Procurement Finance & Data Analyst

Fortune 1,000 companies spend billions with 1,000s of suppliers. We represent these large companies and save them money by negotiating pricing with their suppliers. Teams at these large companies are focused on their large suppliers and typically don’t actively manage the mid/smaller suppliers as closely. We help solve this problem by negotiating directly with this subset of suppliers and deliver meaningful savings within just a few months. We work with our clients on a project basis and have executed more than 50,000 negotiations across 90+ countries.
We intentionally have a very limited online presence (including LinkedIn) – the best way to find out more is to have a chat. We are a fast-paced and entrepreneurial organization. We’ve been recognized for multiple years as one of Canada’s Fastest Growing Companies and a Great Place to Work.
What is the role?Every savings number we bring to a client gets tested. Their procurement and finance teams will push on it, and it has to hold up. We need a finance professional who takes ownership of that: someone who checks the numbers and makes sure they’re accurate and defensible before they reach the client.
A lot of that checking is the same work every time, which makes it a great fit for automation. AI can now handle the data cleanup, classification and first-pass checks that used to eat up hours. We’re looking for someone with a solid finance background who enjoys building AI tools and always wants to find a faster, smarter way to do the work.
You’ll be part of the Procurement Excellence team, working with analysts and negotiators toward a shared savings target that everyone pitches in to hit. It’s an energetic group: people celebrate big wins and push hard to put more dollars on the board. If you like small, high-performing teams and making a real impact with Fortune 1000 clients, you’ll feel at home here.
ResponsibilitiesSavings validation
Review, validate and quantify the savings our team negotiates. The volume is high: you’ll review hundreds of unique outcomes in detail each year.
Build AI-assisted first-pass checks that flag anomalies, so your judgement goes where it matters most.
Work directly with vendors to resolve questions about their savings proposals.
Work directly with clients to make sure negotiated savings are understood and implemented correctly, and track implementation with dashboards.
Build: AI-enabled data workflows
Design, build and maintain AI-assisted workflows that ingest, cleanse, normalize and classify large client spend data sets (>
1 million lines) from P2P and ERP systems (e.G., SAP, Ariba, Coupa).
Apply generative AI tools (e.G., Claude, ChatGPT, Microsoft Copilot) alongside Power Query, Power Automate and/or Python to automate supplier name normalization, spend categorization and data extraction from contracts, invoices and vendor proposals.
Build reusable templates, prompts and playbooks so that every new client engagement is faster than the last.
Spot repetitive manual work across the team and automate it.
Build: Power BI reporting layer
Own our Power BI reporting layer end to end – data models, Power Query transformations, DAX measures and dashboards.
Build client-facing dashboards that track spend in scope, negotiation progress and savings negotiated vs. validated vs. implemented.
Build internal dashboards that give the team real-time visibility into pipeline and progress against the team savings target.
Maintain data quality, refresh schedules and governance so the numbers are always trusted.
What we’re looking for
Minimum 8 years of experience structuring and analyzing large data sets using Excel (PivotTables, lookups, etc.), and very large data sets using Power BI, including hands‑on data modeling, Power Query and DAX
Demonstrated experience building with AI – you have used generative AI tools to automate a data or analytical workflow, and can show us what you built
Working knowledge of at least one of SQL, Python or Power Automate (or a similar low-code tool), and the drive to keep learning new tools fast
Minimum 5 years of experience working in a client service setting (e.G., consulting, financial services)
Minimum 3 years of experience working closely with the Procurement function (e.G., savings validation, spend data analysis)
A builder mindset – when you see a repetitive task, your first question is “how do I make sure nobody does this manually again?”
Sound judgement with AI – you know when to trust an output, when to verify it, and how to protect confidential client data
You must be driven and gritty – our pace of work can be very intense at times!
You must be able to operate independently with limited oversight
Excellent written and verbal communication skills, including turning data into a clear story for senior stakeholders
Nice to have
Microsoft PL-300 (Power BI Data Analyst) certification, or experience with Microsoft Fabric / Azure
Experience building AI agents or multi-step automations
Exposure to spend analytics or spend cube tools
Fully remote work – work from anywhere as long as you are available 9–5 ET - we do prioritize the Greater Toronto Area
Charitable donations – we donate a portion of the savings generated to a charity ($40K+ and counting)
Matching program for retirement savings accounts
Excellent benefits package
Training stipend
This posting is for an existing vacancy. We do not use artificial intelligence to screen, assess or select applicants.
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