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:We are looking for a data analysis manager for the Business Intelligence team for the Cash Loan LOB in Mexico. This team serves as the data mid-platform for the business, on which you will work closely with the Operation team, Product team, Risk team, Finance team, Data Engineering team, etc. You will be working on various types of data analytics projects in the areas of customer acquisition, customer management, product improvement, customer valuation, financial projection, etcThis role provides data-driven support to the Cash Loan LOB in Mexico.Role Responsibilities:- Help build the robust and efficient data infrastructure based on the understanding to the business, determine the key metrics for analysis and the corresponding dimensions and produce automated dashboards and data analysis reports for tracking the business performance- Figuring out the key problems in the development of the business based on data analysis and provide practical solutions and recommendations for optimizations- Establishing and perform experiment and evaluation mechanism to evaluate the operations strategy and specific activities, and produce comprehensive analysis reportRole Qualifications:- Bachelor degree required, preferably in the areas related with statistics, mathematics, computer science or finance- 5 years or more work experience on data analysis, preferably in the industries related with personal financial services, such as personal loans and credit card- Strong at quantitative analysis skills. Be fluent at multiple data analysis tools and be able to independently perform data query, processing, analysis and visualization- Detail-oriented and highly sensitive to the patterns and trends behind the data. Be good at logical and critical thinking and good at deriving analytical framework for real business problems- Fluent at English. Be able to work efficiently in an English-speaking environmentEEO 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.- We are data-driven - We are strong believers in making informed decisions, that's why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics.- We believe in Win-win Collaboration - Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do.- We believe in integrity - Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other.- We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow.- We believe in Diversity and Inclusion - Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all.**We are committed to building inclusive and diverse teams.**We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that's how we create better products and services, make better decisions and better serve the communities we're a part of.**_
