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Zego

Analytics Engineer

Greater London
Posted 26 days ago
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About Zego πŸš€

At Zego, we're on a mission to do the good thing, not the insurance thing.

Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive.

We're not just updating insurance; We're leading the AI evolution in insurance πŸ€– For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook.

We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives. You'll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers.

Do not take our word for it. Read what Zegons say about us on Glassdoor.

If you're ready to build the future of insurance, we're hiring.

What you will be doing

  • Translate business needs into clear, well scoped requirements, so every model you build answers a question someone is actually asking
  • Build and maintain robust data models and exposures in dbt, Snowflake and Looker - using AI-assisted development to spend less time on boilerplate and more on specifying intent, reviewing and refining
  • Review and debug SQL critically, including AI-generated code, so we ship only models we can trust and document the decisions and trade-offs behind them
  • Extend the trust infrastructure of tests, data contracts and observability that keeps our models and pipelines reliable and stable
  • Integrate data from third-party sources such as Amplitude, Segment and Google Ads and create secure, efficient data shares for external partners
  • Enable self-service in our BI tools, so business users answer their own questions instead of queuing for the data team
  • Improve our data platform, tooling and ways of working, including how the team puts AI to work

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer β€” it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet β€” that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant β€” 2026 Scheme

PwCΒ·London, UK
Β£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon β€” deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme β€” client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right β€” and where to focus when applying.

What you will need to be successful

  • Analytics engineering experience - Around 1 to 3 years as an Analytics Engineer or in a similar role
  • Solid SQL - You are comfortable reading, writing, debugging and critically reviewing queries, including AI-generated ones
  • Modern data platforms - Familiarity with tools such as Snowflake, dbt, Looker, AWS or GCP, version control with Git and ideally some Python for data or analytics engineering tasks
  • A meticulous eye for detail - Strong problem-solving instincts and a healthy habit of asking whether a number is actually right, not just whether the query ran
  • Commercial curiosity - An interest in the why behind the numbers and the ability to connect data work to business outcomes
  • You work AI-first - You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait to be trained will find this uncomfortable

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The Zego ways of working 🏑

Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our office (central London or Halifax) weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it.

We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year.

Here is what the last one looked like.

Benefits 🎁

  • πŸ’° Market-competitive salary, benchmarked against your function and reviewed every year.
  • πŸ† Annual performance bonus, linked to company performance and your contribution.
  • πŸ“ˆ Share options, a real stake in the company and a share in the future you build
  • 🩺 Private medical insurance.
  • πŸ–οΈ Pension, generous holiday, and Β£1,000 a year to spend on getting to the office or learning something new.
  • πŸ’» Cutting-edge systems and tools, so you always have what you need to drive your impact.

Ready to do the most impactful work of your career? We want to hear from you.

Zego, leading the AI evolution in insurance.

Equal opportunities 🌈

We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

Trusted by 25,000+ job seekers

β€œIt took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Location

Greater London, England, United Kingdom

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