At a Glance
- Tasks: Analyse game data to drive insights and support decision-making for exciting projects.
- Company: Join a dynamic gaming company focused on innovation and collaboration.
- Benefits: Enjoy flexitime, private healthcare, and a pension scheme.
- Other info: Work in a vibrant studio environment with opportunities for growth.
- Why this job: Make an impact in the gaming industry while developing your analytical skills.
- Qualifications: Strong analytical skills and experience in data analysis, preferably in gaming.
The predicted salary is between 40000 - 50000 £ per year.
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 employer: Breath HR
At Secret Mode, we pride ourselves on being an exceptional employer in the gaming industry, offering a vibrant work culture that fosters collaboration and innovation. Our Leamington Spa studio provides a dynamic environment where you can thrive, with flexible working hours, comprehensive benefits including private healthcare and a pension scheme, and ample opportunities for professional growth. Join us to make a meaningful impact on our games while working alongside passionate colleagues who share your enthusiasm for data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Game Data Analyst
✨Tip Number 1
Network like a pro! Connect with folks in the gaming industry on LinkedIn or at events. Don’t be shy to reach out and ask for a chat about their experiences – you never know where a conversation might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to gaming. Use visuals and clear explanations to make it easy for non-techies to understand your insights.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms. Remember, you’ll be working with both technical and non-technical teams, so clarity is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our success in the gaming world.
We think you need these skills to ace Game Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Game Data Analyst role. Highlight your experience in data analysis, especially in the gaming industry, and showcase your skills in Python, SQL, and any relevant tools. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and gaming. Share specific examples of how you've used data to drive insights and decision-making in previous roles. Remember, we love clear communication, so keep it concise and engaging!
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of projects where you’ve analysed data and provided actionable insights. We’re keen to see how you can break down complex data into understandable recommendations for various audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Breath HR
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like SQL, Python, and visualisation platforms such as Tableau or Grafana. Be ready to discuss your experience with these tools and how you've used them to derive insights from data.
✨Communicate Clearly
Since you'll be translating complex data for non-technical stakeholders, practice explaining your past projects in simple terms. Use examples that showcase your ability to break down intricate concepts into actionable insights.
✨Show Your Passion for Gaming
Demonstrate your enthusiasm for the video game industry during the interview. Share your experiences with games, any relevant projects you've worked on, and how you understand player behaviour and telemetry data.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, as this role involves working closely with various departments. Think of examples where you've successfully collaborated with others, especially in a data-driven context, and be ready to share those stories.
