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Razer

Senior Data Analyst

Reposted 11 Hours Ago
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Remote
Hiring Remotely in South
Senior level
Remote
Hiring Remotely in South
Senior level
Develop and maintain automated financial reports using AI-driven methods, enhance ETL processes, and collaborate across teams to implement reporting solutions.
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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.

Job Responsibilities :

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 experience that will put you in an accelerated growth, both personally and professionally.
As a Senior Data Analyst, you will be responsible for conducting data analysis, building dashboards and reports, supporting business domains like business performance, product optimization, and helping drive business insights across teams. You will collaborate closely with stakeholders from finance, product, and marketing to understand data needs and deliver actionable findings. This role will also expose you to AI-related tools and workflows as part of our innovation roadmap.

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.
  • 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.

Pre-Requisites :

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?

Top Skills

Airflow
AWS
Azure
Dbt
GCP
Hadoop
Power BI
Presto
Python
PyTorch
Quicksight
Scikit-Learn
Spark
SQL
Tableau
Talend
TensorFlow

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