Data Analyst Co-Op

Toronto, Canada

Kinaxis logo
Apply now Apply later

Posted 1 month ago


At Kinaxis, who we are is grounded in our common belief that people matter. Each one of us plays an important part in accomplishing our work, building our culture and making a global impact.

Every day, we’re empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform RapidResponse ensures that the products we need – everything from medicine and cars, to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint.

We make the world better, and you can too.

Data Analyst Co-op

Job location: Toronto, Canada

Term Length: 4 Months

About the team

The Analytics team is a part of the former Rubikloud company (recently acquired by Kinaxis), a machine learning software as a service company focused on solving complex problems for CPG and Retail clients in the planning and promotional space. We want to transform the way our clients make business decisions. As a data analyst co-op, you will be part of the team that tackles this challenge in collaboration with Data Analysts, Data Scientists, Engineers and Product and Project Managers.

What you will do

  • Extract, transform and analyze data to answer key business questions and assist with product and model development
  • Compile insights and analyses into Excel, PowerPoint, or other formats as required with clear visualizations to convey complex concepts and data to non-technical audiences
  • Understand the delivery deployment process and challenges that our clients’ face, which can be better understood through wrangling and exploring their data
  • May perform additional projects upon request

What we are looking for

The ideal candidate will be a self-starter and use their passion for big data and analytics to provide insights around CPG and Retail businesses covering a range of topics. You will be responsible for conducting both recurring and ad hoc analysis internally and for our clients. If you love solving complex problems, analysing complex datasets, finding insights from data, and learning new technologies, this role is for you. You also meet the following requirements:

  • Proficient in SQL with hands-on experience with relational databases
  • Experience in Python is preferred but not required
  • Proficient working with Microsoft Office suite
  • Great communication skills
  • Analytical aptitude
  • Strong problem-solving skills
  • Excellent attention to detail
  • Previous experience working in fast paced environments
  • Studying Mathematics, Computer Science, Computer/Electrical Engineering, or related fields

Things that Would Definitely Help

  • Understanding of data science terminology
  • Experience working with major cloud technologies (AWS, Azure, and GCP)
  • Retail, E-Commerce, CPG or Supply Chain business background

What We Have to Offer

  • Challenging Work - We love solving highly complex problems. And as the global leaders in our industry, we never stop innovating—our work is never “done. That’s because across our teams and in all roles, every employee is empowered to bring their best ideas forward and to jump in and solve the problems they’re passionate about.
  • Great People - We take our work seriously, but we don’t take ourselves too seriously! It’s in our DNA to celebrate, laugh, and have fun. We are stronger, together, when we are open, honest, and above all, real. Every person is valued here and plays an important role in our shared success.
  • Global Impact - As a global team spanning continents, boundaries, and cultures, every day we are inspired by the impact our work has on our colleagues, our customers, our communities, and the world at large.
  • Diversity, Equity and Inclusion - Diversity, equity and inclusion are more than words to us. They are the guiding principles for building a culture where we celebrate each others’ differences, continuously strive for equality and recognize that inclusion makes us stronger as individuals, a company and a global citizen.
For more information, visit the Kinaxis web site at or the company’s blog at   

Kinaxis strongly encourages diverse candidates to apply to our welcoming community. Accommodations are available upon request for applications in all aspects of the recruitment process. If you require accommodation, please contact Human Resources at



Job tags: AWS Big Data Engineering Machine Learning Python SQL
Job region(s): North America
Share this job: