Quantium | Data Analytics

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.

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 our 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!

Skills you will learn and practice:

Data validation

Data visualisation

Data wrangling

Programming

Data analysis

Commercial thinking

Statistical testing

Presentation skills

Communication skills

How it works

Introduction from

Hear Raechel Gavin, Group Executive, People & Culture at Quantium, introduce the program.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 11250

5 Star Reviews

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"Really insightful! I have gotten a better idea of how retail analytics can be applied into real life case scenarios."-- Student from Singapore Management University

"It was an amazing first-step into real-world data analytics and I think there couldn't have been a better way for me to familiarize myself with the working and mindset required when analyzing and coming up with recommendations to real-life problems. It was an empowering and informative experience. Thank you Quantium for this opportunity!"-- Student from Vellore Institute of Technology

"I appreciated the hands-on experience with real-world data and the opportunity to enhance my skills in R and Python. The program's focus on generating actionable insights and commercial recommendations was highly engaging. Overall, it provided a realistic and valuable glimpse into the data science work at Quantium."-- Student from My institution is not listed

"These type of mini projects really help in gaining real world experience and grow confidence. Thanks for making such a wonderfully crafted Job Simulator."-- Student from Jain University Centre for Management Studies

"This is the perfect program for me. I feel I am really the part of Quantium data analytical team. I discover how the MNC company complete there task."-- Student from Savitribai Phule Pune University

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