Quantium | Data Analytics

Hiring Now

Get Career Ready

Complete work that simulates life on the job. 4-5 hours and self-paced.

Stand out in your application to Quantium. Show us you're a motivated candidate.

Hiring Now

Get Career Ready

Complete work that simulates life on the job. 4-5 hours and self-paced.

Stand out in your application to Quantium. Show us you're a motivated candidate.

Why complete this job simulation

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

Self-paced4-5 hoursNo gradesNo assessmentsAdvanced

Founded in 2002, Quantium has a long history of innovation in data science across all sectors of the economy. As a rapidly growing global leader in data science and AI, we are dedicated to growing our team of ambitious, diverse, and fun employees! Our team of employees work together to harness the power of data to drive revolutionary change that benefits us all and deliver the best results for our clients.

Through this program, you will act as a data analyst at Quantium and take part in the challenging but fun work our data analysts do daily! You will learn practical skills such as data validation, data visualisation, statistical testing and more. After completing each module, you will be able to compare your work with real model solutions created by the Quantium team for a chance to learn directly industry leaders.

We are so thrilled to be a part of your career journey and hope that this virtual job simulation will give you a glimpse of life at Quantium. Start our self-paced program today and showcase your unique talents!

Hiring Now

Graduate Data Engineer | AU

Graduate Data and AI Analyst | AU

Skills you will learn and practice:

Data Validation

Data Visualization

Data Cleaning

Programming

Data Analysis

Commercial Thinking

Statistical Analysis

Presentation Skills

Communication Skills

How it works

Introduction from Quantium

Hear Raechel Gavin, Group Executive, People & Culture at Quantium, introduce the simulation.Explore Our Job Sims

Tasks in this program

Task One: Data preparation and customer analytics

1-2 hours

Advanced

Conduct analysis on your client's transaction dataset and identify customer purchasing behaviours to generate insights and provide commercial recommendations.

What you'll learn

Understand how to examine and clean transaction and customer data.
Learn to identify customer segments based on purchasing behavior.
Gain experience in creating charts and graphs to present data insights.
Learn how to derive commercial recommendations from data analysis.

What you'll do

Analyze transaction and customer data to identify trends and inconsistencies.
Develop metrics and examine sales drivers to gain insights into overall sales performance.
Create visualizations and prepare findings to formulate a clear recommendation for the client's strategy.

Reviews

Over 13800

5 Star Reviews

"I enjoyed this program a lot however the second task was a bit tedious and I wish the instructions were a bit more clear especially when it came to defining functions. I performed this task in Python so perhaps that could have been why."-- Student from New Jersey Institute of Technology

"Quantium’s Job Simulation has been incredibly valuable in strengthening my technical skills and enhancing my understanding of analytical frameworks, equipping me with practical insights to apply in future analytics roles."-- Student from University of Technology Sydney

"What an insightful project to work on! Thank you Quantium team, I really enjoyed working on this program!"-- Student from Monash University

"Quantium really shows how to management product in a most efficient way. and I'm really thankful that I get to learn and experience this of task even it is really difficult."-- Student from St. Anthony's College - Antique

"I really appreciated how the Quantium Job Simulation blended real-world retail data with practical business questions. It wasn't just about writing code—it encouraged critical thinking, data storytelling, and making commercial decisions based on insights. The structured yet open-ended format gave me a taste of how data science is applied in a busin..."-- Student from MIT World Peace University

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