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Razer

Senior Data Analyst

Razer is hiring a Senior Data Analyst. Level rates it ; you can apply on Razer.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this data analyst role: an ordinary role that requires AI tools.
  • Tools and skills the posting cites include ChatGPT, Claude and prompt engineering.
  • Level classifies it as a senior role.
  • Level lists 148 other open roles at Razer.

AI in this role

chatgptclaude
prompt-engineering

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/ 工作职责 :

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 reports and dashboards, supporting business domains like business performance, product optimization, and helping drive business insights across teams. You will collaborate closely with stakeholders from finance, sales, BD and other business owners 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 financial analysis, payment analysis, marketing analysis, product performance, customer behavior analysis, and business operations.
  • Build and maintain recurring and ad-hoc reports/dashboards using business intelligence tools or other automation 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/ 任职要求 :

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, Claude, 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?

How we rate this

Senior Data Analyst at Razer rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringChatGPTClaude

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$111k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. Walk me through how you've used ChatGPT in your day-to-day work.
  3. What are the limits of Claude that you've run into, and how did you work around them?
  4. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  5. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, ChatGPT, and Claude. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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