Senior Operations Manager - Marketplace

Uber; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative company is seeking a talented operations analyst to join their dynamic team in London. In this role, you'll leverage data-driven insights to optimize delivery processes and enhance customer experience. You'll collaborate with cross-functional teams to drive operational excellence and implement new features that improve efficiency. If you have a strong quantitative background and a passion for problem-solving, this is the perfect opportunity to make a significant impact in a fast-paced environment. Join us to help shape the future of delivery services and ensure a seamless experience for all stakeholders.

Qualifications

• 3+ years experience in operations, analytics, or product roles.
• Strong commercial mindset with data analysis skills.

Responsibilities

• Own key aspects of UK operations to ensure seamless delivery.
• Collaborate with global product teams to launch new features.

Skills

Data Analysis

SQL

Python

Communication Skills

Commercial Mindset

Education

Quantitative Degree in STEM

Economics Degree

Tools

SQL Databases

Python Libraries

Job description

About the Role

Uber Eats delivers millions of orders each week across the UK. Behind every delivery lies a sophisticated network of processes and algorithms designed to keep our operations running smoothly. These systems tackle challenges such as determining which merchants to show each customer, assigning the right courier to each order, and dynamically balancing customer demand with courier supply in real time.

In this role within the UK&I Central Operations team, you’ll be at the heart of solving these complex problems. Leveraging data-driven insights, you'll collaborate closely with cross-functional teams—including Commercial, Finance, Data Science, and Product—to drive operational excellence and deliver an exceptional experience for both customers and couriers.

What you'll do

• Own key aspects of our UK operations - such as delivery times, order completion rates, and throughput - to ensure a seamless experience for consumers, couriers, and merchants.
• Partner with global product teams to shape, test, and launch new features (e.g. enhanced matching algorithms, innovative customer propositions, autonomous deliveries).
• Use data-driven analysis to identify opportunities to improve our operations, and bring these opportunities to life through experimentation and continuous optimisation
• Build and optimise UK marketplace processes to ensure operational excellence (e.g. determining store level delivery areas, ensuring we have the right amount of courier supply)
• Collaborate with senior commercial stakeholders to improve account-level performance, using marketplace insights to inform strategy and support commercial decision-making

What you'll have

• Quantitative degree in STEM, Economics or similar
• 3+ years experience in operations/ analytics/ product ideally within a tech or strategy consultancy firm
• Strong commercial mindset with the ability to build compelling business cases to support recommendations
• Robust data analysis and technical skills, including advanced SQL to source data from large, complex data sources
• Excellent communication skills (both written and spoken)
• Able to use Python to perform data analysis (e.g. data manipulation, regression modeling)
• Experience working with a wide range of functional stakeholders (Product, Engineering, Commercial, Finance, Legal)

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*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 [e-mail].