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Added 17 days ago
T
Senior Manager, Analytics and Insights
TD
Toronto, ON
- Full-time
Reporting directly to the Vice President, Resilience Management within Protect Platform, the Senior Manager, Analytics and Insights will provide value-added support to effectively and…
Added 17 days ago
NB
Student Intern
National Bank of Canada
Richmond Hill, ON
- Full-time
Contribute to risk analytics and reporting, including the preparation of analysis results and presentations for senior management.
Added 17 days ago
EI
Manager - Marketing Analytics
Enercare Inc.
Markham, ON
- Full-time
Proficiency in Python for data analysis, automation, and advanced analytical modeling.
Added 17 days ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
We’re looking for a Senior Data Engineer to join our Data and Analytics Group within the Technology Services Partners (TSP) department for 12 months.
Added 17 days ago
AW
Senior Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
We’re looking for a Senior Data Engineer to join our Data and Analytics Group within the Technology Services Partners (TSP) department for 12 months.
Added 17 days ago
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AVP Quantitative Analysis - New Markets
Athene
Toronto, ON · Royal Bank Plaza North Tower
- Full-time
The AVP, Quantitative Analytics for New Markets Product is a senior individual contributor responsible for performing quantitative analysis that supports the design, evaluation, and ongoing…
Added 17 days ago
Director, Business Insights
Gore Mutual Insurance
Cambridge, ON
…create value and competitive advantage. Working closely with senior executives and other key stakeholders to align the data strategy with the business goals and vision. Will be responsible…
Added 17 days ago
Bilingual Specialist, Quantitative Analysis
CMHC - SCHL
Calgary, AB · Vancouver, BC · Halifax, NS · Ottawa, ON · Toronto, ON · Montreal, QC
…presentations based on research topics and analyses; present to senior level stakeholders, both internally and externally, as…
Added 22 days ago
FI
Senior Analytics Engineer, Workbench
Fulfillment IQ
Toronto, ON
- $125,000 to $160,000 CAD / year
- Full-time
Job Title: Senior Analytics Engineer, Workbench
Added 17 days ago
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AI Software Senior Analyst
Bombardier
Pointe-Claire, QC
- Full-time
You have strong proficiency in Python, SQL, React, PySpark, REST APIs, and full-stack integration.
Added 1 month ago
Process Modelling Engineer
Hatch
Mississauga, ON
…municipal and industrial water and wastewater clients. Working with senior engineers, process specialists, and software experts, the successful candidate will assist with process modelling,…
Added 17 days ago
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON
Act as the principal hands-on developer to conceptualize, design, and build next-generation ECL, PD, LGD, EAD, and SICR models for secured and unsecured portfolios using modern ML…
Added 17 days ago
JI
Senior MLOps Developer | Développeur·euse MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
We're looking for a Senior MLOps Developer to design, build, and maintain the data and machine learning pipelines that power our AI and analytics platforms. This is a deeply hands-on…
Added 17 days ago
SS
Vice President, Data, Analytics & AI
Sienna Senior Living
Markham, ON
- Full-time
Applied experience using SQL, python, and DBT.
Added 17 days ago
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Data Engineer - Capital Markets
Synechron
Mississauga, ON
- $110,000 to $120,000 USD / year
- Full-time
We are seeking an experienced Senior Data Engineer with strong expertise in SQL, Data Warehousing, and Snowflake to join our Capital Markets technology team. The ideal candidate will play a…
Added 17 days ago
OP
Manager Investment Operations
Ontario Power Generation
Toronto, ON
- Full-time
Reporting to the Senior Manager, Investment Operations and Compliance, the Manager, Investment Operations supports the day-to-day investment operations for OPG’s investment portfolios of…
Added 17 days ago
BC
Senior Cloud Engineer - Google Firebase
BDO Canada
Toronto, ON
- Full-time
BDO Canada's Google Cloud Advisory Practice is seeking a Senior Cloud Engineer - Google Firebase to help clients design, build, modernize, and scale cloud-native applications on Google…
Added 17 days ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
…help strengthen decision-making across the enterprise. As a Senior QA Automation Engineer, you will help build and evolve quality-control frameworks for complex data movement, large-volume…
Added 17 days ago
GT
kdb+ Developer
GFT Technologies
Mississauga, ON
- Contract
GFT is hiring a Senior kdb+ Developer to join a Global Markets Data & Analytics organization, focused on designing, building, and deploying time-series systems supporting pre-trade,…
Added 17 days ago
S
QA Automation Engineer with AI
Synechron
Calgary, AB
- $75,000 to $85,000 CAD / year
- Full-time
We are seeking a highly skilled Senior QA Automation Engineer with strong Java, Selenium, and AI experience.
Added 17 days ago
S
Senior Fullstack Engineer- Toronto
Sokin
Toronto, ON
- Full-time
We are looking for a passionate Senior Engineer who wants to join our growing team, helping us to transform and scale our payments platform.
Added 17 days ago
S
Senior Cloud Operations and CI/CD Specialist
Syntronic
Ottawa, ON
- Full-time
As a Senior Cloud Operations and CI/CD Specialist, you will be an integral contributor to a team responsible for cloud infrastructure delivery, automation and operation support for…
Added 17 days ago
VC
Creative Technologist, Interactive Media and Motion Graphics
Visual Capitalist
Vancouver, BC
- Full-time
Our work is seen and shared regularly by senior leaders including Liz Ann Sonders (CIO Charles Schwab), Tim Ferriss (best-selling author/podcaster), Michael Dell (Founder of Dell) and Steve…
Added 17 days ago
A
Senior Software Engineer, Behavior Planning
AeroVect
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments.
Added 17 days ago
C
Presales Solutions Architect
Centrilogic
Toronto, ON
- Full-time
This is a senior, client-facing generalist role. You sit between Azure infrastructure, Microsoft AI, data platform modernization and the sales team, and you are the technical voice on…

Fulfillment IQ

Senior Analytics Engineer, Workbench

Toronto, ON, Canada

$125,000 to $160,000 CAD / year · Full-time

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Job details

Pay: $125,000 to $160,000 CAD / year
Job type: Full-time
Apply by: Mar 16, 2027
Posting language: English
Posted: Sep 11, 2026

Original job description

General Information:

Job Title: Senior Analytics Engineer, Workbench

Primary Job Location: Toronto (Hybrid: 3 days per week in our Toronto office)

Employment Type: Full-Time

Hiring Timeline: Immediate

Reporting Line: Chief Scientist

Existing Vacancy: Yes

Application Deadline: Open until filled

Team: Crossdock Studios, working primarily on Workbench alongside Product, Engineering, and Operations Research.

Salary Range:

$125,000 - $155,000 CAD base per year

About Fulfillment IQ (FIQ):

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. It is early, it is real, and it is backed by Prologis. We are a small team building a genuinely new product, not maintaining a mature system.

Role Overview:

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. You will report to the Chief Scientist and work shoulder to shoulder with domain experts and the engineering team.

You do not need to be a supply chain expert on day one. The domain questions come from the people around you. What you need to bring is the ability to write efficient and maintainable code that automates what is currently a manual and time-consuming process, and the judgment to see the repeated pattern and build it into the product instead of doing it by hand a hundred times.

What You'll Do:

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. You will not own production UI but will give input on its development
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

The Honest Version of the Hard Parts:

You have to be able to code, unassisted, when it matters. 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. This is the single hardest gate in our process, and most candidates do not clear it. We would rather tell you that now
We work with real, industry data with lots of mismatched SKUs, missing fields, and inconsistent formats. Automating the cleaning and reconciling is a large part of the job, and you have to be honest about what you trust
Manual analysis is the means, not the end. Our goal is to automate repeated manual work, so it never has to be done by hand again
You sit between the data and the engineers. You translate what you find into something a dev team can build, and you hold the thread on which capabilities bring users the most value
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. That is a real filter, not a preference

Where This Goes:

Think chessboard, not ladder. 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. You work directly with the Chief Scientist. Tell us what you want to build and we will help you get there.

How We'll Interview You:

Intro conversation. A short call to swap context and make sure the basics line up. Expect a brief, spoken code-thinking question here, we will describe a messy dataset and ask how you would approach it
Conversation with the Chief Scientist. How you think about data, code, and supply chain, and whether we can make each other better
Technical. A live working session on a real, messy supply chain dataset. You will load it, clean it, find the patterns that matter, and tell us what you would automate and how you would present it. You will write actual code. You are welcome to use AI tools, on screen, and you will be expected to own what they produce
Final. Discussion with the Workbench team

What You Need To Have:

Fluency in Python and tabular analytics at scale, proven on messy, real-world data. You can load an unfamiliar file, inspect it, reshape it, reconcile it, and compute what is asked, and you can do it live. This is non-negotiable and it is what we screen for first
Experience with tabular data tools like SQL, Polars or Arrow
The habit of using AI coding tools to go fast while genuinely owning the output. You can read the code, catch when it is wrong, and fix it
The business sense to see a 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 Computer Science, Data Science, Statistics, Engineering, or a related quantitative field, or equivalent proof you can do the work. We care more about how you code and think than about years

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
Experience working shoulder to shoulder with a product or engineering team

Why You Will Love Working Here:

Real ownership on a team small enough that your judgment shapes what gets built, working directly with the Chief Scientist on a product that is genuinely new. You will build the capability, not inherit a dashboard and babysit it. We move fast, we automate the busywork, and we back people who take initiative.

Perks you'll appreciate:

Employee Health: 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
Professional Growth: Dedicated learning and development budget
Flexible Work: Hybrid work options
Perks: 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 to assist in 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. Final hiring decisions are made by FIQ personnel. If you have questions about how AI is used in this process, contact hr@fulfillmentiq.com.

Accommodations:

FIQ is committed to an inclusive and accessible recruitment process. Consistent 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. Contact hr@fulfillmentiq.com and we will work with you to meet your needs.

Candidate Privacy:

Your personal information is collected and used for recruitment purposes in accordance with FIQ's Candidate Privacy Notice, available here, and in accordance with applicable 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. By applying, you acknowledge this notice. Questions: hr@fulfillmentiq.com.

Equal Opportunity:

Fulfillment IQ is a people-first company built on trust, collaboration, and ownership. 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.

Learn More About Us:

Website: fulfillmentiq.com

LinkedIn: Fulfillment IQ

Spotify: eCom Logistics Podcast Spotify

YouTube: eCom Logistics Podcast YouTube

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More about this job

Responsibilities

You will build and maintain the data processing and analytics engine for the Workbench platform by automating the ingestion, cleaning, and standardization of heterogeneous customer data. You will collaborate with industrial engineers and product teams to translate complex data patterns into scalable, production-ready code.

Requirements

Candidates must possess fluency in Python and experience with tabular data tools like SQL, Polars, or Arrow, with a proven ability to handle messy, real-world datasets. A bachelor's degree in a quantitative field or equivalent experience is required, along with the ability to effectively leverage AI coding tools while maintaining ownership of the output.

Skills

Python
SQL
Polars
Arrow
Data ingestion
Data transformation
Data cleaning
Data standardization
Analytics engineering
Automation
Supply chain data
Data visualization
Debugging
Communication
Problem solving

Benefits

Health coverage
Dental coverage
Paid time off
Retirement savings programs
Learning and development budget
Equipment allowances
Internet reimbursements
Business travel coverage
Employee stock options

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Polars
Arrow
Analytics Engineering
Supply Chain
Logistics
Data Ingestion
Data Transformation
Automation
Data Visualization
Warehouse Design
Order Management
Standardization
Product Development
AI Coding Tools
Tabular Data
Data Imputation
Engineering
Data Science
Statistics

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