At a Glance
- Tasks: Analyse game data to drive insights and support decision-making for exciting video games.
- Company: Join a dynamic gaming company with a passion for innovation and collaboration.
- Benefits: Enjoy flexitime, private healthcare, and a supportive pension scheme.
- Other info: Hybrid role with opportunities for career growth and travel to events.
- Why this job: Make an impact in the gaming industry by transforming data into actionable insights.
- Qualifications: Strong analytical skills and experience in data analysis, preferably in gaming.
The predicted salary is between 35000 - 45000 £ per year.
Location: Leamington Spa (Hybrid)
About The Role
We’re looking for an experienced, detail-oriented Data Analyst, who is passionate about data and driven by insights in the video games industry. You should be a strong collaborator and an excellent communicator, able to break down complex data and concepts in a clear and accessible way for a variety of audiences. You’ll be working closely with both commercial and development teams to analyse existing inbound data and offer insights for our existing and in-development games, helping to build analytical strategy for the products and contributing to their further success. You’ll connect with both technical and non-technical stakeholders, presenting clear, actionable analysis and insights that support decision‑making and business planning. This is a multifaceted role that includes responsibilities in in‑game player telemetry, financial forecasting and sales analytics.
Role Overview - key responsibilities
- Working with the VP of Technology, the VP of Marketing and the Commercial Director to define and evolve the analytics roadmap to support Secret Mode’s goals.
- Collaborating with stakeholders across departments (including Production, Marketing, Finance, and Development teams) to ensure that data is collected accurately, analysed effectively, and communicated clearly.
- Translating complex data findings into clear, actionable recommendations for non‑technical audiences and which include errors, limitations and uncertainties.
- Performing financial forecasting and performance modelling to support business planning.
- Working closely with engineering to ensure data pipelines and tracking systems are reliable and scalable.
- Building and maintaining dashboards, automated reporting and self‑service tools using platforms such as Databricks, Grafana, Fabric, Synapse, SQL, Python, and in‑house tools.
Skills and experience you need
- Strong numerical and analytical skills, with a degree in Computer Science, Mathematics, Engineering, or a closely related discipline (highly desirable).
- Significant experience in data and business analysis, preferably in games, entertainment, or tech.
- Coding and scripting experience in at least one of Python, R, or Bash.
- Strong knowledge of statistical modelling, data analysis, graphing and visualisations.
- Industry experience of working with both Linux and Windows.
- Strong knowledge of a range of Databases (flatfile, relational, document, timeseries, etc).
- Proven experience using a range of ETL & ELT pipelines (dbt, Logstash, Python, Gitlab ci/cd, TeamCity, etc).
- Proficient in data querying tools and visualisation tools e.g. Athena, Tableau, PowerBI, Fabric, Grafana, SQL.
- Comfortable working with both structured and unstructured data.
- Excellent communication and stakeholder management skills to convey complex concepts to non‑technical people.
Skills and experience it would be great to have
- Video game industry experience, including knowledge of online game components and an understanding of player behaviour.
- Experience working with telemetry data from live service or multiplayer games.
- Familiarity with game engines (e.g., Unity, Unreal) and telemetry tracking systems.
- Previous people management experience (but we’re open to supporting someone stepping into a management role for the first time).
Travel Requirements
This role requires you to be in our Leamington Spa studio for two days a week and may involve travel to events. Please note that this role is only open to applicants who have the right to work in the UK. We are currently unable to offer sponsorship or consider applications from outside the UK.
Benefits
- Flexitime working hours
- Pension Scheme
- Benefits platform with company funded allowance which includes:
- Income Protection and Life cover
- Private Healthcare coverage
- Critical Illness
- Online GP
Game Data Analyst in Royal Leamington Spa employer: Secret Mode
At Secret Mode, we pride ourselves on being an exceptional employer in the vibrant gaming industry, located in the heart of Leamington Spa. Our collaborative work culture fosters creativity and innovation, providing employees with ample opportunities for professional growth and development. With flexible working hours, a comprehensive benefits package including private healthcare and income protection, and a commitment to supporting our team members, we ensure that your career here is both meaningful and rewarding.
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We think this is how you could land Game Data Analyst in Royal Leamington Spa
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We think you need these skills to ace Game Data Analyst 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!
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How to prepare for a job interview at Secret Mode
✨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.
