Job Description
About Collinson
Collinson is the global leader in travel experiences and customer engagement, a business that builds loyalty 500 million times a day, across 140 countries, for some of the world’s most ambitious brands. Our clients include major financial institutions, airlines, transport operators and retailers who trust us to design programmes that move customers from passive participation to genuine, measurable commitment.
Our loyalty practice sits at the intersection of behavioural strategy, data science and programme design. We believe the best loyalty programmes are strategic assets, not cost centres - and that the commercial case for a programme lives or dies on the quality of the data thinking behind it. We are evidence-led in everything we do: the incremental journey assumption, the partner revenue model, the rewards strategy, the measurement framework. All of it is built on data.
The Role
This is a senior data strategy hire into our consulting business, and a new capability for the practice. You will sit alongside the Strategy Director as a peer — the two roles are designed to work in close partnership, with strategy and data working as a single discipline rather than separate functions. Where the Strategy Director owns the loyalty proposition and commercial narrative, you own the data foundation it is built on, the analytical insight that sharpens it over time, and the evidence that proves it is working.
This is not a technical data role. We are not looking for an engineer, an analyst or a data scientist. We are looking for someone who understands what data can reveal about customer behaviour, what it means for a loyalty programme’s commercial performance, and how to turn that into recommendations that clients will act on. The ability to interrogate a client’s database and surface something genuinely surprising - a segment no one had noticed, a rewards pattern that is suppressing engagement, a trend that changes the programme’s direction - is as important as the ability to model a commercial scenario.
You will work directly with clients at a senior level. You will present findings, lead working sessions, and be a trusted voice on what the data is saying and what to do about it. The relationship dimension matters: clients on these accounts are sophisticated, commercially fluent and will push back hard on anything that does not hold up. You need to be someone who welcomes that.
What You’ll Do
Commercial modelling
Build and own commercial models for new and existing loyalty propositions - registration and engagement scenarios, incremental journey assumptions, partner revenue sizing, cost modelling and sensitivity analysis
Pressure-test commercial assumptions with data: where are the numbers relying on optimism rather than evidence, and what does the floor case actually look like
Develop and maintain incrementality measurement frameworks - control group design, attribution methodology, baseline construction - that make the commercial case defensible to a finance director or a board
Work with the Strategy Director to ensure that every commercial argument we make is grounded in a data foundation that can survive scrutiny
Client data exploration and insight
Conduct rich exploratory analysis of clients’ existing data: transaction databases, engagement records, CRM data, travel behaviour patterns to surface trends, anomalies and opportunities that clients have not seen or have not known how to act on
Translate analytical findings into clear, commercially useful insight: not data for its own sake, but data that changes what a client decides to do next
Produce insight outputs - reports, presentations, working papers - that are genuinely readable by a non-technical senior audience and that arrive with a clear recommendation attached
Identify segments, behavioural clusters and customer patterns that inform proposition design, reward strategy and communication targeting
Client relationships and programme…