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 & AI Analyst | South Africa

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 14900

5 Star Reviews

"“I liked how the simulation allowed me to work on real-world retail analytics problems, from cleaning and analyzing transaction data to generating insights and recommendations. It gave me hands-on experience with customer segmentation, experiment analysis, and presenting findings in a professional format, which made the whole process very practical..."-- Student from Guru Gobind Singh Indraprastha University

"I learned a lot while working on Customer Segmentation and Visual Report preparation on Quantium Data Analytics Virtual experience program. Thanks to Quantium Team and InsideSherpa."-- Student

"I liked how the simulation provided a realistic business analytics experience by combining data interpretation, problem-solving, and strategic decision-making. It was practical, engaging, and helped me understand how data can be used to drive real commercial outcomes."-- Student from KLE Technological University

"From this project, i understand how to write a good form of presentation and how to process data using R, i also learned how to use brief codes to solve some related questions. Thanks"-- Student from Australian National University

"This simulation was very useful and practical. I enjoyed all three tasks as each one covered a different aspect of data analytics, allowing me to gain new knowledge and skills at every stage. The progression from customer analytics to trial store analysis and finally to client reporting made the learning experience well rounded and highly relevant..."-- Student from Auckland University of Technology

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