MPIM Analytics Intern
Levi Strauss & Co. · Milan
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We're a company of people who forge our own path and leave the world better than we found it. We believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.
About the job
- Being point of contact for analytics and data inquiries
- Creating data pipelines, dashboards and reports for use across Europe’s business
- Cooperating with cross-functional partners to reach resolutions on data topics and build data products
- Performing data wrangling and exploration in support of ad-hoc analysis requests and to feed predictive modelling.
- Providing assistance to the extended team
About you:
- You have excellent analytical and communication/presentation skills
- You hold a Degree in Statistics / Mathematics / Engineering / Operational research / Econometrics/Economics and Business Management
- You have knowledge in SQL and/or R/Python
- Self-motivated, problem solver, team player
- Organized with meticulous attention to detail, ability to prioritize work to meet deadlines
- You are flexible and able to perform in a fast-paced environment
- Comfortable learning new tools. (Dataiku, Tableau, Excel, SAS etc.)
What we offer
- A great opportunity to work for the world’s number one denim brand in our Milan office.
- Valuable learning experience in an international, dynamic and collaborative environment.
- Monthly compensation of €800
- Meal vouchers
This is a hybrid position based in our Milan office. You will be expected to be in the office three days per week, though time in office may vary depending on business needs.
LS&Co. is an affirmative action and equal employment opportunity employer. We welcome and value people from diverse cultures, backgrounds, and experiences to make LS&Co. a collective success.
#LI-Hybrid
LOCATION
Milan, ItalyFULL TIME/PART TIME
Full timeCurrent LS&Co Employees, apply via your Workday account.
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