Senior Marketing Analyst

Overview

In this role you will partner with Growth, Marketing and Games Product teams to turn data into actionable insights that optimise user acquisition, marketing initiatives and live game features. You will build and automate models, report performance, and influence product decisions with data-driven recommendations. The position sits at the intersection of analytics and product, shaping how marketing data informs LiveOps and features. Join a data‑driven studio that values transparency, collaboration and impact at scale.

Pay / Benefits

• 4‑Day Work Week
• Flexible hours
• Remote work 2 days per week
• Excellent salary
• Private health care
• Maternity and paternity leave

Responsibilities

• Analyse performance marketing data to enable data-driven decisions
• Lead performance marketing analytics activities, building processes and priorities
• Curate and automate LTV modelling to measure and predict ROI
• Conduct analyses to answer key questions on marketing performance
• Develop and maintain performance marketing reporting and present updates
• Inform UA, game analysts and marketing teams on best practices with BI Team and create self-service dashboards
• Investigate new methodologies and services (e.g., Media Mix Modelling, SKAN, incrementality testing, predictive modelling)
• Collaborate with Game Analytics to analyse post-install dynamics of acquired users
• Track metrics linking acquisition quality and marketing spend to downstream player behaviour to inform in-game decisions
• Design and evaluate experiments (A/B tests, campaign and feature trials) with statistical rigor

Key requirements

• Proven experience in an analytical marketing role, data-driven and performance-focused
• Strong analytical skills with LTV/ROI modelling and marketing mix or attribution analysis
• Solid understanding of digital advertising channels and campaign optimisation
• Ability to translate marketing and player data into input for feature and LiveOps decisions
• Proficiency in Excel and BI/analytics tooling (Amplitude, Tableau, or similar)
• A degree in Math, Statistics, Economics, or other quantitative field

• Collaborative communication
• Ability to translate data into actionable insights
• Strong presentation skills
• LTV/ROI modelling
• Marketing mix/attribution analysis
• SQL (bonus)

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