Head of Analytics

Lighthouse Games Open · verified Oct 24, 2026

On-site Royal Leamington Spa Director Data Analysis & BI

At a glance

Director-level Data Analysis & BI role at Lighthouse Games. Royal Leamington Spa.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI

SeniorityDirector

LocationRoyal Leamington Spa

WorkplaceOn-site

PostedSep 22, 2026 · 4w ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Set the analytics direction for the game, defining KPIs and a telemetry plan that supports product, design and commercial choices
Hire and develop analysts and data engineers, establishing team standards, priorities and ways of working
Work with design, production and user research to assess features and playtests using telemetry, experiments and player research
Track progression, engagement, retention, player journeys and economy health, then lead live-service reporting and forecasting after launch
Coordinate analytics definitions, reporting and data governance with internal teams and the publisher’s analytics group

What you bring

You have taken a game or digital product from development through launch, including telemetry, KPI frameworks and Alpha or Beta testing
You have built or expanded an analytics and data engineering team through hiring, coaching and setting standards
You bring strong practical SQL skills, plus Python or R, and sound grounding in statistics and experimentation
You have used analysis to guide game design, product or live-service decisions

Who this fits

This director-level role suits someone who can lead people while remaining hands-on with analytics. You’ll work from the Leamington Spa studio, and the job spans early development through launch and live operations.

From the employer

Lighthouse Games is a new AAA studio in Leamington Spa. We are defined by our pedigree of talent, and serious ambition to build a new best-in-class game. When you join us at Lighthouse, you will be able to create the best work of your career, in an environment that feels truly collaborative. You will learn from the best, and work along side the future greats of the gaming industry.

Reporting to the Director of Live Service, you’ll build and lead analytics, including data engineering, for a new AAA IP from development through launch and into live operations. Year one is about foundations: KPIs, telemetry and playtest support through Alpha and Beta. After launch, the focus moves to live service performance and economy health. This is primarily an analytics and people leadership role.

Key Duties Include

Own the analytics strategy by defining the questions, KPIs and frameworks that support product, design and commercial decisions, then translating them into a measurement plan covering telemetry, event taxonomy and data quality
Build and lead the analytics and data engineering team through hiring, coaching, and setting standards, ways of working and priorities
Partner with Design, Production and UXR to set hypotheses and success criteria for features and playtests, and evaluate them through telemetry, experiments or other appropriate methods, weighing data alongside player research and design judgement
Lead player, product and economy analytics across progression, engagement, retention, segmentation, player journeys and economy health
After launch, own live service analytics (content and event performance, monitoring, forecasting and scenario planning), delivered through dashboards, reporting and self-service
Represent analytics across Design, Production, Engineering, Product, UXR, and with our publisher’s analytics team, aligning on definitions, reporting, and data governance and privacy

Requirements

Experience taking a game or digital product through development and launch, including standing up telemetry and KPI frameworks and supporting Alpha/Beta testing. Live operations experience strongly preferred.
Experience using analytics to shape game design, product or live service decisions
A track record of building or growing a team of analysts and data engineers, including hiring, coaching and setting standards
Strong, hands-on SQL, plus Python or R
Solid statistical grounding: experimental design, inference, forecasting and scenario modelling, sound judgement when formal tests aren’t feasible, and the pragmatism to know when a quick answer serves the decision better than a deep one
Clear communication that turns analysis into recommendations, honesty about uncertainty, and explaining trade-offs to creative and commercial partners

Desirable