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Analytics Engineering Manager

Raylo

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

Today
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Job summary

A forward-thinking tech company in Greater London is seeking a data expert to lead its analytics platform, ensuring data is clean, reliable, and delivered quickly. The role involves taking ownership of the analytics stack and collaborating with teams to enhance data processing efficiency. The ideal candidate will have over 7 years of experience, strong SQL and dbt skills, and a STEM degree. The company offers stock options, a hybrid work model, and various employee benefits including flexible time off and professional development opportunities.

Benefits

Stock options
Raylo device lease
33 days off flexibility
L&D budget
Enhanced parental leave
Workplace nursery scheme
Perkbox membership
Quarterly socials and parties

Qualifications

  • 7+ years in a high-performing data team, ideally in a data-first organization.
  • Experience with SQL and dbt essential, Python knowledge is a plus.
  • Intense attention to detail and passion for building reliable, scalable systems.

Responsibilities

  • Take full ownership of dbt models and data pipelines.
  • Collaborate with the analytics team to ensure data delivers its potential.
  • Improve pipeline efficiency and scalability for analysts.

Skills

SQL
dbt
Python
ETL tools
Data visualization tools

Education

STEM degree from a top university

Tools

BigQuery
Looker
Airbyte
Job description
Overview

Why We Exist
At Raylo, we’re on a mission to accelerate the move to a circular economy. The only way customers and manufacturers will make that shift is if it’s simple and cost-effective. We’re building a category-defining global subscription infrastructure, making premium tech accessible and affordable for both consumers and businesses. With over 180,000 subscribers in the UK and growth accelerating, we’ve proven the demand for a smarter, more sustainable way to access technology.

Raylo is a fast-growing and profitable company, backed by global investors including Macquarie, NatWest, and Channel 4 Ventures. We were selected for Endeavor’s network in 2024 and recognised in Tech Nation’s UK Future Fifty programme in 2025. We have been B-Corp certified since 2021 and were acknowledged by S&P Global for the positive impact of our circular business model via a Green Financing with NatWest. At Raylo, performance matters. We set ambitious goals, move fast, and hold ourselves to a high standard because our mission is important.

Our Core Values
💡 Be deeply curious – We thrive on innovation through diverse approaches, views, and people.
👟 Walk in your customer’s shoes – To build the best products and make the best decisions for the long term, we must figure out what our customers need, not just what they want.
🎯 Focus and execute – We have a big vision, but we believe in nailing the most important problems first.
💥 Be gritty – Only gritty teams succeed. Our ownership, passion, and perseverance mean we’re a team through thick and thin.

What to Expect

Raylo’s Strategy & Analytics team sits at the heart of the business, powering decisions with fast, reliable and scalable data. As Raylo expands across new partners, verticals, and geographies, data volume and strategic importance grow. We have strong foundations—modern tooling, a capable team, and a deeply data-driven culture. We’re now looking for an ambitious data expert to lead our analytics platform, an increasingly critical element of our infrastructure.

You’ll take immediate ownership of the analytics stack (dbt, BigQuery, Looker, Airbyte and more). You will ensure that data is clean, reliable, well-structured and delivered at speed. Your work will unblock analysts and the wider business, increase the scale of data we can process and improve the stability and performance of our pipelines. You’ll partner closely with our data science team and the wider analytics team to provide leadership and guidance on how to use Raylo’s data, while remaining deeply connected to the data itself in your day-to-day work.

In the short term, your work will remove operational bottlenecks, reduce single points of failure, and improve data availability and latency. Longer term, you will define and deliver the strategic architecture that enables Raylo to scale: supporting new product launches, international expansion, advanced ML capabilities, deep funnel optimisation, fraud modelling, and more. This role is foundational to Raylo’s ability to achieve its growth plan.

What You’ll Do
  • Take full ownership of dbt models, BigQuery performance, and end-to-end data pipelines. Lead continuous improvement of our data CI/CD processes, developing a best in class analytics infrastructure
  • Work closely with the VP Strategy and Analytics, the analytics team and wider business (product, engineering, finance, operations) to make sure Raylo’s data is delivering to its potential
  • Improve pipeline efficiency, reduce data latency, and build reliable, scalable data structures for analysts and stakeholders.
  • Be part of a fast-paced, high-ownership environment where innovation is encouraged, and data underpins every decision.
  • Have the opportunity to accelerate your career through massive exposure at a rapidly scaling UK startup with genuine global ambitions
  • Take genuine strategic ownership of Raylo’s analytics platform, developing a multi-year plan for your vision
You’ll Succeed With
  • 7+ years in a high-performing data team, ideally with experience in a rapidly scaling, data-first organisation and a STEM degree from a top university
  • Strong SQL and dbt expertise essential, with Python knowledge a good addition. Experience with ETL tools and standard data visualization tools is helpful too
  • Exposure to fast-paced development culture and environment, ideally within consumer-facing or subscription products
  • An intense attention to detail and a passion for building reliable, scalable systems. Also, by setting and enforcing high standards within your domain, both for yourself and wider team members
  • The desire to scale efficient and sustainable data solutions, while keeping up-to-date with data platform best practices and emerging tools.
Opportunities & Benefits
  • Share in Raylo’s success – Stock options for all employees
  • Get the latest tech – Exclusive Raylo device lease for employees
  • Hybrid working model – that balances flexibility with in-person collaboration, empowering you to do your best work while staying connected with the team
  • 33 days off, your way – 25 days + 8 bank holidays with full flexibility to use on the days that mean the most to you
  • Invest in your growth – L&D budget to support the skills you value
  • Fast-track your career – Two performance reviews a year
  • Family-first policies – Enhanced maternity, paternity, adoption or shared parental leave, if you’ve been with us for 12 months
  • Save big on childcare – Workplace nursery scheme for major cost savings
  • Perks on perks – Perkbox membership with discounts & wellbeing benefits
  • Good times, guaranteed – Optional quarterly socials, plus summer & Christmas parties
Hiring Process

What’s next? Once you submit your application, our Talent Team will contact you if you have been shortlisted for the role. We set an exceptionally high bar at Raylo, and in return, we will aim to give you the best candidate experience possible. If there’s anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason, please let us know.

  • Stage 1: Talent Screening
  • Stage 2: Hiring Manager Interview
  • Stage 3: SQL Test
  • Stage 4: On-site Interview
  • Stage 5: Final: Values-based Interview & Co-founder Final
  • As an FCA-regulated business, we conduct background checks (DBS and AML) on all successful candidates who are offered a position at Raylo during the onboarding process.
Diversity & Inclusion at Raylo

At Raylo, we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives, believing they make us stronger.

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