Description:
Lead Marketing Analyst
The Company
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.
The Role
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.
Key Responsibilities
- 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.
Skills & Experience
Essential:
- 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.
Desirable:
- 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).