Pricing Analyst - DataScience

Didi; Lima; Híbrido; PEN 104,000 - 175,000; Jornada completa

Descripción de la vacante

A leading mobility technology platform in Lima is seeking a Pricing Analyst - Data Science to support strategic initiatives through advanced analytics. You will collaborate with various teams, design experiments, and communicate insights to enhance the platform's value proposition. Ideal candidates have a bachelor's degree, 4+ years of relevant experience, and proficiency in SQL and Python. This role offers a hybrid working model.

Servicios

Flexible work opportunities

Collaborative team environment

Commitment to diversity and inclusion

Formación

• 4+ years of experience in operations or growth roles in tech or consulting.
• Strong analytical skills with proven data-driven business decisions.
• Proven ability to build relationships with cross-functional teams.

Responsabilidades

• Apply advanced analytics techniques to support operations.
• Design and run experiments to understand courier behavior.
• Communicate effectively with stakeholders across teams.

Conocimientos

Advanced analytics techniques

Data analysis

Communication skills

Stakeholder management

SQL

Python

Machine Learning proficiency

Educación

Bachelor's degree in Business Administration, Economics, Engineering or related field

Herramientas

Excel

Data automation

Descripción del empleo

Pricing Analyst - DataScience

Job Locations: PE-Lima | MX-MEX-Mexico City

ID: 2025-15643

Category: Data Science

Employee Class: Regular

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 Pricing Sr. Analyst - Data Science, you will be responsible for supporting the team with analytical data to implement strategic initiatives that will help us bring the best value proposition to our couriers. In this role, you will lead several tests and some projects in which you will need to interact and collaborate with cross-functional teams like Marketplace, Product, Supply Growth, among other teams. In addition, you will need to have a strong sense of accountability and stakeholder management to align with our leadership on the different aspects that will be impacted by our pricing strategy.

Role Responsibilities

• Apply Advanced Analytics techniques (ML, regressions, clustering) to support the operations and help them understand hidden patterns in data
• Design, configure and run experiments (AB Tests) to understand courier behaviour and patterns
• Design dashboards that support the operations and keep track of main indicators
• Communicate with stakeholders and work with a multidisciplinary and multicultural team (China & Latam)
• Design, create and Launch data automations that synthesize information for the business stakeholders

Role Qualifications

• Bachelor's degree in Business Administration, Economics, Engineering or related field
• Seniority of 4+ years in business in total, with proven experience in operations or growth roles in tech, consulting firms or a similar industry
• Strong analytical skills, with a track record of using data to support business decisions
• Demonstrated ability in building and manteining relationships with cross-functional teams
• Proficiency in Excel is a must (Advanced SQL and Python proficiency are a must / Machine Learning and AI proficiency are a plus)
• Excellent communication skills
• Advanced english level

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, 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