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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

Remote or Hybrid
EST timezone

Analytics Engineer

Full Time

Tell us a bit about yourself by filling out the form below and a member of our team will get back to you soon.

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