This role will be involved day to day in all key aspects of DiDi ANZ operations:
* Lead all key data and analytical streams for ANZ operations, and implement day to day data analytics from design to analysis and insights.
* Monitor business performance and generate actionable insights to support the team in performing better.
* Stay hands-on and drive excellence through problem solving and advisory.
* Deliver strategic analysis – including in-depth ROI analysis, driver income analysis, pricing and city segmentation analysis, and user cohort analysis.
The Successful Applicant Will Have:
* 1-3 years of business experience, ideally in Business Analytics / Data Scientist roles in technology firms, consulting firms, or startups.
* Exceptional problem solving, analytical, written, and communication skills.
* Proactive, hands-on, and entrepreneurial attitude.
* Ability to work with and influence multiple stakeholders indirectly.
* Fluency in English (oral and written) is mandatory; the position requires daily interaction with international stakeholders.
* Advanced knowledge in MS Excel and SQL is a must; Python is preferred, but willingness to learn is essential.
* Bachelor / Master degree in Mathematical Science, Computer Science, or a related field.
* Relevant experience in a fast-paced business environment is a plus.
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Information Technology, Analyst, and Engineering
Industry: Internet Marketplace Platforms, Data Infrastructure and Analytics, and IT Services and IT Consulting
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