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Gaming Data Analyst

Blazesoft
Concord, ON, ca
$136K-$218.9K a year (estimated)
Full-time
Quick Apply

Job Description

Location : Concord, Ontario, Canada (In-Office Position)

Company Overview :

Join our dynamic and innovative gaming company that's passionate about creating immersive and cutting-edge gaming experiences.

We pride ourselves on a culture of creativity, collaboration, and a commitment to pushing the boundaries of gaming. If you're a highly motivated and skilled specialist passionate about the gaming industry, we want you to join our team.

Position Overview :

Join us at Blazesoft, where innovation meets gaming excitement, dive into the heart of gaming analytics as a Gaming Data Analyst and play a pivotal role in shaping the future of gaming experiences.

Main Responsibilities :

  • Utilize statistical and mathematical methodologies to analyze game data, uncovering insights that drive player satisfaction and retention.
  • Analyze large datasets to understand player behaviour, informing strategic and operational decisions.
  • Design and implement dashboards and reporting tools.
  • Ensure excellence in communication, presenting complex analytical findings in a clear.

Requirements :

  • A strong foundation in Statistical / Mathematical principles, with a proven track record of applying these in a professional setting.
  • Experience in a data analysis role, with a preference for backgrounds in the gaming industry, is a plus.
  • Exceptional problem-solving skills.
  • A passion for gaming and a commitment to continuous learning and adaptation in the fast-evolving gaming landscape.
  • A Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 2+ years of experience are similar roles, beneficial from the gaming industry.

Nice to have requirements :

  • Proficient in SQL and experience with complex data queries.
  • Experience with PowerBI
  • Familiarity with statistical tools and models (R, Python).

Why To Join Us?

  • Exciting projects using cutting-edge technologies
  • Collaborative and supportive work environment
  • Competitive salary and benefits package
  • Opportunities for career growth and advancement

Benefits :

  • Medical and Health Benefits . We provide our employees with medical benefits, including dental, vision, prescription coverage, medical coverage, and health benefits.
  • Compensation . We offer competitive salaries and annual bonuses based on individual performance and overachievement, as well as on the company's results.

The company has an Employee Stock Option Plan (ESOP) for qualifying employees after one year in the company.

  • Career Development . We promote leadership opportunities and continued learning by offering paid courses that will expand knowledge and expertise, mentorship, and the opportunity to attend profile networking events worldwide!
  • Unique Perks . Some company initiatives we run, tailored to our culture of celebration, include holiday parties, an annual trip to the Caribbean, anniversary celebrations, weekly Happy Friday’ lunches, and a world of other fun experiences!

How to Apply :

If you're ready to level up your career and join an exciting gaming company, please submit your resume and preferably a cover letter highlighting your relevant experience.

Requirements

  • A strong foundation in Statistical / Mathematical principles, with a proven track record of applying these in a professional setting.
  • Experience in a data analysis role, with a preference for backgrounds in the gaming industry, is a plus.
  • Exceptional problem-solving skills.
  • A passion for gaming and a commitment to continuous learning and adaptation in the fast-evolving gaming landscape.
  • A Bachelor's degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 2+ years of experience are similar roles, beneficial from the gaming industry. Nice to have requirements :
  • Proficient in SQL and experience with complex data queries.
  • Experience with PowerBI
  • Familiarity with statistical tools and models (R, Python).
  • 16 days ago