Referred applicants should not apply directly to this role.
All referred applicants must first be submitted through Workday by a current Loblaw Colleague.
Come make your difference in communities across Canada, where authenticity, trust and making connections is valued \xe2\x80\x93 as we shape the future of Canadian retail, together. Our unique position as one of the country\'s largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well\xc2\xae.
At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.
Does working with some of Canada\xe2\x80\x99s most versatile minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology & Analytics powers game-changing retail solutions, giving our customers the ability to live their lives well.
Come work with a team that values diverse ideas, prioritizes a culture of inclusion and develops our talent from within. Loblaw Technology & Analytics gives you the chance to excel and helps you to strive for success in a big way. Keep reading to learn more!
Data Analyst, Data Engineering
Location: 1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5, ON
The Data Engineering team at Loblaw is seeking a Data Analyst with background in data analytics, cloud and relational databases. We are currently in the process of modernizing the data infrastructure onto cloud technologies to unlock the value of our data and drive richer insights to our business partners
As the Data Analyst, you will have the opportunity to support large data initiatives by applying their expertise in acquiring, analyzing and manipulating data to identify insights and data patterns. Candidate will be responsible for crafting and maintaining data requirements, transformations and system documentation.
What You\'ll Do:
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