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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 :The Data Analyst Intern will play a pivotal role in optimizing and maintaining current data transformation code across various SWBU teams. Emphasis will be on working with SQL, Redshift, dbt, and Apache Superset to ensure efficient and accurate data processing and visualization. Additionally, the intern will explore methods to seamlessly integrate data from diverse sources, supporting cross-functional analytics and decision-making. Leveraging AI tools and innovative techniques will further enhance data analysis and employee productivity.Main Responsibilities
Collaborate with cross-functional teams to identify opportunities for AI-driven workflow and productivity improvements.
Use AI tools to enhance employee productivity and support data-driven decision-making.
Build, optimize, and maintain data transformation pipelines using SQL, Redshift, and dbt.
Integrate and analyze data from multiple, disparate sources to deliver comprehensive insights.
Develop and maintain dashboards in Apache Superset for various business units.
Work closely with stakeholders to gather requirements and translate them into actionable data analyses.
Ensure data accuracy, integrity, and clear documentation across all workflows.
Requirements
Strong proficiency in SQL, and experience with Redshift and dbt.
Skilled in building dashboards using Apache Superset.
Familiarity with AWS or GCP cloud environments.
Ability to integrate and analyze multi-source datasets using structured methodologies.
Independent, problem-solving mindset with strong attention to detail.
Passion for data analytics, transformation, and AI-driven solutions.
Basic understanding of AI tools and their application in improving productivity.
Learning Objectives & Outcomes
Gain hands-on experience building, optimizing, and maintaining data transformation pipelines.
Learn advanced techniques for integrating and analyzing datasets from multiple sources and understand how these insights impact business decision-making.
Develop practical skills in applying AI tools to improve analytical workflows and employee productivity.
Build proficiency in creating and maintaining dashboards with Apache Superset.
Strengthen your ability to translate business requirements into actionable insights while following best practices in data analytics and transformation.
Are you game?
Razer Singapore, Singapore, SGP Office
Singapore, Singapore
