Jobs in Crawley, United Kingdom

Location : Remote (UK-based)

Salary : Up to £100,000 + benefits

Start Date : ASAP

A global digital entertainment business with millions of active users worldwide. Known for creating immersive experiences and building strong communities, the company continues to invest heavily in data-driven marketing. You’ll be joining a dedicated Analytics, Data Science & Engineering hub that shapes strategy across marketing, customer lifecycle, and product.

This is a senior role leading marketing analytics for a fast-scaling consumer brand. You’ll be the central expert on campaign measurement, attribution, and optimisation, guiding spend and targeting decisions across multiple channels. Alongside delivering hands‑on analysis, you’ll mentor a small team, partner with senior stakeholders, and ensure best practice in data‑driven marketing decisions.

• Lead and mentor a small marketing analytics team, setting best practices and ways of working.
• Own full‑funnel, cross‑channel analysis covering acquisition, engagement, and retention.
• Improve campaign performance measurement through attribution modelling, incrementality testing, and media mix modelling.
• Partner with Data Science to develop predictive models (e.g. LTV, churn) to inform budget allocation.
• Build and maintain marketing forecast models to optimise spend and ROI.
• Conduct robust statistical analysis to improve campaign testing methodologies.
• Deliver clear reporting and actionable insights to marketing, CRM, and executive stakeholders.
• Collaborate with Data Engineering to ensure reliable data pipelines and infrastructure.
• Champion a data‑first approach across marketing and product teams.

• 5+ years’ experience in marketing analytics or a related data role.
• Proven ability to lead or mentor junior analysts.
• Expertise in attribution, incrementality, and campaign measurement.
• Strong SQL skills and proficiency with analytics tools (e.g. GA4, Looker, Tableau, Power BI).
• Hands‑on experience with digital marketing channels including CRM, paid media, and lifecycle.
• Strong communication skills, comfortable influencing senior stakeholders.
• Excellent statistical analysis and data storytelling ability.

• Experience building LTV, churn, or other predictive models.
• Familiarity with marketing mix modelling and forecasting techniques.
• Python or R for advanced analytics.
• Exposure to high‑volume, consumer‑facing industries (gaming, media, entertainment, or subscription).

1. Introductory chat with the hiring manager.
2. Technical task and presentation.
3. Final interview with senior leadership, focusing on strategy, culture, and stakeholder alignment.

Send your CV to Mohammed Buhariwala at Harnham, or connect on LinkedIn to learn more.

Lead Marketing Analyst, Marketing Analytics, SQL, Python, Attribution, Incrementality, Media Mix Modelling, Campaign Measurement, Forecasting, LTV, Churn, Data Storytelling, Stakeholder Management, Remote.