At a Glance
- Tasks: Drive strategic reporting and analytics for top restaurant partners, optimising their operations.
- Company: Join Uber, a leader in reimagining global movement with bold ideas.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative office culture with excellent career advancement opportunities.
- Why this job: Make a real impact by helping major brands grow and succeed through data-driven insights.
- Qualifications: 5+ years in analytics, advanced SQL skills, and experience with data visualisation tools.
The predicted salary is between 60000 - 75000 £ per year.
About the Role
This is a strategic and high-impact position that serves as a key enabler for the Enterprise and Global Delivery Partners (GDP) department for UK & Ireland. The Operations Analytics Manager will be responsible for provisioning strategic reporting and deep‑dive analysis of our operations. A unique and critical aspect of this role is providing advanced analytics consulting to our top strategic partners (large restaurant chains), helping them grow their businesses, optimise their operations, and maximise their partnership value. Critically, this role provides excellent exposure to senior leadership and external executive teams through direct analytical work supporting our most strategically important brands. The successful candidate will be a technical, business‑savvy problem‑solver who can translate complex data into actionable insights for both internal stakeholders and external clients.
What the Candidate Will Do
- Reporting Ownership: Own, maintain, and continuously improve robust, high-quality operational and performance reporting dashboards and tools.
- Performance Analysis: Prepare and present strategic performance reviews for senior leadership and external partners (e.g., Weekly Business Reviews (WBR), Monthly Business Reviews (MBR), Quarterly Business Reviews (QBR)).
- Deep Dives: Lead analytical deep dives on key strategic themes, such as promotional efficiency, client profitability, and operational bottlenecks.
- Ad‑hoc Analysis: Fulfill ad‑hoc data and analysis requests, providing timely and accurate insights to support immediate business decisions.
- A/B Testing & Experimentation: Design, execute, and rigorously analyse A/B tests and other experiments across critical operational levers and commercial initiatives (e.g., promotions, incentives) to determine incrementality and drive optimisation.
- Client Consulting: Serve as an analytics consultant to strategic partners, leveraging internal data to provide tailored recommendations for operational improvement and business growth.
Basic Qualifications
- Minimum 5 years of relevant experience within a similar position.
- Advanced SQL: Demonstrated advanced proficiency in writing complex, efficient SQL queries for data extraction and manipulation.
- Data Visualisation: Extensive experience with major data visualisation tools (e.g., Tableau, Looker, PowerBI, or similar).
- Business Intelligence / Reporting: Strong foundational experience in Business Intelligence and reporting, including advanced skills in spreadsheet tools (Excel/Google Sheets) for modelling and analysis.
- Stakeholder Management: Proven ability to effectively manage and communicate with senior‑level stakeholders, building trust and influencing data‑driven decisions.
- Prioritisation & Time Management: Excellent organisational skills with the ability to manage multiple competing requests, prioritise effectively, and meet tight deadlines in a fast‑paced environment.
- Communication: Excellent verbal and written communication skills with the ability to articulate complex analytical findings to a non‑technical audience.
Preferred Qualifications
- Consulting: Previous experience in a consulting role or a highly matrixed organisation. Proven ability to influence executive‑level stakeholders.
- Data Science: Understanding of data science concepts, modelling, or statistical analysis techniques.
- Programming Skills: Proficiency in a programming language used for data analysis (Python/R).
- Industry Experience: Experience working with operational data within the logistics, e‑commerce, or food delivery industries.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real‑world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world – let’s move it 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 accommodations@uber.com.
Customer Success Manager II employer: Uber
Uber is an exceptional employer that fosters a dynamic work culture where bold ideas lead to real-world impact. As a Customer Success Manager II, you will enjoy unparalleled opportunities for professional growth while collaborating closely with senior leadership and strategic partners in the vibrant UK & Ireland market. With a strong emphasis on analytics and consulting, Uber provides a supportive environment that encourages innovation and values employee contributions, making it an ideal place for those seeking meaningful and rewarding careers.
