At a Glance
- Tasks: Lead growth analytics for mobile games, monitoring revenue and retention.
- Company: Dynamic gaming studio in Leamington Spa with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a creative team dedicated to pushing the boundaries of gaming.
- Why this job: Shape the future of mobile gaming with data-driven insights and strategies.
- Qualifications: Experience in growth analytics and a passion for mobile games.
The predicted salary is between 49500 - 60500 £ per year.
the company is seeking a Senior Growth Analyst for its Growth Analytics team in the Leamington Spa studio.
You will act as the early-warning radar for the mobile portfolio, building automated monitoring of revenue, spend, ROAS, and retention, and developing LTV models to steer UA decisions.
Beyond reporting, you’ll articulate opportunities with clear rationale, propose actionable strategies, and track impact with robust dashboards and tests.
Senior Growth Analytics Lead - Mobile Games in Royal Leamington Spa employer: Kwalee
At Kwalee, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Senior Market Intelligence Analyst, you'll benefit from a collaborative environment where your insights directly influence our mobile gaming strategy, alongside opportunities for professional growth and development. Located in a vibrant tech hub, we offer unique advantages such as flexible working arrangements and a commitment to work-life balance, making Kwalee an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Growth Analytics Lead - Mobile Games in Royal Leamington Spa
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kwalee.
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We think you need these skills to ace Senior Growth Analytics Lead - Mobile Games in Royal Leamington Spa
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kwalee, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kwalee. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kwalee
✨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.
