Associate UX Researcher: Player-Centric Discovery

Associate UX Researcher: Player-Centric Discovery

Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Bally's Interactive

At a Glance

  • Tasks: Conduct player research and translate insights into impactful design recommendations.
  • Company: Bally's Interactive, a leader in player-centric gaming experiences.
  • Benefits: Health insurance, annual leave, and a hybrid work model.
  • Other info: Join a dynamic team in Manchester with great career growth potential.
  • Why this job: Be the voice of players and shape the future of gaming design.
  • Qualifications: Experience in UX research and familiarity with tools like Maze and Google Analytics.

The predicted salary is between 30000 - 40000 Β£ per year.

Bally's Interactive is seeking an Associate UX Researcher in Manchester to be the primary advocate for players. This role involves conducting research to uncover player needs and translating insights into actionable recommendations that influence product design.

The ideal candidate should have a background in UX research and familiarity with tools like Maze and Google Analytics.

The position offers a hybrid model, with 3 days a week in the office and various benefits such as health insurance and annual leave.

Associate UX Researcher: Player-Centric Discovery employer: Bally's Interactive

Bally's Interactive is an exceptional employer that prioritises player advocacy and innovation in the gaming industry. Located in Manchester, we offer a dynamic work culture that fosters collaboration and creativity, alongside comprehensive benefits including health insurance and generous annual leave. Our commitment to employee growth ensures that as an Associate UX Researcher, you will have ample opportunities to develop your skills and make a meaningful impact on product design.

Bally's Interactive

Contact Details:

Bally's Interactive Recruitment Team

We think you need these skills to ace Associate UX Researcher: Player-Centric Discovery

UX Research
Player Advocacy
Research Methodologies
Maze
Google Analytics
Data Interpretation
Actionable Recommendations