Growth Operations Sr Analyst

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

Team Overview

About the job

Being part of the Driver Growth Operations team will give you the unique opportunity to help drive growth in one of the fastest growing companies ever. This data driven role calls for a rare combination of user-centric, analytical thinking & interpersonal ability. You will have the opportunity to work in a tight team, where you will launch, build and run DiDi's business in Spanish Speaking LatAm. Be prepared for a hectic, fast paced and challenging environment. Never a dull moment!

Driver Growth Operations team members are very important for the expansion and sustainability of the business. The ideal candidates for our opening roles should have very strong analytical skills (e.g. Python, R, SQL, etc.) and feel comfortable transforming insights into business decisions.

You will be constantly seeking solutions that scale, while overseeing the growth of our business. Your processes and projects will directly contribute to DiDi growth in LATAM!

Role Responsibilities

Your responsibilities:

• Design and implement initiatives to acquire new drivers, being able to leverage data for the decision making process.

• Manage the launch and execution of incentives, projects, communications and product developments needed for driver acquisition, ensuring efficiency and expansion.

• Be primary point of contact for internal stakeholders, managing expectations and prioritizing operations to deliver results, whilst constantly working along cross-functional teams (Marketing, Legal, City Operations, Product, etc).

• Define and manage data dashboards to monitor national performance of driver acquisition and our results.

• Ownership of driver acquisition incentives, across multiple countries in Spanish Speaking LatAm.

• Constantly generate knowledge through experimental testing.

Role Qualifications

The successful applicant:

• Bachelor's Degree: Engineering, Data Science, Actuary or any related field.

• Growth / Marketplace experience: Experimental Testing, User Acquisition, Conversion, Habit Loops, PMF, GTM, Communication Strategies, Marketplace Balance, Pricing, etc

• Resilient: proven to be self-motivated, self-directed, and eager to take ownership of tasks to ensure solutions.

• User Centric: understanding the needs, motivation and detractors of ride-hailing Drivers to link with our Value Proposition.

• Problem Solver with unique strength towards identifying bottlenecks and coming up with creative solutions.

• Data-driven core: passion for data analytics and programming, with knowledge/experience in SQL (Nice to have: Python, R, etc.). Strong spreadsheet skills (Excel / Google Sheets) are a must. Comfortable about learning and using new software tools.

• Effective communication skills. Proficiency in English & Spanish. We're an international team!

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.

We are committed to building inclusive and diverse teams.

At DiDi, we believe that our differences are our biggest source of strength. That‘s why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer.

Employment and advancement decisions at DiDi are always made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate.

We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that’s how we create better products and services, make better decisions and better serve the communities we’re a part of.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for Candidates which is available on https://careers.didiglobal.com/terms