This listing was posted on The Resumator.
Data Scientist - Product Analyst
Location:
Milan
Description:
Hey, you! Every month we have millions of sessions and hundreds of thousands of users on the platform. Our apps have more than a million downloads. Customers create thousands of orders every day in multiple countries. But we want more and we need your help to achieve it.👍 What does a customer usually buy after adding cart eggs or tomatoes? Which is the main cause of dropout of our customers during their navigation? Which are the main optimizations of our shopper operations we could work on? To answer all these questions (and a lot of other ones) to improve our product and solve the problems of our customers, shoppers and partners we’re looking for a Product Analyst to join our Data Science team. This is a remote job opportunity for candidates based in Italy or in the Schengen area. Who we are 🌍🛒 Everli is Europe’s leading marketplace for online grocery shopping and one of its fastest growing scale-ups (part of the annual Financial Times ranking for four years in a row).We are on a mission to deliver customers peace of mind with a trouble-free grocery experience they love and trust. We achieve our growth through a culture that is collaborative , transparent , data-driven and focused on our mission. Our rapidly growing and diverse international team (20 nationalities and counting) has offices located in Italy (with headquarters in Milan & Verona). What you will do You will join a distributed team of data scientists with decision-making autonomy: you will be responsible for your work. You will explore our data in order to find and test new product ideas: from customers’ and shoppers’ behaviors to logistic optimization and many others. You will support the Product team and stakeholders in deep diving their hypothesis and pursuing a data driven approach in order to prioritize activities and features. What we offer We offer a full-time permanent contract . The gross annual salary (RAL) is in the 32.000 - 42.000 EUR range . In addition to that, we have plenty of cool benefits: Welfare Budget . You can use this credit for a wide selection of services (education, public transport, vacations and entertainment, wellness, culture etc). Home Workstation Budget . You can purchase items you will use to build your own home workstation (such as an ergonomic chair, desk PC screen, desk footrest, desk lamp, mouse, mousepad, keyboard, professional headphones PC adapter). Mental Health Support . You can start a psychotherapy path with Unobravo, with Everli fully covering the first five sessions of therapy. Discount on your grocery with Everli.com . Anytime you use our service to get your grocery, you can apply a reserved discount on your basket. What you bring Love for data and algorithms: you are proud of your work. 2+ years of experience with data analysis and exploration. Experience with basic statistical techniques (i.e. clustering, hypothesis testing, …) and desire to explore and learn new ones. Knowledge of technologies in our stack: Python, AWS, MySQL. Experience with BI tools like Tableau and Quicksight is a nice to have. Good understanding of business problems and ability to translate them into data analysis. Great communication and synthesis skills working closely with product managers, other teams and both internal and external stakeholders. Analytical, detail-focused mindset, but always looking at the big picture. Team player: you work well with other people within and outside the tech team. Positive & chill vibes. Meme skills is a nice to have 😁 Being able to legally work in Europe: you are the holder of an EU Passport or you are the holder of an EU residency permit or you are the holder of a Schengen Work Visa. Everli is proud to be an equal opportunity employer. We foster an inclusive and diverse workplace. No matter who you are, what you look like or how many years ago you started your career: you will always be welcome in our team. Just like in a grocery store, diversity is richness! Powered by JazzHR
Company:
Everli
Posted:
April 18 on The Resumator
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