Game Data Analyst - job 1 of 2

Job description

Are you a passionate gamer with a strong analytical mindset? Do you love diving into data to uncover insights and drive business decisions? Then we have the perfect opportunity for you!We are seeking a skilled Game Data Analyst to join our dynamic team at Amazon. As a Game Data Analyst, you will play a crucial role in understanding player behavior, identifying trends, and providing actionable recommendations to enhance our game offerings. You will have the opportunity to work with cutting-edge technology and collaborate with talented individuals to shape the future of gaming.To excel in this role, you should have a deep understanding of the gaming industry, strong analytical skills, and experience in data manipulation and visualization. If you are a self-driven, detail-oriented individual with a passion for gaming, we would love to have you on our team!

Conduct in-depth analysis of player behavior and game performance data to identify trends and provide insights to drive business decisions.

Utilize various data manipulation and visualization techniques to effectively communicate findings and recommendations to cross-functional teams.

Collaborate with game developers and designers to identify key performance indicators and track progress towards goals.

Create reports and dashboards to monitor game performance and provide regular updates to stakeholders.

Continuously monitor and analyze game metrics and make data-driven recommendations for improvements to game design and features.

Stay updated on industry trends and best practices in gaming analytics to help drive innovation and competitiveness.

Work closely with marketing teams to analyze player acquisition and retention strategies.

Identify and troubleshoot data issues, ensuring data accuracy and consistency.

Develop and maintain data models to support efficient data analysis and reporting.

Communicate complex analytical concepts and findings in a clear and concise manner to both technical and non-technical audiences.

Collaborate with other data analysts and data scientists to share insights and best practices.

Stay updated on Amazon's technology and tools to continually improve and streamline data analysis processes.

Take ownership of projects and meet deadlines in a fast-paced, dynamic environment.

Actively seek out opportunities for process improvements and efficiency gains.

Uphold data privacy and security standards in all aspects of work.

Amazon is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.