Chipotle
Newport Office
Marketing Analytics - Internship
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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