Senior Growth Analyst

Overview

You will drive growth by turning data into actionable insights for a portfolio of mobile games. You’ll build forecasting models, monitor performance, and surface opportunities to optimize user acquisition, product strategy and revenue. Expect to influence investment decisions and roadmap priorities through clear data storytelling and cross-functional collaboration. This role combines advanced analytics with a commercial mindset in a fast-paced, experimentation-driven culture. A strong hook is the chance to directly impact growth and profitability across multiple games.

Responsibilities

• Develop automated reporting and monitoring systems across key business metrics
• Create early-warning systems for revenue, UA performance, ROAS, retention, and player behaviour
• Build dashboards to provide clear visibility into business performance
• Develop and maintain LTV models and forecasting methodologies
• Create ROAS and payback models and support budgeting, scaling and portfolio allocation
• Improve model accuracy through validation and iteration
• Collaborate with UA teams to optimise marketing investment and evaluate campaigns
• Identify opportunities to improve acquisition efficiency and provide actionable recommendations
• Analyse attribution and performance data to inform growth decisions
• Investigate performance changes, diagnose root causes, quantify impact, and prioritise opportunities
• Support design and evaluation of tests and experiments and establish measurement frameworks
• Work with Product, Growth and Creative teams on success metrics
• Support creative testing initiatives and translate marketing data into practical recommendations
• Present insights clearly to technical and non-technical stakeholders and influence decisions

Key requirements

• Several years of analytics or data analysis experience in mobile gaming, mobile apps, consumer digital products or performance marketing
• Proven ability to inform commercial decisions through analytics and experience with paid UA data
• Strong SQL skills
• Strong Python or R experience
• Experience building predictive and forecasting models
• Experience working with large datasets and complex data environments
• Advanced dashboarding and reporting capabilities
• Hands-on experience with LTV forecasting, cohort analysis, ROAS modelling, retention analysis, funnel analysis and revenue analytics
• Understanding of experimentation frameworks and statistical testing
• Commercial mindset with ability to assess financial impact and influence growth decisions
• Strong communication, storytelling and stakeholder management skills

• Strong communication and storytelling
• Stakeholder management and influencing ability
• Commercial mindset
• SQL
• Python or R
• Predictive and forecasting modeling

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