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Job Summary

Company
Didi Chuxing​

Location
Mexico City, Mexico​

Job Type
Contract (1 year)

Pay Rate
Competitive Salary

Job Reference Code
J2000141

Business Intelligence Specialist - Food

Posted on Jun 28, 2020
Didi Chuxing
Mexico City, Mexico

About Company:

Didi Chuxing is the world's leading mobile transportation platform. The company offers a full range of mobile tech-based mobility options for over 450 million users, including Taxi, Express, Premier, Luxe, Hitch, Bus, Minibus, Designated Driving, Car Rental, Enterprise Solutions and Bike-Sharing. With its daily orders reaching up to 25 million, over 21 million drivers and car owners are generating income on DiDi platform. DiDi acquired Uber China in August 2016.


Job Profile:

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


Job Details:
Responsibilities

  1. Coordinate with other teams to measure the impact and efficiency of new features and business processes.
  2. Find insights from data and provide recommendations and actions for operation teams that will further drive business to success.
  3. Build and maintain detailed reporting models including core KPIs and growth funnels to assist city-level, regional, and expansion efforts.
  4. Work cross-functionally and globally with other teams across central operations, products and city teams

Qualifications

  1. BS/MS/PhD degree in a quantitative discipline: statistics, applied mathematics, operation research, computer science, engineering, economics, etc.
  2. 3+ years of experience in data analytics / data mining and statistical methods application. 5+ years is preferred with management experience.
  3. Programming-related knowledge and experience (SQL, Python, MATLAB, R, VBA).
  4. Strong data visualization skills is a plus, such as Excel pivot tables, Tableau, etc.
  5. Familiar with data warehouse, machine learning a plus.
  6. Ability to communicate findings clearly to both technical and non-technical audiences.
  7. Comfortable working in a geographically distributed and cross-functional, multicultural environment.
  8. Professional proficiency in Spanish and English.
  9. Based in CDMX/ but some national travel is expected

Apply Now

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