


Core areas of our work.
We design and maintain data pipelines that bring match, tracking and scouting information into a single, documented source of truth.
We develop probabilistic models that forecast outcomes and quantify uncertainty around key sporting and recruitment decisions.
We work with technical and executive staff to interpret model outputs and embed them into existing decision processes.
Who we are
Founded by analysts and engineers who spent years inside elite football clubs, Noera was born from a simple frustration: the gap between available data and actionable intelligence was too wide. We closed it.
Analysts, engineers and practitioners with experience building and operating analytics in professional sport.
Chief Analytics Officer
Brings almost two decades of front office experience across multiple NBA organisations, combining basketball operations leadership with a background in product and analytics.
Director of Data Science
Leads Noera's data science group, with a focus on probabilistic modelling, tracking data and decision support tools for technical staff.
Data Engineer
Works on data architecture and tooling to ensure models are supported by reliable, well-documented datasets.
Lead Data Scientist
Focuses on building and validating models that can be trusted in production, from early research through to deployment and monitoring.
Data Engineer
Designs and maintains the data infrastructure that underpins Noera's products, from ingestion and quality checks through to downstream consumption.
Full-Stack Engineer
Builds the internal and client-facing tools that expose Noera's data and models in a reliable, usable way.
Data Analyst
Works at the interface between models and domain experts, translating analytical outputs into clear, practical reporting.
If you're responsible for sporting or recruitment decisions and would like to understand what is possible with your data, we'd be happy to talk.