Senior Data Analyst
Contexto salarial para esta função
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Salário indicado
GBP 90,000+ / yearlySalário publicado neste anúncio.
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Resumo da vaga pela JobGrid
Senior Data Analyst at Midnite: Remoto, Reino Unido; Tempo inteiro; Sénior; TI; Analytics. This listing is part of JobGrid's Empregos remotos de data analyst em páginas de empresas. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remoto, Reino Unido
- Role classification: TI, Analytics, Tempo inteiro, Sénior
- Employer salary shown on the listing: GBP 90,000+ / yearly
- Source freshness: checked by JobGrid on 2026-05-31.
🚀 Why Midnite?
Midnite is a next-generation sports betting and gaming platform built for a new wave of players.
We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today.
Over 400,000 players have already made the move, and we’re only just getting started.
We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading.
Not your grandad’s bookie.
👀 The Role
Title: Senior Data Analyst
Team: Analytics / Data
Salary: Up to £90,000
Location: Remote UK
We’re looking for a commercially minded Senior Data Analyst to help Midnite make smarter decisions through insight, analysis, and stakeholder partnership.
This role will sit at the centre of how we understand customer behaviour, retention, product performance, and commercial opportunity. You’ll work closely with Growth, Product, Commercial, and Trading teams to turn ambiguous business questions into clear analytical frameworks and actionable recommendations that influence real business outcomes.
You’ll have the opportunity to shape how analytics supports decision-making across the business while helping us deepen our understanding of customer behaviour and lifecycle performance as we continue to scale.