The Work
The work runs from reporting and analysis through to the models, platforms and systems underneath. Most of it starts with a question someone needs answered from data that already exists, and ends with something a team can keep running on its own.
Business Intelligence & Analytics
Business intelligence and reporting built around the decisions they support, standardised so that numbers stay comparable across teams.
Customer & Marketing Analytics
Lifecycle analytics from acquisition through churn and lifetime value, with experimentation designed to support a conclusion.
Data Science & Predictive Analytics
Forecasting, predictive models and experiment design, grounded in applied statistics and validated against data they have not seen.
Data Platforms & Engineering
Warehouses, pipelines and migrations, built so a small team can keep running them afterwards.
Technology & Systems
Applications, integrations and infrastructure, and the technical direction that decides what is worth building.
Digital Products
Digital products and the systems that publish, distribute and measure them.
Approach
- Understand the problem before proposing to solve it.
- Prefer methods whose assumptions can be checked, and check them.
- Build things that someone else can operate and maintain.
- Make sensible use of what is already there.
- Add complexity only where it earns its place.