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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 :Support business decision-making through data analysis, dashboard creation, and machine learning. Use SQL, Python, and Power BI to automate reports, uncover insights, and optimize forecasting models. Gain hands-on experience in analytics, data infrastructure, and cross-team collaboration.Job Responsibilities:
- Drive business insights through comprehensive data analysis of key metrics (revenue, customer behaviour, marketing performance), utilizing SQL and Power BI to create automated reports and visualizations for stakeholder decision-making.
- Design and optimize machine learning models for predictive analytics while working with large datasets to identify patterns and validate hypotheses for improved business outcomes.
- Enhance data infrastructure by optimizing processes, maintaining documentation, and implementing best practices in data analysis, while providing training and knowledge transfer across teams.
Pre-Requisites:
- Currently pursuing a Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, or related field.
- Strong programming fundamentals with proficiency in SQL and Python, including experience with database operations.
- Hands-on experience with data visualization tools (PowerBI or Tableau) and basic understanding of statistical analysis and machine learning concepts.
- Demonstrated analytical and problem-solving abilities with strong attention to detail.
- Excellent interpersonal and team collaboration skills with proven ability to meet deadlines.
Good to have:
- Previous internship or project experience in data analysis.
- Hands on experience in leveraging database and data query technologies (e.g. Redshift, PostgreSQL, Snowflake, etc).
- Experienced with Python libraries such as NumPy, Pandas, scikit-learn.
- Experience with data pipeline tools and ETL processes.
- Strong communication and presentation skills.
Learning Outcome:
- The Intern will gain a comprehensive understanding of how data analytics, machine learning, and process optimization can drive growth and improve customer engagement.
- This will also enhance intern ability to leverage data effectively, improve business performance, and support strategic decision-making within an organization.
Key Projects/ Deliverables and ROI
- New dashboard development for analysis of customer purchase behaviour that can help business teams to define future strategies
- Automation of existing reporting processes to reduce manual effort and risk of data discrepancies, improving reporting efficiency
- Optimize machine learning algorithms for revenue forecasting to improve accuracy and help in decision making
Are you game?
Razer Singapore Office
1 One-north Cres, Singapore, 138538
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
