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Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Key Responsibilities:
· Perform data analysis to support payment analysis, marketing analysis, product performance, customer behavior analysis, and business operations.
· Build and maintain recurring and ad-hoc dashboards/reports using business intelligence tools.
· Translate business questions into analytical tasks and deliver clear, data-driven answers and recommendations.
· Support root cause investigations for anomalies and contribute to continuous improvement of reporting accuracy.
· Collaborate with data engineers, product managers, and other teams to ensure smooth data pipeline and reliable reporting.
· Demonstrate good stakeholder management, with a proven ability to oversee and deliver multiple projects simultaneously.
· Support the integration of AI tools (e.g., LLMs) into reporting and analysis workflows under guidance from senior team members.
· Document metrics definitions, dashboard logic, and report processes for consistency and transparency.
Key Qualifications:
· Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
· 3+ years of experience in data analysis or business intelligence roles.
· Proficiency in SQL and experience with one or more data analysis tools (Python, R, or Excel).
· Hands-on experience with data visualization tools like Tableau, Power BI, or QuickSight.
· Strong analytical thinking, attention to detail, and ability to manage multiple tasks.
· Clear communication skills with the ability to work across business and technical teams.
Nice to Have:
· Exposure to data analytics, payment systems, or fintech industry.
· Familiarity with basic AI/ML concepts or tools such as ChatGPT, embeddings, or prompt design.
Experience working in a cloud-based data environment (AWS, GCP, or Azure).
Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.
Are you game?
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