Senior Data Analyst, Quick Commerce
hace 3 días
Barcelona
As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero Job Description We are on the lookout for a Senior Data Analyst to join our ___ focused on our non-integrated and long-tail partners. Contribute to the creation of our next generation platform, that works on expanding our amazing delivery to new products such as groceries, pharmaceuticals, flowers and more. Work on warehouse management systems, our shopper app and our customer facing systems. If you're a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the amazing city of Barcelona! • You will work on our next-generation platform to not only provide groceries for our hungry customers but also other daily urgent needs like drinks, fruits, snacks but also batteries., • You will collaborate closely with product managers, engineering leaders, and leadership across Q-Commerce., • Troubleshoot issues, Identify complex problems and analyze potential solutions including workarounds as well as provide timely fixes., • Identify opportunities for our non-integrated vendors based on the available data. Raise missing data points that could benefit our partners., • Generate an automatic framework for providing insights, • You will work in a goal-driven environment. Qualifications • Relevant work experience in Analytics, Business Intelligence or comparable functions within organizations focused on ecommerce., • Proficiency in SQL and experience with at least one data visualization tool (e.g., Looker, Tableau)., • Familiarity with mathematical and statistical data analysis techniques (such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing and econometric models), • Experience with tools such as Pandas, Numpy y/o Scikit Learn, • Deep understanding of ecommerce data and ecosystem., • Python or any other backend language knowledge., • Define some basic classification models based on the vendors data analysis, • Understanding of data pipelines, • You believe in cross-functional teams and know that responsibility does not end with release of a feature., • Fluent English communication skills. Additional Information Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We believe driven talent deserves: • 🍔 Monthly Glovo credits to satisfy your cravings!, • 🏊 Discounted gym memberships to keep you energized., • 🏖️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!, • 👪 Enhanced parental leave, and office-based nursery., • 🧠 Online therapy and wellbeing benefits to ensure your mental well-being. Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our ___ and check out our ___ and ___! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Albert T.Activo hace 3 años