.Company Overview:DiDi Global Inc. is the world's leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services.DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world's transportation, environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future.LI-HybridTeam Overview:You will join the MKTOPS BI team, our team its in charge of giving support to all the operational parts of the business in DiDi, you will be analyzing data and creating new tools to helo the business to sent better incentives for our drivers and passanger you will have access to information world wide. The challenge here its to think about the market balance of our demand and supply at the same time, so you will need to have a lot of techinicals skills and also business skills and knowledge to accomplish every task.Role Responsibilities:Unveiling insights from data, and using them for recommendations and actions that will drive business success. Building and maintaining data products, such as datasets and dashboards, that will help businesses thrive with data-driven decisions. Working with diverse and global teams, coordinating with each other to choose the best path to follow. Collaborating with stakeholders and business leaders to fulfill the strategic roadmap.Role Qualifications:A degree in STEM (science, technology, engineering, and math) disciplines like engineers, economists, actuaries, statisticians, computer scientists, etc. Fluent Spanish and English at a professional level, with people of different areas of expertise. Proficient coding; SQL is a must, but other programming languages like Python, or R are also acceptable. Experience with people from all around the world, in cross-functional and multicultural teams. Data visualization skills in tools like Tableau, PowerBI, Qlik View, Data Studio, or even Excel (not required but valuable). Google Suite tools experience as Sheets, Slides, and Docs (not required but valuable). Knowledge of advanced technical fields like Machine Learning, Data Science, and Data Engineering (not required but valued).EEO Statement:- We create customer value - We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient