Analytics Engineer

We’re IAG Loyalty, one organisation with two ambitious, growing divisions across Loyalty and Holidays. Each has its own goals, strategy and team, but together we’re united by a shared vision: to create a more rewarding world of travel and experiences.

Our Loyalty division is home to Avios, the global loyalty currency, enabling millions of members to collect and spend rewards across travel, retail and financial services.

Our Holidays division, including British Airways Holidays and Iberia Vacaciones, connects customers to thousands of destinations worldwide through seamless, end to end travel experiences.

We’re on an exciting journey of growth and transformation. We’re going places.

As an Analytics Engineer in the Loyalty division, you’ll play a central role in how we understand digital behaviour across Avios.com and the Avios app.

This role sits firmly at the intersection of digital analytics and data engineering. We’re specifically looking for someone who is comfortable working with both raw data and digital tracking data, and can confidently bridge the gap between engineering and analytics.

You won’t just be moving data from A to B. You’ll shape how we model it, how we trust it, and how we use it to improve digital experiences. From browsing to checkout, from feature launches to experimentation, you’ll connect what customers do online to real commercial outcomes.

You’ll work hands on with web and app interaction data, transforming raw and semi structured event data into trusted, reusable datasets that power insight across the division. You’ll partner closely with analysts, implementation engineers and data engineers to ensure tracking is clean, structured and genuinely useful.

This is a hands on role with real ownership. You’ll be accountable not just for delivery, but for the quality, structure and usability of the data you build. As our experimentation capability evolves, you’ll help shape the data foundations behind it.

If you enjoy building in an environment that’s still maturing, where you can create, test, learn and continuously improve, this is that opportunity.

• Build and evolve digital data models that turn raw web and app interaction data into reliable, analysis ready datasets

• Work directly with raw and semi structured event data, shaping it into clean, structured and trusted outputs

• Own datasets end to end, from how data is captured and tracked through to transformation and consumption

• Create well structured, reusable datasets that enable self serve reporting and faster decision making

• Partner with analysts to explore customer journeys and digital behaviour, uncovering opportunities to improve conversion and experience

• Help design and improve how we measure experiments, building clear and trusted sources of truth

• Connect digital interaction data with commercial and campaign performance data to create a full end to end view

• Contribute to best practices in data quality, testing and documentation, staying pragmatic and delivery focused

We’re looking for someone who enjoys working across both analytics and engineering, and wants to keep growing in that space.

You’ll bring:

• Strong, hands on experience working with digital product data (web and or app), including event tracking, tagging and customer journeys

• Strong SQL skills, with the ability to work with complex transformations, large datasets and query optimisation

• Experience working with raw or semi structured data, for example event level data, and confidence exploring data before it’s fully modelled

• Experience with digital analytics tools such as GA or Adobe, and an understanding of how tracking decisions impact downstream data

• Experience working across the end to end data lifecycle, from data capture and tracking through to modelling and consumption

• Confidence applying your knowledge independently in a hands on environment, not just understanding concepts in theory

• A commercial mindset. You’re curious about conversion, attribution and how digital behaviour links to performance

• A collaborative approach. You enjoy working with analysts, engineers and product teams to solve problems together

• A desire to keep learning and developing your technical and analytics engineering skillset

You’ll likely be a strong fit if you’ve worked as an Analytics Engineer, a Product or Data Analyst with strong SQL and modelling experience, or a Data Engineer with meaningful exposure to digital analytics and tracking data.

• You prefer purely backend or data engineering work without engaging in digital analytics or product data

• You mainly work in dashboards or reporting without hands on data modelling and transformation

• You only want to focus on your own to do list. We’re a small, high performing team and we support each other

• You value perfection over iteration. We move fast, test, learn and improve as we go

If you think you have what it takes but don’t meet every single point above, please still apply. We’d love to have a conversation.

The Blend 📍

This role sits within our Loyalty division and is based in our London office.

We call our hybrid approach The Blend. It’s about giving you flexibility to work where you’re most effective, while staying connected to your team and the wider business.

You’ll typically spend at least two days per week in the office, with the rest working from home. There may also be occasional travel to other offices or partner locations depending on your work.

Diversity and Inclusion 

Our vision is to create a more rewarding world of travel and experiences. Delivering that requires diverse thinking and inclusive leadership.
We are committed to building a workplace where people feel they belong and are valued for their perspective. Inclusion drives better decisions, stronger performance and more innovative outcomes.
We actively encourage applications from people with different experiences and backgrounds, and are committed to ensuring our recruitment process is fair, inclusive and accessible.