Senior Business Intelligence Analyst

Senior Business Intelligence Analyst Job Locations: MX-MEX-Mexico City | MX-NLE-Monterrey 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. Driven by passion and precision, our team is the engine behind the organization's data‑informed culture. We empower decision‑makers by delivering transformative insights through a methodic Agile process. By combining rigorous descriptive analysis with advanced analytics, we drive impactful change and strategic growth across the business. As a Senior Data Scientist, you will serve as a data expert, bridging the gap between raw data, advanced modeling, and strategic execution to solve complex business challenges. 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) to anticipate business trends and user behaviour and cluster analysis (k‑means, PCA) to segment user bases. 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 (Tableau, Power BI). Operational Excellence: Champion a culture of documentation and reproducibility using Git. Actively participate in Agile ceremonies and collaborate with cross‑functional teams to operationalise insights. 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) is mandatory. Advanced SQL proficiency (complex querying, optimisation, data manipulation). Intermediate proficiency in Python or R for statistical modelling and data processing. Hands‑on experience with BI tools such as Tableau, Power BI, or similar. Ability to manage code and documentation using Git. Advanced Analytics: Solid theoretical and practical knowledge of predictive modelling, regression analysis, and statistical testing. Business Acumen: A strong analytical mindset with the ability to connect data management decisions to tangible business outcomes and strategic impact. Communication: Excellent stakeholder management and storytelling skills; ability to bridge the gap between technical and non‑technical audiences. Research & Growth: A proactive approach to learning (self‑taught skills) and a mindset of continuous improvement, always seeking to optimise how data is managed, shared, and trusted across DiDi. Adaptability: Comfort navigating fast‑paced, evolving priorities in a global, cross‑functional environment. 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. 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 analysing 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. At DiDi, we believe that our differences are our biggest source of strength. That is why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer. Employment and advancement decisions at DiDi are always 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 their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate. 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. #J-18808-Ljbffr