As a Senior Data Analyst at DiDi, you’ll play a critical role in ensuring that data across our vast and complex ecosystem is accurate, accessible, secure, and strategically capitalized. You will bridge the gap between data and operations, empowering the Driver Growth team with trustworthy, well‑governed data that drives confident, data‑informed decisions. This is your opportunity to build and refine the foundation of DiDi’s data‑driven culture, enhancing data quality, governance frameworks, and analytics capabilities across the organization. Responsibilities Data Management – Design, implement, and maintain scalable data structures, pipelines, and workflows that ensure reliable, timely access to critical datasets across the business. Dashboard & Reporting Enablement – Empower analysts and operations by developing standardized data sources for dashboards and KPI reporting that rely on governed, validated datasets. Cross‑Functional Collaboration – Serve as the key connection between BI, Engineering, Product, and Operations to align data definitions, ownership, and usage policies with business priorities. Project Management – Lead analytical projects end‑to‑end, from scoping and planning to execution and delivery. Ensure milestones are met and priorities are aligned across teams. Innovation & Learning – Stay ahead of BI trends and continuously expand your toolkit, from SQL and visualization platforms to advanced analytics techniques. Qualifications Education: Bachelor’s degree in Business, Engineering, Mathematics, Statistics, or a related field. Experience: 4+ years in data management or analytics enablement, ideally within large‑scale, data‑centric organizations. Fluent in English, with strong documentation and stakeholder communication skills. Stakeholder Engagement: Experience collaborating with cross‑functional teams and translating business needs into analytical solutions. Project Management: Skilled in leading multi‑stakeholder data projects end‑to‑end. Technical Proficiency Advanced SQL, Python or R for deeper data manipulation and automation. Strong command of ETL processes and data stack tools (Airflow, BigQuery, Snowflake). Experience with BI and data visualization tools (Tableau, Power BI, or similar). Data Governance Expertise: Proven experience implementing data quality frameworks and governance tools. Curiosity & Growth: A mindset of continuous improvement, always seeking to optimize how data is managed, shared, and trusted across DiDi. Comfort navigating fast‑paced, evolving priorities in a global, cross‑functional environment. We are committed to building inclusive and diverse teams and to providing equal opportunities for all candidates and employees. 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 gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion, or any other status protected by applicable laws wherever we operate. #J-18808-Ljbffr