At a Glance
- Tasks: Transform data into insights to drive growth for mobile games and optimise strategies.
- Company: Join a dynamic gaming company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on experimentation and career advancement.
- Why this job: Make a real impact on game profitability and user acquisition strategies.
- Qualifications: Experience in analytics, strong SQL and Python skills, and a commercial mindset.
The predicted salary is between 45000 - 55000 £ per year.
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
Senior Growth Analyst employer: Skillsearch
Join a dynamic and innovative game development team where your role as a Producer will be pivotal in delivering high-quality, multi-platform game releases. With a strong emphasis on collaboration and support, you'll have the opportunity to influence production processes while working in a positive environment that fosters creativity and growth. Located in a vibrant area, this position offers exposure to the full game development lifecycle, ensuring that you are at the forefront of exciting projects and career advancement.
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We think this is how you could land Senior Growth Analyst
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We think you need these skills to ace Senior Growth Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Skillsearch
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
