.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.Team Overview:Are you ready to kick-start your career as a Data Analyst Intern?
Join our dynamic, world-class rockstar team and make a real impact in the fast-growing Dark Kitchens sector in Latin America!
We're seeking ambitious, analytically-minded undergraduates who are passionate about data, strategic thinking, and scaling business operations.Role Responsibilities:As a Data Analyst Intern, you'll play an integral role in supporting our Dark Kitchens' expansion and analytical efforts, where you will:- Collaborate on data-driven projects, transforming raw data into actionable insights, predictions, and recommendations for key stakeholders (in Spanish and/or English); - Engage in strategizing, prioritizing, and streamlining dark kitchen expansion initiatives, ensuring efficient project coordination with stakeholders; - Contribute to the design, development, and optimization of visually-appealing reports, analyses, and dashboards that deliver measurable business value; - Assist in automating and simplifying reports, processes, and data activities to maximize stakeholder engagement and self-service capabilities; Nice to have (Not mandatory):- Familiarity with data science methodologies, such as lifetime value, customer segmentation, churn prediction, and advanced statistical analysisDuring your internship, you'll have the unique opportunity to work closely with Data Science teams, commercial analysts, and business leaders, participating in cross-functional meetings and discussions.Role Qualifications:What are we looking for:- Pursuing an undergraduate degree in a relevant field (e.G