Data Analyst Intern

Razer

Singapore
Training
Full-time

1 month ago

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 :Looking to join a global mission to revolutionize the gaming world? Join Razer, where you'll work with a global team located across 5 continents and enjoy a unique, gamer-centric #LifeAtRazer experience. As part of Team Razer, your phenomenal performance will be well rewarded, and your professional development will be a priority. You'll be responsible for integrating e-commerce cloud platforms, automating manual tasks, and assisting in data migrations. We're seeking a highly analytical and detail-oriented intern to join our team as a Data Analyst Intern.

Integration of ecommerce cloud platforms (Tealium, Salesforce Marketing Cloud, Google Analytics 4)
Write complex and efficient queries and materialized views, thereby translating them into valuable visual insights through Quicksight/Tableau/PowerBI.
Assist in data migrations from different silos into a consolidated cluster in Amazon Redshift
Automate existing manual tasks by utilizing Power Automate, Alteryx, Superset, SAP
Install database systems by developing flowcharts, applying optimum access techniques, coordinating installation actions and document actions.

Learning objective:

To be able to connect the e-commerce data, find where the data comes from and transform it into usable datasets that will enable business analysis to work on their analytics.
Able to understand real world situations of how data are being handled in an enterprise environment and navigate through different systems to be able to identify and fix data pipelines.

Pre-Requisites :

Bachelor’s degree required: Computer Science, Engineering, Statistics, Mathematics, or relevant field
Knowledge of at least 1 of the following Programming Languages (Python, C++, SQL)
Strong understanding of time-complexities
Experience, knowledge & proficiency in reporting tools (e.g. Excel, Data Studio) and BI visualization software (e.g. Power BI, Tableau, etc)
Ability to create and integrate APIs, understand data pipelining and performance optimization
Fluent command of English (Spoken and written)
Excellent interpersonal skills & strong team plater with ability to meet timelines

Good to have:

Experienced with python libraries such as numpy, pandas, sci-kit learn
Hands on experience in leveraging database and data query technologies (e.g. PostgreSQL, Snowflake, Redshift, etc)
Experience with Google Analytics 360/4 (Funneling/Segmentations/Tagging)

Are you game?

Razer

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