Sr Operations Analyst at DiDi Global
Lima, Lima, Peru -
Full Time


Start Date

Immediate

Expiry Date

09 Sep, 25

Salary

0.0

Posted On

10 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Excel, Economics, Analytics, Sql, Decision Making, Ownership, Operations, Academic Background

Industry

Information Technology/IT

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:
We are looking for an execution oriented person, with great data skills, to be part of one of the most amazing start-ups in the Food category across LATAM. As a Sr. Analyst, you will be responsible for the planning and execution of the initiatives that will help us bring the best value proposition to our couriers.
This role will allow you to interact and collaborate with cross-functional teams like Product, Operations, Marketing, among other teams. In addition, you will align with senior stakeholders on the funding for your proposed solutions. We expect you to have a strong sense of ownership, as well as proficiency in Excel and SQL.

Role Responsibilities:

  • Design, refine, and scale the Courier Loyalty Program.
  • Monitor key performance metrics and uncover improvement opportunities by leveraging data analytics tools such as SQL and Python, alongside data visualization tools.
  • Collaborate closely with cross-functional teams—including Product, Operations, and Marketing—to ensure loyalty strategies are aligned with broader company goals.
  • Develop and present actionable, data-driven insights and compelling business cases to senior leadership, contributing to the long-term vision of the Loyalty Program.
  • Plan, conduct, and synthesize user research to gain a deep understanding of courier needs, motivations, and behaviors.
  • Design, implement, and analyze tests and experiments to generate actionable knowledge and guide strategic decision-making.

Role Qualifications:

  • Business, engineering, economics or other analytically-focused academic background. All backgrounds are welcome if you see yourself suitable in a highly analytic environment
  • 2+ years of professional experience in consulting, operations, analytics, and/or product roles
  • Experience with data-based decision-making, exercising good judgment in ambiguous circumstances
  • Effectively communicating across a diverse team.
  • Proven to be self-motivated, self-directed, and eager to take ownership of tasks
  • Proficiency in stakeholder & project management
  • Structured thinking to solve diverse challenges
  • Experience with data-based decision-making
  • Excel and SQL. Python is a plus
  • Fluent English

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.
Responsibilities

Role Responsibilities:

  • Design, refine, and scale the Courier Loyalty Program.
  • Monitor key performance metrics and uncover improvement opportunities by leveraging data analytics tools such as SQL and Python, alongside data visualization tools.
  • Collaborate closely with cross-functional teams—including Product, Operations, and Marketing—to ensure loyalty strategies are aligned with broader company goals.
  • Develop and present actionable, data-driven insights and compelling business cases to senior leadership, contributing to the long-term vision of the Loyalty Program.
  • Plan, conduct, and synthesize user research to gain a deep understanding of courier needs, motivations, and behaviors.
  • Design, implement, and analyze tests and experiments to generate actionable knowledge and guide strategic decision-making

Role Qualifications:

  • Business, engineering, economics or other analytically-focused academic background. All backgrounds are welcome if you see yourself suitable in a highly analytic environment
  • 2+ years of professional experience in consulting, operations, analytics, and/or product roles
  • Experience with data-based decision-making, exercising good judgment in ambiguous circumstances
  • Effectively communicating across a diverse team.
  • Proven to be self-motivated, self-directed, and eager to take ownership of tasks
  • Proficiency in stakeholder & project management
  • Structured thinking to solve diverse challenges
  • Experience with data-based decision-making
  • Excel and SQL. Python is a plus
  • Fluent Englis
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