Senior Business Intelligence Analyst

Senior Business Intelligence Analyst Didi Chuxing • Monterrey, Nuevo León, México Company Overview DiDi Global Inc. is the world’s leading mobility technology platform. It offers a wide range of app‑based services across 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 and is committed to solving transportation, environmental and employment challenges through AI and localized smart transportation innovations. The company aims to create better life experiences and greater social value by building a safe, inclusive and sustainable transportation ecosystem for the cities of the future. Responsibilities Insight Generation & Strategy: Conduct deep exploratory and descriptive analyses to uncover patterns, trends and root causes; validate hypotheses and deliver actionable recommendations that align directly with OKRs and operations strategies. Advanced Modeling, Forecasting & Segmentation: Design, develop and refine predictive models (Logistic Regression, Decision Trees, Random Forest, XGBoost), robust forecasting solutions (ARIMA, SARIMA, Prophet, LSTM) and cluster analyses (k‑means, PCA) to anticipate business trends and user behavior. Experimental Design: Design and analyze A/B/n tests and hypothesis tests to measure the true impact of product and operational changes. Data Storytelling & Visualization: Translate complex model outputs and analytical findings into clear, compelling narratives for stakeholders using BI tools such as Tableau or Power BI. Operational Excellence: Champion a culture of documentation and reproducibility using Git and actively participate in Agile ceremonies. Cross‑functional Collaboration: Partner with teams to operationalize insights and contribute to strategic growth across the business. Qualifications Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Data Science or a related quantitative field. 3+ years of experience in data science and data analysis roles. Advanced English proficiency (written and spoken). Advanced SQL proficiency (complex querying, optimization, data manipulation). Intermediate proficiency in Python or R for statistical modeling and data processing. Hands‑on experience with BI tools such as Tableau, Power BI or similar. Ability to manage code and documentation using Git. Solid theoretical and practical knowledge of predictive modeling, regression analysis and statistical testing. Strong analytical mindset and ability to connect data‑management decisions to tangible business outcomes. Excellent stakeholder management and storytelling skills; ability to bridge the gap between technical and non‑technical audiences. Proactive approach to learning, continuous improvement and optimizing how data is managed, shared and trusted. Comfort navigating fast‑paced, evolving priorities in a global, cross‑functional environment. Why Work Here We create user value and always innovate new experiences that are safe, pleasant and efficient. We are data‑driven and make informed decisions to navigate the business landscape strategically. We value collaboration, integrity, growth and building inclusive and diverse teams. Equal Opportunity Employer DiDi is an Equal Opportunity Employer. Employment and advancement decisions are made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion or other status protected by applicable laws wherever we operate. #J-18808-Ljbffr