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Chipotle Mexican Grill hiring Marketing Analytics - Internship, Newport Beach, California

Marketing Analytics - Internship

Chipotle Mexican Grill

Newport Beach, California
Posted yesterday

Qualifications

Education

Pursuing a BA/BS in Economics, Business, Finance, Statistics, Data Science, or related field.

Responsibilities

Primary Duties

  • Build a 'macro pulse' for the business: track key indicators, summarize weekly/monthly changes, and explain likely business impacts.
  • Integrate external time series (e.g., FRED/BLS/BEA/Census) with internal customer and transaction data.
  • Run customer analytics: cohort analysis, segmentation, retention/churn & CLV.
  • Develop dashboards and automated reports for stakeholders in Finance and Marketing.
  • Create clean, reproducible analysis pipelines (queries/notebooks) with clear documentation.
  • Support forecasting: build and compare baseline vs. macro-adjusted scenarios.
  • Present findings with clear narratives, visuals, and recommendations.

Required Skills

Technical Skills

ExcelGoogle SheetsSQLPythonRdata visualizationTableauPower BILooker

Soft Skills

clear written and verbal communicationability to explain methods, assumptions, and trade-offs

Full Job Description

Marketing Analytics - Internship

Cultivate a better world. Food served fast does not have to be a typical fast-food experience. Chipotle has always done things differently, both in and out of our restaurants. We are changing the face of fast food, starting conversations, and directly supporting efforts to shift the future of farming and food. We hope you will join us as we continue to learn, evolve, and shape what comes next on our mission to make better food accessible to everyone.

The opportunity: Self-starting individual that is passionate, collaborative, and an avid learner. Assists and partners with the Marketing Analytics team on business analysis and customer intelligence.

What you'll do:
  • Build a "macro pulse" for the business: track key indicators, summarize weekly/monthly changes, and explain likely business impacts.
  • Integrate external time series (e.g., FRED/BLS/BEA/Census) with internal customer and transaction data.
  • Run customer analytics: cohort analysis, segmentation, retention/churn & CLV.
  • Develop dashboards and automated reports for stakeholders in Finance and Marketing.
  • Create clean, reproducible analysis pipelines (queries/notebooks) with clear documentation.
  • Support forecasting: build and compare baseline vs. macro-adjusted scenarios.
  • Present findings with clear narratives, visuals, and recommendations.

What you will learn:
  • How macro shifts translate into demand patterns, retention, and unit economics.
  • Practical forecasting, experimentation, and segmentation techniques in a business setting.
  • Executive-ready storytelling: turning analysis into decisions and action.
  • Best practices in data hygiene, reproducibility, and stakeholder communication.

What you'll bring to the table:
Qualifications (must-have):
  • Pursuing a BA/BS in Economics, Business, Finance, Statistics, Data Science, or related field.
  • Solid foundation in statistics/econometrics: regression, hypothesis testing, time series basics, forecasting concepts.
  • Strong analytical toolkit: Excel/Google Sheets (pivot tables, lookups), plus SQL or willingness to learn quickly.
  • Experience with Python or R for data analysis.
  • Data visualization skills (Tableau/Power BI/Looker or Python/R plotting libraries).
  • Clear written and verbal communication; ability to explain methods, assumptions, and trade-offs.

Nice to have:
  • Familiarity with propensity modeling.
  • Experience with customer analytics concepts: cohorts, CLV, churn, segmentation, A/B testing.
  • Knowledge of macro indicators and sources (FRED, BLS, BEA) and how they're constructed.

Tools you might use:
  • SQL (Snowflake/BigQuery/Redshift), Python or R, Excel/Sheets
  • Tableau/Power BI/Looker, Git, Jupyter/Quarto/RMarkdown

Pay transparency: Pay rate is $30 per hour, depending on skill level, experience, and/or education. Compensation offered is also subject to local wage and hour laws.

Who we are: Chipotle Mexican Grill, Inc. (NYSE: CMG) is cultivating a better world by serving responsibly sourced, classically cooked, real food with wholesome ingredients without artificial colors, flavors or preservatives. Chipotle has restaurants in the United States, Canada, the United Kingdom, France and Germany and is the only restaurant company of its size that owns and operates all its restaurants in North America and Europe. With employees passionate about providing a great guest experience, Chipotle is a longtime leader and innovator in the food industry. Chipotle is committed to making its food more accessible to everyone while continuing to be a brand with a demonstrated purpose as it leads the way in digital, technology and sustainable business practices.

Chipotle Mexican Grill is an equal opportunity employer that values diversity at all levels. As a people-first company rooted in values, our purpose extends beyond serving nutritious food using real ingredients. It means hiring world-class individuals and fostering a culture that champions diversity, ensures equity, and celebrates inclusion. All qualified applicants, regardless of personal characteristics, are encouraged to apply. Qualified applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. Please contact ADAaccommodations@chipotle.com if you need an accommodation due to a disability to complete an application, job interview, and/or to otherwise participate in the hiring process. This email does not respond to non-accommodations related requests.

How to Apply

Estimated Salary

$27
/ hour

Chipotle Mexican Grill pays $27 for Cybersecurity Analyst in Newport Beach, California, with most salaries ranging from $18 to $42. Pay can vary based on role, experience, and local cost of living.

Median
$27
Low
$18
High
$42

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Figures represent approximate ranges and may vary based on experience, location, and other factors. For the most accurate information, please consult the employer directly. Contact us to suggest updates to this information.