About the job
SummaryBy Outscal
Data Analyst Intern at Razer, Singapore. Optimize and maintain data transformation code using SQL, Redshift, dbt, and Apache Superset. Leverage AI tools like Amazon Q and ChatGPT. Collaborate with teams and gain hands-on experience in data analytics.
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 leverage AI tools such as Amazon Q, ChatGPT, and other new AI technologies to enhance data analysis and support employees’ productivity.
Key responsibilities include:
- Collaborate with teams to identify opportunities for AI-driven improvements.
- Utilize AI tools like Amazon Q, ChatGPT, and other emerging AI technologies to improve productivity of employees.
- Enhance and maintain existing data transformation processes using SQL, Redshift, and dbt.
- Utilize Apache Superset to create and maintain insightful dashboards for various business units.
- Work closely with different teams to understand their data requirements and deliver comprehensive data analyses.
- Maintain the accuracy and integrity of data used in analysis and transformation.
- Document methodologies and results to facilitate knowledge sharing within the team.
Learning Objectives
- Gain hands-on experience in optimizing and maintaining data transformation processes.
- Learn to apply cloud computing in data transformation and analytics.
- Understand the impact of efficient data processing on business decision-making.
- Develop skills in using AI tools to enhance data analysis and support employee tasks.
Learning Outcome
- Mastery in using SQL, Redshift, and dbt for data transformation and optimization.
- Understanding of best practices in data transformation and analytics.
- Experience in creating and maintaining dashboards using Apache Superset.
- Skills in translating business requirements into actionable data insights.
- Proficiency in leveraging AI tools for data analysis and employee support.
Pre-Requisites :
Requirements :
- Ability to work independently with a problem-solving approach.
- Strong skills in using SQL, Redshift, and dbt for data transformation.
- Proficiency in using Apache Superset.
- Familiarity with AWS or GCP cloud platforms.
- Passion for data analytics and data transformation.
- Ability to communicate effectively for cross-team collaborations.
- Basic understanding of AI tools like Amazon Q, ChatGPT, and other emerging AI technologies.
Are you game?