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, collaborative office culture, and opportunities for professional growth.
- Other info: Dynamic role with exposure to senior leadership and exciting 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.
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: Fulfil 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 your recruiter.
Customer Success Manager II in London 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 have the opportunity to engage with senior leadership and strategic partners, driving meaningful business growth through advanced analytics. With a strong emphasis on employee development and collaboration, Uber provides a vibrant office environment in the UK & Ireland, ensuring that your contributions are valued and recognised while offering ample opportunities for professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Success Manager II in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Uber!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Customer Success Manager II in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Uber, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Uber
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Uber’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
