Game Analyst

Press Fire Games was founded by leading professionals with over 20 years of experience in engineering, art and game design spheres. Moreover, our key partners include ByteDance (TikTok), MGVC, and others.

At Press Fire Games, we're all about exciting mobile projects, remarkable graphics, and passionate teamwork. We have developed our own cross-platform engine that allows us to create games with excellent graphics and gameplay. Using our custom engine, we created the mobile shooter Battle Prime that has gained over 17 million installs and holds a rating above 4.5 in the App Store and Google Play.

We keep moving on and creating new projects. We are looking for an experienced Game Analyst to work on our new sport project.
Ready to level up your career? Apply now and let's create something amazing together!

Responsibilities

• Build the analytics infrastructure for the project using Firebase (clientside) and an inhouse serverside analytics system:

• Define requirements for data collection and storage, ensuring data quality and accessibility.

• Create analytical reports for business stakeholders and providing actionable recommendations for the technical team.

• Collaborate with the business team to enhance and evolve the product:

• Assist in the development of metrics, evaluation methodologies, and forecasting models.

• Align analytical goals and tasks with broader business objectives.

• Plan and conduct user behavior analysis, evaluating results, working with hypotheses, and validating them together with the product team.

• Crossfunctional collaboration with technical teams, game designers, management, and marketing.and partners, providing accurate and timely information on development status and key milestones.

What skills will you use

• 2+ years of experience in product data analytics within the gaming industry or related fields.

• Strong proficiency in SQL and experience working with large datasets (experience with BigQuery is a strong plus).

• Solid experience in developing product dashboards in BI systems for various team and company needs.

• Experience in building complex, multifunctional monitoring systems.

• Proven ability to formulate and test hypotheses to solve complex problems.

• Understanding of cohort analysis, RFM analysis, and user segmentation.

• Ability to clearly communicate complex concepts and present key insights and hypotheses, including through visualizations.

• Excellent knowledge of mathematical statistics and experience in statistical hypothesis testing.

• Experience working with analytics systems at the ETL/ELT pipeline level.

• Proficiency in Python, including data processing libraries such as Pandas, NumPy, etc. Experience with classical ML libraries is a plus.

• Advanced skills in Excel and spreadsheets for data modeling and rapid analysis.