Why complete this job simulation

A risk-free way to experience work on the job with us at Commonwealth Bank. Practice your skills with example tasks and build your confidence to ace your applications.

Welcome to the Commonwealth Bank Introduction to Data Science Virtual Job Simulation! We are so excited to have you here!

Our scale means unparalleled opportunity to accelerate digital innovation and positively impact customers. We’ve got some incredibly important and complex problems to solve. As Australia’s leading technology bank, we process millions of transactions every day. Around 40% of all payments made by Australians go through our systems. Whether you’re designing the apps people hold in their hands or the systems they’re delivered through, you’re determining how more than 17 million customers access their money. Your work matters.

During this program, you will get the opportunity to step into the shoes of a Commonwealth Bank team member and complete tasks that replicate the work that our data science team does every day. You’ll learn how to aggregate and analyze data, anonymise personal data, explore data insights that can be unlocked with social media, and design a database.

We hope this program provides a great resource for you to up-skill and strengthen your resume as you explore career options and a potential career at Commonwealth Bank!

Skills you will learn and practice:
Statistics
Data Analysis
Excel
Data Privacy
Data Management
API Development
Database Design
Database Documentation
Data Architecture

How it works

Complete tasks guided by pre-recorded videos and example answers from our team at Commonwealth Bank. No live sessions, all self-paced.
Earn a certificate and add it to your resume and LinkedIn as an extra curricular activity.
Stand out in applications. Confidently answer interview questions and explain why you’re a good fit for our team.
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Tasks in this program

Task One: Data Aggregation and Analysis
30-60 mins
Create a data engineering pipeline to aggregate and extract insights from a data set
What you'll learn
  • Understand the importance of data engineering and analysis in a long-term data-focused vision.
  • Gain experience in using real-world transactional data for analysis.
  • Learn to perform data analysis and answer specific questions based on the dataset provided.
What you'll do
  • Analyze the "CSV Data Set" of supermarket transactions to address key questions.
  • Document the analysis process, including formulas used, using spreadsheet software.
  • Submit the analyzed file for review.

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