Analytical Engineer

Position: Analytical Engineer (Internship)

Department: Data Science & Analytics

Reporting to: Data Science & Analytics Manager

Location: Hybrid Milano

Hybrid role: Hybrid

Full time / Part time role: Full time (Internship)

**Ready for a challenge?***:
**About this role***:
Join a fast-paced team driving data-driven decisions for Italy’s leading food, grocery and retail delivery platform. This internship is designed for a curious, analytical problem-solver eager to decode complex business challenges, from optimizing delivery logistics to predicting customer behavior. You'll learn to turn raw data into actionable stories and thrive in a collaborative, scientific environment. We invest in your growth, offering opportunities to explore career paths in analytics, data engineering, or leadership.

**These are some of the key ingredients to the role**:

- Work with mentors to sharpen your technical and business skills.
- Champion data quality by auditing pipelines, troubleshooting anomalies, and enforcing governance.
- Document everything to ensure future clarity for the team.
- Design scalable data pipelines using SQL and Python to power real-time analytics.
- Optimize ETL processes and automate workflows for accurate, fast, and actionable data.
- Experiment with ML models, including demand forecasting and customer segmentation.
- Dive into datasets to uncover hidden trends, like regional ordering behaviors.
- Partner with marketing, operations, and finance to translate business questions into analytical experiments.
- Build compelling dashboards using Tableau/Power BI that communicate clearly.

**What will you bring to the table?***:

- Curiosity First: You relentlessly ask “why” and connect data to real-world behavior.
- Technical skills: Good knowledge in SQL (CTEs, window functions, query optimization) and Python (pandas, numpy, sklearn, polars, duckdb) for data wrangling and modeling.
- Basic cloud/data warehouse knowledge (BigQuery, AWS, or similar).
- Problem-Solver: You thrive on open-ended questions and complex challenges.
- Storyteller: You can explain complex models clearly to non-technical stakeholders in Italian-English.
- Recent graduates are welcome; show personal projects, internships, or Kaggle wins.
- Nice-to-Haves: Basic economics/statistics knowledge, exposure to A/B testing, Git, or Spark.
- Passion for food tech or e-commerce (bonus for analyzing or creating delivery apps).

**This is an extracurricular stage, that cover the cost of 600 euro per month + 7 euro of ticket restaurant per day. Length of the stage is of 6 months.**:
**At JET, this is on the menu**:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Solve Real Problems: Your work directly impacts millions of deliveries and customers across Italy. Mentorship: Learn from senior data scientists and engineers. Grow Fast: Potential transition to permanent roles in analytics, ML, or data engineering after 3-6 months.

**Inclusion, Diversity & Belonging***:
**What else are we delivering?***:
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

**How to Apply**: Send your resume and a 1-paragraph summary of a data project (academic, professional, or personal) that made you proud. Explain the problem you tackled, your approach (tools, techniques), and the impact of your work. No generic cover letters—show us your curiosity