Marketplace Senior Analyst - City Owner
Mexico City, MEX, Mexico
DiDi Global
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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.
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Team Overview
Being part of the Marketplace team is developing one of the main cornerstones of the business: marketplace balance. As part of the broader City Operations organization, our Marketplace team responsible for the engagement and retention of our users and allocating supply in an efficient and timely manner to support the experience within the app. This position will be responsible for building deep insights about the ride-hailing business from multiple perspectives like pricing, marketplace and competition. The ideal candidate must have strong analytical skills, data driven mindset, prioritization capabilities, attention to detail and excellent execution. The role will demonstrate leadership in multi-skill projects and initiatives.
Role Responsibilities
- Ownership of Marketplace Strategies: Leading strategies to enhance marketplace efficiency and improve driver retention.
- Initiative Development: Creating new initiatives aimed at efficiently balancing our marketplace.
- Data Analysis: Conducting continuous data analysis to understand day-to-day driver behavior and competitive trends.
- KPI Optimization: Optimizing efficiency KPIs through operational tools and programs informed by comprehensive data analysis.
- Cross-Functional Collaboration: Working closely with teams like marketing, product, and user research to place user experience at the center of all initiatives.
Role Qualifications
- At least 2+ years of data analytics, business consulting, investment banking or operations management experience.
- Data science, engineering, economics or other analytically-focused academic background. All backgrounds are welcome if you see yourself suitable in a highly analytic environment.
- Experience with data-based decision-making, exercising good judgment in ambiguous circumstances, and effectively communicating across a diverse team. Previous professional experience in analytical or operational roles is preferred.
- Demonstrated experience using programming languages or tools for data extraction and analysis such as Excel, SQL, Python, Power BI, Tableau, etc. is a must
- Great attitude and hands-on approach.
- Proven to be self-motivated, self-directed and eager to take ownership of tasks.
- Proficiency in English & Spanish.
- Strong verbal and written communications skills.
- Detail-oriented, hands-on and strong teamwork mindset. Self-motivation with a strong affinity for problem solving, driving action, and strong project ownership.
- If you are a detail-oriented and eager to learn individual with a passion for data analysis and a desire to gain hands-on experience in the. Ride-hailing industry, we encourage you to apply.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Consulting Data analysis Data Analytics Economics Engineering Excel KPIs Power BI Privacy Python Research SQL Tableau
Perks/benefits: Career development Flex hours
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