Analytics Engineer designing and developing software solutions for complex data at OCLC. Collaborating with teams to enhance data access and analytics capabilities.
About the role
- Analytics Engineer creating scalable data models to support multiple products at Marshmallow. Collaborating across teams to enhance data-driven decision-making and optimize product offerings.
Responsibilities
- Build for a Multi-Product World
- Data Modelling at Scale: Design and maintain scalable, reliable data models that support multiple products and customer journeys, ensuring consistency across insurance, payments, retention, claims, fraud, and upcoming new products like car finance.
- Cross-Domain Collaboration: Partner with product, operations, fraud, claims, retention, and growth teams to design datasets that drive real-time decisions, personalisation, and pricing optimisation for each product line.
- Collaboratively Set Standards
- Champion Modern Best Practices: Act as the subject matter expert for DBT, Snowflake, and Looker, setting the gold standard for how multi-product data models are built, tested, and optimised.
- Coach Across the Business: Enable analysts, scientists, and engineers to self-serve effectively by building curated data layers and reusable tools.
- Enable Fast, Autonomous Growth
- Optimise for Speed and Cost: Tune our data platform to deliver faster queries, lower cloud costs, and seamless onboarding of new products — key to enabling rapid product experimentation and scale.
- Data as a Product: Treat our data models as products themselves — reliable, observable, and optimised for customer impact across insurance, payments, loyalty, and future offerings.
- Solve Hard Problems
- Own the Full Stack: Gain deep expertise in the full data platform (AWS, Snowflake, DBT, Looker, orchestration frameworks) to deliver safe, reliable solutions at pace.
- Automation & Efficiency: Build with a bias towards automation and reusability, essential for scaling multiple product lines without a linear increase in complexity or cost.
Requirements
- Technical Expertise: Experience with production-grade ETLs, data warehousing, and robust data modelling. You are also proficient in SQL.
- Tooling Mastery: Hands-on experience with DBT, Looker (or similar BI tools), and orchestration frameworks like Airflow or AWS Step Functions.
- Mindset: You’re proactive, customer-obsessed, and see data as a product. You think scalability, self-service, and platform-first.
- Collaborative Leader: You enjoy partnering with analysts, engineers, and product teams to deliver value quickly and iteratively.
- Bonus Points: Experience with Python, Java, or cloud infrastructure (AWS); background in insurance, fintech, or regulated industries; excitement about building a multi-product ecosystem.
Benefits
- Flexible working: Spend a couple of days a week with your team in our collaborative London office, and own your own working hours. The rest is up to you 🏠***If this arrangement doesn’t work, don’t let it hold you back. We’re always open to making reasonable adjustments if this is a barrier to you in any way. Let us know and we’ll talk about our options.
- Competitive bonus scheme - designed to reward and recognise high performance 🌟
- Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that’s subscriptions, night classes (puppy yoga, anyone?), the big shop or a forest of houseplants. Pretty much anything goes 💰
- Mental wellbeing support – Access therapy and mental health sessions through Oliva 💚
- Learning and development – Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset 🤓
- Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches 🏥
- Medical cash plan - To help you with the costs of dental, optical and physio (plus more!)
- Tech scheme - Get the latest tech for less 🖥
- Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!
Job title
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