Supply Chain Data Analyst

Fulfillment IQToronto, ON
CA$85,000 - CA$110,000Hybrid

About The Position

Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations. We work at the intersection of strategy, supply chain, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution. Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate time-to-value and reduce delivery risk. If you enjoy working in complex environments, partnering closely with clients, and seeing your work make a tangible impact on how global commerce moves, this is the place where your skills and judgment truly come to life. You will drive the data analytics capabilities of Workbench, FIQ’s warehouse design platform, by automating the processing, cleaning and analysis of large datasets from warehouse and logistics operations. You will bring a data-centric and product-oriented mindset to Workbench, working hand-in-hand with our domain experts and software engineering team. As a result, you will help turn data-driven insights into product features that automate time-consuming and error-prone tasks which, today, are mostly performed manually in spreadsheets.

Requirements

  • Supply chain or logistics domain experience. We would rather have someone who knows the operation and can pick up the data tools than a strong analyst who has never seen supply chain data.
  • Fluency with at least one tabular-data tool (e.g. pandas, Polars, Arrow). You have worked with real, messy data end to end, not just tidy classroom sets.
  • The business sense to see the repeated pattern and turn it into a clear ask for an engineering team, and the communication to present it well.
  • Enough visualization judgment to say what to show and how, even though you will not build the front end.
  • A Bachelor's in Data Science, Statistics, Industrial Engineering, or a related quantitative field. We care more about how you think and your domain than your exact number of years.
  • Applicants must be legally authorized to work in Canada.

Nice To Haves

  • Warehouse, fulfillment, or order-management operations exposure.
  • Experience working shoulder to shoulder with a product or engineering team.
  • Tableau or Power BI, or GPU dataframe tooling.

Responsibilities

  • Process, clean and analyze large customer supply chain datasets, for example a year of 3PL order data, and extract relevant insights that can be turned into valuable decisions.
  • Identify patterns and similarities across heterogeneous datasets and consolidate and automate our data analytics capabilities across our customer base.
  • Identify which analyses matter most and how it should be presented, be it a metric, a graph, or something else. While you will not be expected to build production-grade UI components, you will develop data visualization demos and prototypes.
  • Help get Workbench to the point where users answer most of their own data questions inside the platform instead of in a spreadsheet, in a fraction of the time it currently takes them.
  • Lean hard on AI to move fast through the execution and spend your judgment on what is worth automating. We are a small but mighty team, and that is our DNA.

Benefits

  • Comprehensive extended health and dental coverage for you and your family
  • Employee wellness programs where applicable
  • Competitive paid time off, sick leave, and public holidays
  • Flexible leave policies that respect local labour standards
  • CPP contributions and a group retirement savings plan with employer contributions
  • Employee stock options (ESOP), where applicable
  • Dedicated learning and development budget, with support for skills, leadership, and career progression
  • Remote and hybrid work options, flexible hours aligned to role and client needs
  • Equipment and workstation allowances, internet and business travel reimbursements, team events and offsites
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