Razer

Data Analyst Intern

Bangsar South
Power BI SQL Python DAX Power Query pandas scikit-learn PyTorch AWS
Description

Data Analyst Intern

Location: Bangsar South

Time Type: Full time

Job Description

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 :

The Data Analyst Intern will support the team in designing and maintaining Power BI dashboards, analyzing business data, and automating reporting processes. This role involves close collaboration with business stakeholders to translate requirements into actionable insights, optimizing SQL queries for data management, and contributing to projects across analytics, ETL, and machine learning. The ideal candidate is detail-oriented, analytical, and eager to improve data processes and business reporting efficiency.
  • Assist in the creation and maintenance of Power BI dashboards to visualize key business insights and track performance across multiple business domains.

  • Collaborate with internal stakeholders to gather requirements, understand analytical objectives, and develop effective dashboard solutions.

  • Analyze data to identify trends, patterns, and actionable insights that support strategic decision-making.

  • Write and optimize SQL scripts for data extraction, transformation, and manipulation across large and complex datasets.

  • Support ongoing data and AI research initiatives, including:
    - Evaluating ChatBI / LLM-to-SQL tools
    - Exploring automated dashboard commentary and data quality monitoring
    - Assisting with AI-driven exploratory analyses (e.g., revenue deep-dives, anomaly detection)

  • Document analytical processes, experiments, and findings to maintain knowledge continuity for AI and automation projects.

  • Coordinate with technical teams to understand data flow, system dependencies, and limitations related to sourcing and transforming data.

  • Participate in continuous improvement and innovation initiatives to modernize reporting, automate routine analytics, and enhance data accessibility for business users.

Pre-Requisites :

  • Currently pursuing a Bachelor’s Degree in Computer Science, Data Science, Business Analytics, Information Systems, or a related field.

  • Basic proficiency in SQL and Python for data extraction, transformation, and analysis.

  • Familiarity with data visualization tools such as Power BI (knowledge of DAX or Power Query is a plus).

  • Strong analytical and problem-solving skills, with the ability to interpret data and present clear, concise insights.

  • Excellent communication and interpersonal skills, both written and verbal.

  • Exposure to ETL processes, data modeling, or basic data pipeline development is a plus.

  • Understanding of AI concepts or experience with Python data/ML libraries (e.g., pandas, scikit-learn, PyTorch, or LLM API usage) is a plus.

  • Familiarity with cloud platforms (e.g., AWS) is a plus.

  • Curiosity and willingness to experiment with new automation and AI techniques to improve analytics workflows.

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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