Senior Data Analyst at DiDi Global

Monterrey, Nuevo León, Mexico -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Advanced SQL, Data Modeling, Tableau, Power BI, ETL Processes, Airflow, BigQuery, Snowflake, Python, R, Data Governance, Data Stewardship, Project Management, Stakeholder Management, Data Quality Frameworks, Data Visualization

Industry

Software Development

Description

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. For more information, please visit: www.didiglobal.com/news #LI-Hybrid Team Overview As a Senior Data Enablement 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 producers and data consumers, empowering Product, Operations, and Finance teams 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. Role Responsibilities Data Enablement & Management – Design, implement, and maintain scalable data structures, pipelines, and workflows that ensure reliable, timely access to critical datasets across the business. Data Governance & Quality – Develop and enforce governance standards, data dictionaries, and quality controls to guarantee consistency, compliance, and traceability across systems and regions. 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. Dashboard & Reporting Enablement – Empower analysts and business users by developing standardized data sources for dashboards and KPI reporting that rely on governed, validated datasets. Data Stewardship & Compliance – Support compliance initiatives by ensuring adherence to data privacy, security, and regional regulations. Knowledge Sharing & Training – Enable data literacy across the organization through documentation, training, and best-practice sharing, ensuring teams can self-serve responsibly. 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. Stakeholder Management – Act as the primary bridge between BI and cross-functional partners. Build strong relationships with Product, Operations, and Finance stakeholders, ensuring analytical outputs meet their strategic needs. Innovation & Learning – Stay ahead of BI trends and continuously expand your toolkit, from SQL and visualization platforms to advanced analytics techniques. Role Qualifications Education: Bachelor’s degree in Business, Engineering, Mathematics, Statistics, or a related field. Experience: 4+ years in data governance, data management, or analytics enablement, ideally within large-scale, data-centric organizations. Fluent in English, with strong documentation and stakeholder communication skills. Technical Proficiency: Advanced SQL and data modeling. Experience with BI and data visualization tools (Tableau, Power BI, or similar). Strong command of ETL processes and data stack tools (Airflow, BigQuery, Snowflake). Familiarity with Python or R for deeper data manipulation and automation. Data Governance Expertise: Proven experience implementing data quality frameworks, data stewardship models, and governance tools. 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. Analytical Mindset: Ability to connect data management decisions to business outcomes and strategic impact. Leadership Potential: Interest and ability to mentor junior analysts and grow into people management. 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. 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 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. At DiDi, we believe that our differences are our biggest source of strength. That‘s 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. I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for Candidates which is available on https://careers.didiglobal.com/terms

Responsibilities

The role involves designing, implementing, and maintaining scalable data structures and workflows while developing and enforcing data governance standards, quality controls, and data dictionaries across systems. This analyst will also empower users by developing standardized data sources for dashboards and KPI reporting relying on validated datasets.