in compelling ways. A defining responsibility is developing executive-ready business cases and case studies connecting customer insights to measurable growth opportunities. The position requires technical capabilities, rigorous analytical thinking, business acumen, and strong storytelling skills. This position is based in Chipotle’s Newport Beach, California office four days per week, with work from home on Friday. Remote work is not available.

Responsibilities

• Investigate customer trends, behavioral shifts, unmet needs, and untapped opportunities to increase engagement, frequency, retention, and customer lifetime value.
• Translate ambiguous business questions into structured hypotheses, analytical approaches, and actionable recommendations.
• Analyze large-scale customer, transaction, loyalty, and digital behavioral data using SQL, Python, and statistical techniques.
• Size customer opportunities and evaluate potential financial outcomes, including addressable populations, behavioral assumptions, incrementality, and commercial tradeoffs.
• Develop executive-ready business cases, case studies, and presentations that translate analytical findings into insights, strategic implications, and recommendations.
• Partner with cross-functional teams to design controlled experiments, establish success metrics, measure incremental impact, and apply learnings to improve customer strategies.
• Collaborate with Marketing, Loyalty, Digital, Data Science, and other stakeholders to challenge assumptions, evaluate opportunities, and inform strategic priorities.
• Document and synthesize findings, experiments, and customer insights to create reusable knowledge for future business decisions.

Requirements

• 3–5 years of experience in customer analytics, growth analytics, marketing analytics, business strategy, or analytical consulting.
• Advanced SQL proficiency and experience working with large-scale cloud data platforms.
• Strong analytical and statistical skills, including hypothesis testing, experimental design, cohort analysis, and measurement of incremental impact.
• Working proficiency in Python or comparable analytical programming tools.
• Exceptional data storytelling and presentation skills, including the ability to translate complex analyses into compelling, executive-ready business narratives.
• Strong business acumen and the ability to connect customer behavior to revenue, retention, profitability, and growth opportunities.
• Ability to independently structure ambiguous problems, challenge assumptions, and develop actionable recommendations.
• Excellent communication and cross-functional collaboration skills, with the ability to influence stakeholders through evidence and clear reasoning.

Nice-to-haves

• Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Computer Science, Business Analytics, or a related quantitative discipline.
• Experience with Snowflake.
• Experience with consumer transaction, CRM, loyalty, or digital behavioral data.
• Familiarity with experimentation platforms, customer data platforms, or audience activation technologies.

Benefits

• Annual cash bonuses and equity awards based on performance and other factors.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• 401(k).
• Sick leave.
• Vacation time.