Product Data Analyst

Senior Data Analyst / Data Manager

Fast-Growth Consumer Subscription Brand – Hybrid (Greater London Office, 3 Days a Week)

A fast-moving consumer business in the

prize competition and subscription entertainment

space is looking to bring data in-house for the first time, hiring a commercially-minded Senior Analyst to build out core infrastructure and provide insight to marketing, product, and leadership teams.
This is a hands-on role suited to someone who enjoys full-stack analytics — from data warehousing and ETL to stakeholder insight and dashboarding.

The Business
The company operates a

free-to-enter prize model

combining soft gaming mechanics with tiered subscription products.
Subscription model

includes monthly prizes, brand vouchers, VIP experiences, and cinema perks
Operates at the edge of regulated lottery/gaming, but maintains a clean, entertainment-first positioning
Rapid growth planned for 2024 — scaling from 10 to 50 employees
Strategic B2B partnerships with major UK brands (Vodafone, RAC, Telegram)
Currently UK-focused, with expansion into Brazil launching via local operating partner

This is a fast-paced,

data-reliant environment , with performance marketing, paid media, and partner engagement all underpinned by analytics.

The Opportunity
Until now, data has been managed by offshore consultants — too slow for a business growing this fast. This new hire will be the first

in-house data lead , with ownership of tooling, infrastructure, and day-to-day analytics delivery.
You’ll be a core member of the central team, working across functions (product, tech, marketing) to deliver insight that drives commercial performance.

Core Responsibilities:
Build and manage a

centralised data warehouse

(likely BigQuery)
Develop

ETL processes

and ensure clean, reliable data flows
Own and evolve dashboarding in

Looker Studio
Deliver regular and ad hoc insights to key stakeholders:
Head of Marketing (campaign performance, funnel analysis)
CTO (platform/product usage)
Head of Product (feature usage, behavioural analytics)
Manage incoming data requests, helping prioritise and triage business needs
Conduct data audits and shape long-term data strategy
Proactively surface insights to unlock customer value and optimise acquisition/retention
Be comfortable

fighting fires

and responding quickly in a fast-growth environment

Tech Stack
SQL

(core skill)
Looker Studio

(preferred)
BigQuery
Early-stage data tooling – you'll have influence over stack development

Ideal Candidate
3+ years’ experience in data analytics, ideally with warehousing and ETL exposure
Strong SQL capability
Hands-on experience with Looker Studio or equivalent visualisation tools
Commercial mindset – comfortable translating data into strategic insight
Experience in a performance-led environment: e-commerce, subscription, betting or gaming is a plus
Capable of working autonomously and managing a varied workload
Strong communicator – can work across tech, marketing, and leadership
Happy working in a

hybrid model – 3 days/week onsite in South-East London

This is an opportunity to

build from scratch

and have a tangible impact on the company’s success as it moves from startup to scale-up — with international growth, new products, and increased data demands just around the corner.

Please apply by sending your CV to Roshni at or via the Apply link on this page.