Junior Data Analyst, Product Analytics - Gaming in London

Junior Data Analyst, Product Analytics - Gaming in London

London Full-Time 31500 - 38500 £ / year (est.) No working from home possible
Miniclip SA

At a Glance

  • Tasks: Analyse player and product data to support decisions and create engaging reports.
  • Company: Join Miniclip, a leading gaming company with a vibrant culture.
  • Benefits: Gain valuable experience, learn new skills, and enjoy a fun work environment.
  • Other info: Collaborative team atmosphere with opportunities for growth in the gaming industry.
  • Why this job: Kickstart your career in gaming analytics and make an impact on player experiences.
  • Qualifications: Passion for data, basic knowledge of SQL, and eagerness to learn.

The predicted salary is between 31500 - 38500 £ per year.

Miniclip is seeking a Junior Data Analyst to join the Product Analytics team in London.

You will analyze player and product data to inform decisions, support experiments, and create clear reports and visualizations.

This role is ideal for early-career candidates looking to grow in product analytics within gaming.

You will work closely with product and game teams, learning SQL and data tools like Looker, Python or R, and basic statistics.

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Junior Data Analyst, Product Analytics - Gaming in London employer: Miniclip SA

Miniclip is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the vibrant city of London. Employees benefit from ample growth opportunities, working alongside industry leaders in the gaming sector, while enjoying a supportive environment that values creativity and strategic thinking. With a focus on long-term career development and a commitment to maintaining a strong pipeline of opportunities, Miniclip stands out as a rewarding place for professionals seeking meaningful impact in their careers.

Miniclip SA

Contact Details:

Miniclip SA Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Analyst, Product Analytics - Gaming in London

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Junior Data Analyst, Product Analytics - Gaming at Miniclip SA, 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 Junior Data Analyst, Product Analytics - Gaming in London

Communication Skills
Problem-Solving Skills
Python
SQL
Automation
Attention to Detail
Data Quality Assurance

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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Craft a Tailored Cover Letter:For a full-time role at Miniclip SA, 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 Miniclip SA. 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 Miniclip SA

Brush Up on Your Statistics

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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.