Job Title: Senior Analytics Engineer, Workbench Primary Job Location: Toronto (Hybrid: 3 days per week in our Toronto office) Employment Type: Full-Time Immediate Team: Crossdock Studios, working primarily on Workbench alongside Product, Engineering, and Operations Research. 125,000 - $155,000 CAD base per year 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. Workbench is our warehouse design platform, built inside CrossDock Studio, FIQ's product studio.

We are a small team building a genuinely new product, not maintaining a mature system. You will build the data processing and analytics engine underneath Workbench. This part of the platform is responsible for ingesting customer data that comes in inconsistent shape and format, and turning it into clean, standardized, product-ready datasets on which repeatable analytics workflow can be conducted.

This is a coding role: your deliverable is code, not data. You will write the data ingestion, transformation and imputation logic, build it so it runs automatically against data we have never seen, and produce the metrics and prototypes that our industrial engineers and product team ask for. Develop and deploy code that ingests, cleans, reconciles, and standardizes large, heterogeneous customer supply chain datasets, and do it in a way that holds up when the next customer's data looks nothing like the last.

Turn raw data files into the standardized order, inventory, and shipment datasets that Workbench is built on. Find the patterns across customers and build the automation that handles them generically. Produce the metrics, segmentations, and analyses the industrial engineers and product team need, by writing the code that computes them, not by working a spreadsheet.





Build data visualization demos and prototypes so the team can see what an analysis looks like before engineering builds the production version. Hand your transformation and analytics code to the engineering team in a state they can take to production and stay the owner of the data logic underneath it. Lean hard on AI coding tools to move fast and own every line they produce.

If you cannot read it, debug it, and defend it, it does not ship. AI tools are welcome and expected, but the moment the AI is wrong you need to read the error, understand the data, and fix it yourself. We work with real, industry data with lots of mismatched SKUs, missing fields, and inconsistent formats.

Manual analysis is the means, not the end. You sit between the data and the engineers. Excel and Power BI are not the tools for this seat. If they are your primary way of working with data, you will find this role frustrating and we will not be able to move fast together.

You start by owning the data and analytics engine inside Workbench, and there is real room to grow into data-product ownership and into shaping how the whole platform makes sense of supply chain data. Tell us what you want to build and we will help you get there. How you think about data, code, and supply chain, and whether we can make each other better.

Technical. You are welcome to use AI tools, on screen, and you will be expected to own what they produce. Fluency in Python and tabular analytics at scale, proven on messy, real-world data.

Experience with tabular data tools like SQL, Polars or Arrow. The habit of using AI coding tools to go rapid while genuinely owning the output. You can read the code, catch when it is wrong, and fix it.

Enough visualization judgment to say what to show and how, even though you will not build the front end. A Bachelor's in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field,



or equivalent proof you can do the work. Bonus points Supply chain, logistics, warehouse, fulfillment, or order-management data experience.

Experience building analytics capabilities that shipped into a product, rather than internal reporting. Comprehensive health and dental coverage for you and your family Time Off: Competitive paid time off and flexible leave policies Retirement: Retirement savings programs and employer contributions Flexible Work: Hybrid work options Equipment allowances, internet reimbursements, business travel coverage, and employee stock options (ESOP), where applicable.

Community Engagement: Team events, meetups, and company offsites Use of Artificial Intelligence in Hiring: FIQ uses artificial intelligence toassistin the screening, assessment, and shortlisting of applications for this position, including features within our applicant tracking system. AI supports human reviewers and does not make hiring decisions on its own. If you have questions about how AI is used in this process, contact [email protected] with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available on request at any stage of recruitment and assessment.

Your personal information is collected and used for recruitment purposesin accordance withFIQ'sCandidate PrivacyNotice, available here, andin accordance withapplicable Canadian privacy law (PIPEDA). This includes the use of AI-assisted screening described above and cross-border storage or processing that may occur in the United States. We are proud to be an equal opportunity employer and are committed to building a diverse, inclusive, and high-performing workplace.

We consider all qualified applicants without regard to any ground protected under the Ontario Human Rights Code, including race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, or disability.

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📌 Senior Analytics Engineer, Workbench (Toronto)
🏢 Fulfillment IQ
📍 Toronto