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 :

This 6-month Data Analytics and Product Support Intern role at Razer supports the full product lifecycle from pre-launch through end-of-life, with responsibilities spanning consolidating and analyzing data from multiple sources using SQL/JQL and statistical techniques, building Power BI dashboards and ad-hoc reports and presentations, using AI tools to spot trends in RMA data and gauge whether product improvements are working, and assisting engineers with NPI Return-to-Engineering operations and automation along the way the intern gains hands-on exposure to the SDLC for gaming hardware and software, cross-functional collaboration across regions, and practical skills in data analysis, dashboarding, and AI-driven productivity tools, while the role is open to students currently pursuing a diploma or bachelor's degree in mathematics, statistics, computer science, engineering, business analytics, data science, IT, or a related field, provided they bring SQL/JQL exposure, intermediate-to-advanced Excel/Sheets and presentation skills, strong attention to detail, and a proactive, self-starting, deadline-driven working style.

Joining Razer means being part of a global mission to revolutionize how the world games. Here, you'll have the opportunity to create meaningful impact while collaborating with teams across 5 continents. Razer provides a unique, gamer-centric #LifeAtRazer experience where you'll grow both personally and professionally in a dynamic, fast-paced environment.

Job Responsibilities

Support the team across the full product support lifecycle, from pre-launch through to End-of-Life (EOL).
Use SQL or JQL to extract and analyze issue data, and prepare Power BI dashboards and reports that give internal stakeholders clear insight into issue trends.

Consolidate relevant data from multiple sources and databases, and interpret it using statistical techniques.
Create ad-hoc reports and presentations that visualize data for stakeholders.
Identify relevant trends, explore associations in the data, perform follow-up analysis, and prepare visualizations.

Use AI tools to analyze RMA data, surface recurring issues, and assess whether product improvements are effective by tracking RMA patterns over time.
Assist Engineers with NPI RTE (Return to Engineering) operations.
Apply AI to automate and streamline the RTE process.
Maintain clear documentation of findings, workflows, and learning outcomes.

Learning Objectives

Gain hands-on experience supporting products in a global, fast-moving tech environment.
Collaborate with cross-functional business and technical teams across regions.
Develop a practical understanding of the Software Development Life Cycle (SDLC) for gaming hardware and software.
Strengthen skills in SQL / JQL, data analysis, Power BI dashboards, and issue trend reporting.

Build practical skills in exploring associations in data and communicating insights through presentations and visualizations.

Learn how AI tools and automation can enhance product support efficiency and customer experience.
Cultivate a proactive self-learning mindset, including researching solutions independently and leveraging available technologies.
Gain deeper exposure to the gaming industry and Razer's role as an industry leader.

Pre-Requisites

Pursuing or holding a Diploma or Bachelor's Degree in Mathematics, Statistics, Computer Science, Software Engineering, Information Technology, or a related field.
Experience with SQL or JQL, and intermediate to advanced skills in MS Excel / Google Sheets and presentation tools.
Coding experience in Python, plus working knowledge of Power BI (DAX) and Power Query (M language).
Willing to learn and try AI-based productivity and support tools (training and guidance will be provided).
Strong communication, analytical, and problem-solving skills.
Sharp attention to detail, with the ability to spot patterns and trends and explain them clearly.
Proactive and collaborative, and adapts well to changing priorities and ad-hoc requests.
Process-oriented, and able to prioritize and multitask to meet deadlines.
Able to commit to a 6-month internship.

Pre-Requisites :

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.

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