Analytics Engineer

We’re the UK’s leading premium publisher, and the people behind iconic media brands such as Cosmopolitan, Esquire, ELLE, Harper’s Bazaar and Country Living. We’ve created a working environment that encourages everyone to pull together. We never stop looking for brave new ideas. We’ll always try to develop and improve, we trust each other to do our best, and we have fun as we build on our heritage to make history.

The Role… As the Analytics Engineer you will play a key role in helping the business understand our customers. Sitting between data engineering and analytics, you’ll be the person who empowers analysts with clean, reliable, and accessible data, building the datasets, pipelines, and tools they need to explore insights, while also enabling and contributing to more advanced analytics such as RFM scoring, segmentation, and predictive modelling.

Main Duties…

• Build and maintain data models and pipelines within our GCP data environment to make data accessible, reliable, and usable for analysts and stakeholders.
• Collaborate with Merkle engineers (who maintain our GCP-based data lake) to ensure data lake architecture supports evolving analytical and reporting needs.
• Work with analysts to understand their data requirements, designing scalable solutions that support dashboards, customer metrics, and campaign analytics.
• Support advanced analytics projects, including RFM scoring, customer segmentation, and predictive models that help inform marketing and retention strategies.
• Optimise data workflows to improve performance, reduce duplication, and support self-serve analytics through tools like Looker and our CDP, ActionIQ.

What We Are Looking For…

• At least 2–4 years of experience in a data or analytics engineering role.
• Proficient in SQL and experienced working with large datasets within GCP (BigQuery) or similar cloud environments.
• Experience with Python for data transformation and automation.
• Experience with code management, review and reversion using GitHub.
• Comfortable collaborating with both analysts and engineers, translating business needs into robust technical solutions.
• Familiarity with Looker (or another BI tool) and an understanding of how to structure data for efficient dashboarding and self-serve analytics.
• Exposure to customer analytics concepts such as segmentation, LTV, churn, and RFM analysis is a plus.
• An interest in predictive analytics or data science (experience in predictive modelling or machine learning would be a bonus).
• Strong communicator who enjoys helping others make the most of data.

Benefits…

• Stay healthy with Specsavers eye care, a company-funded Health Cash Plan, and access to mental health support.
• Get active and stress‑free with discounted gym memberships and the Cycle to Work scheme.
• Embrace flexibility with a Location Flex and Holiday Exchange to take time when you need it.
• Take time to give back with a Charity Day and access wellbeing resources whenever you need them.
• Join one of our Hearst ERG Groups.
• Plan ahead with a generous Workplace Pension, Income Protection, Life Assurance and Season Ticket Loan for easier commuting.
• Make smarter money moves using Salary Finance tools, Financial Wellbeing sessions, and Home Tech benefits to spread costs.
• Treat yourself with major discounts across London plus everyday savings via the HAPI at Hearst app.

Hearst UK is deeply committed to using our influential brands to reflect the world we want to live in – one that respects, protects, represents and uplifts the voices and opinions of all people. As a business, we recognise the significant benefits of creativity, collaboration and innovation that comes with diverse teams. Not only is diversifying the voices in our organisation the right thing to do, but it also helps us to create powerful and exciting content that can be enjoyed by many more people. This is why we’re working to build a sense of true belonging within our business and foster a culture in which everyone feels heard.