At a Glance
- Tasks: Lead a global team to transform data into actionable insights and drive decision-making.
- Company: Join Deliveroo, a dynamic company revolutionising the food delivery industry.
- Benefits: Competitive salary, equity options, flexible working, and opportunities for rapid career growth.
- Other info: Embrace a culture of collaboration, continuous learning, and diversity.
- Why this job: Make a real impact in a fast-paced environment while solving meaningful problems.
- Qualifications: Extensive experience in analytics leadership and strong technical skills in SQL and data architecture.
The predicted salary is between 80000 - 100000 £ per year.
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across product, commercial and operations through experimentation, causal inference and machine learning. From optimising rider dispatch to personalising customer journeys and forecasting demand at scale, we turn complex data into measurable business impact.
We’re looking for an Analytics Engineering Director to join our team in either London. In this role, you’ll define the long-term vision for how we model and govern data, ensuring our global teams have the high-quality foundations needed to drive mission-critical decisions at scale.
About Our Analytics Organisation
We have an outstanding analytics organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company, in product, business and platform teams and are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Analytics Engineering is a core pillar of our Analytics Organisation, alongside Data Science, with over 100 Analytics Engineers across the UK, Europe, India and the US. Our Analytics Engineers are embedded directly within product and business domains, giving them clear context and ownership, while operating with common design principles and ways of working within each company. We operate at significant scale and complexity. Our data platform processes hundreds of Terabytes per day and powers everything from self-serve analytics and experiments through to executive reporting and strategic planning.
What You’ll Be Doing
You’ll be leading the Analytics Engineering team. This organisation is the foundation of our data ecosystem, bridging the gap between raw engineering outputs and actionable business insights. You'll lead a global team of experts dedicated to building scalable, high-quality data products that serve the entire business. Here’s what your day-to-day might look like:
- Define and execute the global vision and roadmap for analytics engineering, in particular evolving our data strategy to be AI first.
- Lead a high-performing organisation, managing globally to foster a culture of technical excellence, delivery, and continuous growth.
- Partner closely with senior stakeholders across Product, Engineering, and the Business to ensure analytics is embedded in every decision.
- Drive 'Data as a Product', owning the evolution of our data models and semantic layer, ensuring teams can reliably self-serve from high-quality data products.
- Champion governance and guardrails, establishing rigorous standards for modelling, semantics, testing, and auditability to ensure our data products are trusted and reliable.
- Maintain technical depth, staying hands-on enough to review SQL/data models, guide architectural decisions, and troubleshoot high-priority incidents when needed.
What You’ll Need to Thrive
Essential
- Significant experience leading large, global analytics or data engineering organisations within complex, high-growth environments.
- Proven ability to define and execute long-term technical strategies across BI, data modelling, reporting, and the intersection of analytics and AI.
- Deep technical credibility, with a strong command of SQL and experience with modern data architectures and technologies.
- Exceptional stakeholder management skills, with the ability to influence at the executive level and navigate organisational ambiguity with confidence.
- A 'metrics-first' mindset, with a focus on ensuring technical execution translates into measurable business impact.
- A strong bias for action, with the ability to move quickly, deliver impact, and iterate based on feedback.
Nice to Have
- Experience building internal BI platforms or self-service ecosystems that empower non-technical users.
- Familiarity with AI-forward analytics, such as AI-assisted querying or leveraging LLMs to improve data productivity.
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
- Solve meaningful problems at real scale.
- Work on a complex, always-on marketplace that impacts millions every day.
- See your impact, fast.
- Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
- Grow through challenge and ownership.
- Take on big, ambiguous problems and accelerate your career with strong support.
- A culture built for builders.
- High standards, collaboration, flexible working and continuous learning.
- Share in the success you help create.
Competitive salary and equity options, so you’re rewarded for the impact you make.
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or if you require any reasonable adjustments during the recruitment process, please contact our recruitment team at accommodations@deliveroo.co.uk and we’ll be happy to help ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Analytics Engineering Director in London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineering Director in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Deliveroo on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Analytics Engineering Director role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and understanding modern data architectures. Be ready to discuss how you can drive 'Data as a Product' and ensure high-quality data products.
✨Tip Number 3
Showcase your leadership style! Think about examples where you've fostered a culture of technical excellence and delivery in your previous roles. This will resonate well with the team at Deliveroo.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Deliveroo family.
We think you need these skills to ace Analytics Engineering Director in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data and analytics shine through. We want to see how you can transform complex data into actionable insights, so share examples of your past experiences that highlight your passion and expertise.
Tailor Your Application: Make sure to customise your application to align with our mission and the specific role. Highlight your experience in leading analytics teams and your understanding of AI-first strategies. This shows us that you’re not just applying randomly but are genuinely interested in what we do.
Be Clear and Concise: We appreciate clarity! Use straightforward language and get straight to the point in your application. Avoid jargon unless it’s relevant, and make sure your key achievements stand out. This helps us quickly see how you can contribute to our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you’re at it.
How to prepare for a job interview at Deliveroo
✨Know Your Data Inside Out
As an Analytics Engineering Director, you'll need to demonstrate a deep understanding of data modelling and governance. Brush up on your SQL skills and be ready to discuss how you've previously tackled complex data challenges. Prepare examples that showcase your ability to turn raw data into actionable insights.
✨Showcase Your Leadership Style
This role requires leading a global team, so it's crucial to convey your leadership philosophy. Think about how you foster a culture of technical excellence and continuous growth. Be prepared to share specific instances where you've successfully managed teams and influenced stakeholders at the executive level.
✨Align with Their Vision
Deliveroo is looking for someone who can define and execute a long-term vision for analytics engineering. Familiarise yourself with their current data strategy and think about how you can evolve it to be AI-first. Bring ideas to the table during the interview that align with their mission and demonstrate your forward-thinking approach.
✨Prepare for Technical Questions
Expect to dive into technical discussions during your interview. Be ready to discuss modern data architectures and technologies, as well as your experience with BI platforms. Practise articulating your thought process when reviewing SQL/data models or troubleshooting incidents, as this will showcase your hands-on technical depth.