Automation & Analytics Manager

About the Role

In our Automation & Adv. Analytics team we are passionate about encouraging a specific skill-set ( business translation through Data Science) that collaborates with a vast number of business partners within Uber Eats LatAm, having direct responsibility on impacting the business's highest priorities. Our Operations Manager (Automation & Analytics) role is essential to bring together a three-sided marketplace by optimizing/managing processes!

This Operations-driven role calls for a rare combination of deep technical skills (primarily coding and optimization modeling), creative problem solving, and strong partner/project management.

1. Design, implement and supervise automation assets by scaling new and existing processes, always focusing on operational efficiency and growth
2. Use sophisticated analytics and business intelligence techniques to uncover hidden patterns and business opportunities. Use data to challenge the status-quo and influence/drive teams to action!
3. Choose which projects should be prioritized, set realistic timelines to reach goals, efficiently drive projects through coordination with partners & project management
4. Proactively search for new product features that could improve a magnificent Eater, Courier, and Restaurant experience in the platform
5. Work with Product/Engineering as an Operations liaison on existing processes/frameworks, coordinating other mega-regions for processes scaling and standardization

1. A minimum of 3+ years of robust work experience in a startup, strategy, operations, analytics, or a variety of other specialty roles with consistent track record in quantitative fields
2. Technical expertise: Programming proficiency in a scripting language, SQL and optimization methods; Python proficiency is a must
3. Professional proficiency in English
4. Problem solving: Be able to address issues that involve people, things, and processes by using logic, eye for business and data, in a scientific approach
5. Pro-activeness in a constantly evolving work environment while maintaining flexibility and a collaborative/positive demeanour
6. Good communication skills that will allow objective and constructive debates with technical and non-technical people from all backgrounds
7. Experience in building large scale solutions with potential integrations with different frameworks
8. Self-learning + "hacking" attitude to seek the status-quo and build solutions that yet don't exist (for problems that seem impossible)

1. Proficiency in Optimization models (such as classifiers, regressions, forecasting) for both deterministic/stochastic scenarios
2. Machine learning experience
3. Streamlit and AI knowledge