Analytics Engineering Manager

At Raylo, we’re on a mission to accelerate the move to a circular economy. 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 are proud to have been selected for Endeavor’s network in 2024, underscoring our role as a high-impact, mission-driven business with global ambitions. In 2025 we were recognised as part of Tech Nation’s UK’s Future Fifty programme. We have been B-Corp certified since 2021 and were recently acknowledged by S&P Global for the positive impact of our circular business model via a Green Financing with NatWest.

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, new verticals, and into new geographies, the volume, complexity and strategic importance of data continues to grow. We already have strong foundations - modern tooling, a highly capable team and a company culture that is deeply data-driven. 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 existing 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. This will put you at the heart of decision-making across every part of the business. 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 that’s got 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 preceded by 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 visualisation 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.
• 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.
• 33 days off, your way – 25 days + 8 bank holidays with full flexibility.
• 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.
• 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

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.