About the Role
In this role you will play a pivotal part in driving consumer growth via creating investment strategies and data-driven recommendations, as well as building scalable processes to execute them. This includes analyzing large datasets, identifying trends and translating them into actionable insights which drive user acquisition, engagement and retention across different Uber Eats markets in the EMEA region. In parallel you’ll play a critical role in deploying investment budgets via our automated tools, as well as monitoring performance.
What You'll Do
- Build and launch processes: You will be creating processes that optimise growth and spend efficiency across various engagement and retention initiatives.
- Analytics: you will analyze different user acquisition and engagement channels and create dashboards to measure their performance and effectiveness.
- Data driven decision making: You will use data on a daily basis to lead your decision making, as well as to generate insights and recommendations.
- Capital Allocation: Collaborate with teams to define their growth strategy and support efficient capital allocation by creating models and frameworks.
- Stakeholder management & collaboration: You will build credibility and deliver value to the local operation teams, while collaborating with cross-functional teams in the EMEA HQ, Amsterdam (other Regional Operations teams, Strategy & Planning, Finance, Product...).
- Work on product rollouts: You will work with the different Product team to experiment & rollout consumer-facing products in EMEA.
What You'll Need
- At least 4 years of experience in Business Operations, Growth, Data Analytics, Data Science, Consulting, Pricing and a strong analytical background.
- A Bachelor or Master’s Degree, preferably in Computer Science, Engineering, Economics or Business
- Advanced SQL skills is a must; Gsheets/Excel and some dashboarding/data visualization experience (i.e. Looker, Tableau, or similar).
- First hand experience with experimental design (such as A/B experiments) and statistical methods.
- Excellent communication skills with an ability to translate quantitative findings into action plans and clearly present data to various audiences.
- Good problem solving skills with an ability to structure the challenges we face into concrete action plans.
- Proven project management skills with an ability to set up and manage processes or projects from the ground up.
Preferred Qualifications
- Partner management skills with experience working in diverse, cross-functional and global environments.
- Experience with Python is a plus.
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .