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Ecommerce Data Analytics Intern

Ecommerce Data Analytics Intern

1 Month ago • All levels • Data Analyst

About the job

12 skills required for this role

Test your skills to join the top 1% applicants for this job

pandas

data-visualization

python

sql

scikit-learn

numpy

data-science

tableau

power-bi

data-analytics

postgresql

presentation-skills

Job Description

Ecommerce Data Analytics Intern at Razer in Singapore. Must have strong SQL and Python skills, experience with data visualization tools, and solid analytical skills. Ideal candidate will have prior data analysis experience and familiarity with Python libraries like NumPy, Pandas, and scikit-learn.

Must have:

SQL proficiency
Python experience
Data visualization
Analytical skills

Good to have:

Data analysis
Python libraries
Database tech
ETL processes

Perks:

Global mission
Gamer-centric culture

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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 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.