About Us
We’re a seasoned team of strategists, industry experts, designers, engineers, and data experts who know what it takes to grow retail and how to push things forward.
With deep roots in the industry, we connect people, systems, and experiences, leveraging cutting-edge data engineering, AI solutions, and advanced software and hardware to help retailers move faster, scale smarter, and deliver real results.
From brand to backend, and from data architecture to AI-powered insights and hardware integration, we build with intention; so every part of your retail business works better, together
About the Role
Retailogists is looking for an Analytics Engineer to join our engineering team to work with one of our key clients. You’ll own the design, delivery, and optimization of business-critical dashboards that turn data into action.
Responsibilities
Build and maintain scalable, high-impact dashboards in AWS QuickSight
Create and optimize datasets using S3, Athena, and Redshift
Administer QuickSight (users, security, permissions, cost controls)
Ensure data quality, accuracy, and performance across dashboards
Collaborate with data engineers, analysts, and product teams in an agile setup
Contribute to analytics standards, documentation, and best practices
Work on other interesting projects with different tech stacks
Remote or Hybrid (offices in Montreal and Toronto)
Must work in Eastern Time
Qualifications
2–3 years in analytics engineering or dashboard development
Excellent SQL skills with an ability to translate ambiguous data requests into precise queries
Strong hands-on experience with AWS QuickSight
Solid understanding of AWS data services (S3, Athena, Redshift)
Experience with dashboard UX, data visualization, and storytelling
Comfortable translating business needs into reliable analytics solutions
Clear communicator and strong team collaborator
Experience with using modern Gen AI in engineering workflows (for example: Cursor, Claude, etc.)
Nice to have
Retail, fashion, or wholesale experience (ERP / supply chain a plus)
Background in agile product or academic/industry collaborations
Bachelor’s or Master’s degree in Data Science / Analytics, Computer Science or any related field