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DiDi Global

L4 autonomous driving for robotaxi services

Operations Analyst

Data AnalysisUpdated on Nov 5
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listedIn-person

About the Job

Requirements

  • Relevant experience in Data Analytics, Business Intelligence, Supply Operations, Logistics, or related areas.
  • Intermediate to advanced proficiency with data visualization tools such as Tableau, Power BI, or Metabase, and spreadsheet modeling in Excel or Google Sheets.
  • Strong ability to query, process, and analyze large datasets using SQL, translating raw data into actionable business insights.
  • Ability to connect operational metrics and supply indicators to broader business priorities and company strategy.
  • Ability to investigate performance gaps, identify root causes within the supply chain, and propose practical solutions.
  • Ability to partner effectively with Operations, Product, and cross-functional leadership teams.
  • Ability to communicate, lead meetings, and prepare business materials in English.

Responsibilities

  • Extract and process massive datasets, primarily using HiveQL, and build optimized, robust queries to support the operation's analytical needs.
  • Interact with other teams to investigate new data sources, map unknown tables, and clarify the business meaning of specific columns and metrics.
  • Partner with cross-functional stakeholders to validate analytical assumptions, ensure data accuracy, and standardize operational concepts and business rules across the company.
  • Lead the creation, mapping, and automation of operational indicators (KPIs), defining how to measure the success, availability, and efficiency of the supply network.
  • Develop and continuously enhance the Supply metrics strategy, aligning data products with business priorities and operational outcomes.
  • Build, maintain, and improve dashboards, reports, and data visualization tools to track operational performance.
  • Monitor performance and set up operational alerts across regions and cities, translating large datasets into actionable insights and recommendations for the Supply operation.

About the Company

DiDi Global

L4 autonomous driving for robotaxi services

DiDi Autonomous Driving integrates Level 4 autonomous driving into DiDi’s shared ride-hailing and logistics networks. It uses a complete hardware–software stack, including its Orca computing platform and Beiyao Beta LiDAR, to power robotaxi services and autonomous trucking via Kargobot; revenue comes from robotaxi fares and logistics services. It works by combining self-driving vehicles and human-driven cars in a hybrid dispatch system within the DiDi app, deploying robotaxi fleets in cities like Shanghai and Guangzhou and partnering with automakers such as GAC Group, Volvo, and a joint venture with GAC Aion to mass-produce autonomous vehicles. Its goal is to scale commercialization of autonomous mobility and freight services through deep platform integration, automaker partnerships, and large-scale operations.

Company size
51-200
Company stage
Series D
Total funding
$1.5B
Headquarters
China
Founded
2012

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