Analytics Engineering Director
Analytics Engineering Director

Analytics Engineering Director

Full-Time 100000 - 120000 ÂŁ / year (est.) No home office possible
Deliveroo

At a Glance

  • Tasks: Lead a global team to build scalable, high-quality data products that drive business insights.
  • Company: Join Deliveroo, a dynamic company transforming the way people shop and eat.
  • Benefits: Competitive salary, equity options, flexible working, and opportunities for growth.
  • Other info: Diversity and inclusion are at our core; we welcome candidates from all backgrounds.
  • Why this job: Make a real impact in a fast-paced environment while solving meaningful problems.
  • Qualifications: Significant experience in leading analytics teams and strong SQL skills required.

The predicted salary is between 100000 - 120000 ÂŁ 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.

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.
  • 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.

Analytics Engineering Director employer: Deliveroo

Deliveroo is an exceptional employer, offering a dynamic work environment in London where innovation and impact are at the forefront of our mission. With a strong focus on employee growth, we provide opportunities for career advancement through challenging projects and a culture that values collaboration and continuous learning. Our commitment to diversity and inclusion ensures that every team member feels valued and empowered to contribute to meaningful solutions that affect millions of customers daily.
Deliveroo

Contact Detail:

Deliveroo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineering Director

✨Tip Number 1

Network like a pro! Reach out to current employees at Deliveroo on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!

✨Tip Number 2

Prepare for the interview by diving deep into Deliveroo's analytics projects. Familiarise yourself with their data strategies and think about how your experience aligns with their goals. Show them you’re not just another candidate, but someone who’s genuinely interested in their mission.

✨Tip Number 3

Practice your storytelling skills! Be ready to share specific examples of how you've led teams or tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to keep your answers structured and impactful.

✨Tip Number 4

Don’t forget to follow up after your interview! A quick thank-you email reiterating your excitement about the role can leave a lasting impression. Plus, it shows you’re proactive and genuinely interested in joining the team.

We think you need these skills to ace Analytics Engineering Director

Leadership
Data Strategy
SQL
Data Modelling
Analytics Engineering
Stakeholder Management
Technical Excellence
AI Integration
Business Intelligence (BI)
Data Governance
Problem-Solving
High-Quality Data Products
Scalable Data Solutions
Continuous Improvement
Metrics-First Mindset

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 ability to drive impactful decisions using data. This shows us you understand what we’re all about!

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and skills, especially your technical expertise in SQL and data modelling. We appreciate a well-structured application that’s easy to read.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.

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 analytics. Brush up on your SQL skills and be prepared to discuss specific examples of how you've used data to drive business impact in previous roles.

✨Showcase Your Leadership Style

This role involves 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 ready to share stories that highlight your experience in managing diverse teams and driving collaboration across departments.

✨Prepare for Stakeholder Engagement

Exceptional stakeholder management is key for this position. Prepare to discuss how you’ve influenced executive-level decisions in the past. Have examples ready that illustrate your ability to navigate ambiguity and build strong relationships with senior stakeholders.

✨Emphasise Your Vision for AI-Driven Analytics

Since the role focuses on evolving data strategies to be AI-first, be prepared to articulate your vision for integrating AI into analytics. Discuss any relevant experience you have with AI technologies and how they can enhance data productivity and decision-making.

Analytics Engineering Director
Deliveroo

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