Senior Business Intelligence Specialist - Food
hace 3 días

About DiDi Didi Chuxing ( DiDi ) is the world’s leading mobile transportation platform. The company offers a full range of app-based transportation services for 550 million users across Asia, Latin America and Australia, including Taxi, Express, Premier, Luxe, Bus, Designated Driving, Enterprise Solutions, Bike Sharing, E-bike Sharing, Automobile Solutions and food delivery.

Tens of millions of drivers who find flexible work opportunities on the DiDi platform provide 10 billion passenger trips a year.

DiDi is committed to collaborating with policymakers, the taxi industry, the automobile industry and communities to solve the world’s transportation, environmental and employment challenges with localized smart transportation innovations by leveraging its AI capabilities.

By continuously improving user experience and creating social value, DiDi strives to build a safe, inclusive and sustainable mobile transportation ecosystem for cities of future.

For more information, please visit : About the role : DiDi Food Business Intelligence team is seeking a Senior Data Analyst to support development of KPI dashboard, improve data quality and provide data analysis in Mexican market.

The analyst will work closely with internal teams including Operations, Products, etc. Strong skills required in data fetching, data analysis and communication.

A working knowledge of SQL is required.

Your Responsibilities :

  • Coordinate with other teams to measure the impact and efficiency of new features and business processes.
  • Find insights from data and provide recommendations and actions that will further drive business to success for different teams (Operations, Paid MKT, Customer Services, Strategy&Planing)
  • Build and maintain detailed reporting models including core KPIs and growth funnels to assist city-level, regional, and expansion efforts.
  • Work cross-functionally and globally with other teams across central operations, products, city teams, etc.
  • Qualifications :

  • Degree in a quantitative discipline : engineering, economics, actuary, statistics, computer science, etc.
  • 3+ years of experience in data analytics / data mining or statistical methods application. 5+ years is preferred with management experience.
  • Proficiency in SQL is strongly preferred. Nevertheless, proficiency level in other languages apply to as Python, R, VBA or MATLAB.
  • Strong data visualization skills is a plus, such as Excel pivot tables, Tableau, etc.
  • Familiar with data warehouse, machine learning a plus is a plus.
  • Ability to communicate findings clearly to both technical and non-technical audiences.
  • Comfortable working in a geographically distributed and cross-functional, multicultural environment.
  • Professional proficiency in Spanish and English.
  • Based in CDMX / Guadalajara / Monterrey.
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