Ecommerce Data Analytics Intern

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 Ecommerce Data Analytics Intern will primarily be involved in data science, analytics and process improvement responsibilities

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. 

Pre-Requisites :

Are you game?