Sr. Data
hace 6 meses
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.
Team Overview:
DiDi Food Growth team is seeking for a data analytics/science Sr. Analyst to support the decision making, topic analysis, development of dashboards for the LATAM Food business.
This position will work closely with internal teams including Operations, Business Intelligence, Products, etc. Strong skills required in data analysis, fetching, strategy and communication.
Role Responsibilities:
- Assist growth operation team in deep dive analysis, using quantitative tools and statistical models. Coordinate with teams to measure the impact and efficiency of new initiatives
- Find insights from data and provide recommendations and actions that will further drive business to success.
- Build and maintain detailed reporting models including core KPIs and growth funnels to assist city-level, regional, and expansion efforts.
- Work cross-functionally and globally with other teams across central operations, products, etc.
Role Qualifications:
- Bachelor Degree in a quantitative discipline: mathematics, engineering, economics, actuary, statistics, computer science, etc.
- Advance in SQL is mandatory. In addition, advance level in at least one other program language (Python, R, VBA or MATLAB).
- Strong data visualization skills are mandatory, such as Excel, Power BI, etc.
- Familiar with data warehouse, machine learning is a plus
- Ability to communicate findings clearly to both technical and non-technical audiences.
- Comfortable working in a geographically distributed and cross-functional, multicultural environment.
- Professional proficiency in Spanish and English.
- Based in CDMX / Monterrey / Bogotá
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.**
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.
**_
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