Data-Driven Games Analyst — 4-Day Week & Remote Options in London

Data-Driven Games Analyst — 4-Day Week & Remote Options in London

London Full-Time 35000 - 45000 £ / year (est.) Home office (partial)
Hutch

At a Glance

  • Tasks: Analyse games data to enhance player engagement and monetisation strategies.
  • Company: Hutch, a dynamic gaming company based in London.
  • Benefits: Enjoy a 4-day workweek, remote options, and flexible hours.
  • Other info: Work in an agile environment with opportunities for growth.
  • Why this job: Join a collaborative team and make a real impact on exciting game titles.
  • Qualifications: Strong numerical skills and the ability to communicate complex data simply.

The predicted salary is between 35000 - 45000 £ per year.

Hutch in London is seeking a Games Analyst to join our data team.

You will work closely with game squads to analyse live and in-development titles, building predictive models and delivering actionable insights to improve engagement and monetisation.

The role requires strong numerical instincts, excellent communication, and the ability to explain complex data in simple terms.

Join a collaborative, agile environment with a 4‑day workweek and flexible hours.

#J-18808-Ljbffr

Data-Driven Games Analyst — 4-Day Week & Remote Options in London employer: Hutch

Hutch is an exceptional employer that champions a healthy work-life balance with its innovative 4-day workweek and remote options, allowing you to thrive both personally and professionally. Our collaborative and agile culture fosters creativity and teamwork, while providing ample opportunities for employee growth through continuous learning and development in the dynamic gaming industry. Join us in London, where your contributions will directly impact our exciting projects and help shape the future of mobile gaming.

Hutch

Contact Details:

Hutch Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data-Driven Games Analyst — 4-Day Week & Remote Options in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hutch!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data-Driven Games Analyst — 4-Day Week & Remote Options at Hutch.

Leverage Professional Networks

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 Hutch.

Apply Directly through Our Website

When you find a suitable opening like Data-Driven Games Analyst — 4-Day Week & Remote Options at Hutch, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data-Driven Games Analyst — 4-Day Week & Remote Options in London

Data Analysis
Predictive Modelling
Numerical Instincts
Communication Skills
Simplifying Complex Data
Collaboration
Agile Methodologies

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 Hutch, 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 Hutch. 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 Hutch

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!

Showcase Your Projects

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

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hutch!

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.