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Procurement Data Analyst

Job in Quinte Shores, East Northumberland County & Prince Edward County (Picton), Ontario, K0K, Canada
Listing for: Prime Data Centers
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Warehousing
Job Description & How to Apply Below
Location: Quinte Shores, East Northumberland County & Prince Edward County (Picton)

About the role
Prime Data Centers is looking for a Procurement Data Analyst to help build the analytics foundation that powers one of the fastest-growing data center procurement organizations in North America. This is an early-career role with meaningful ownership from day one — you won’t be pulling static reports for someone else; you’ll be building the tools, dashboards, and data pipelines that the whole procurement team relies on.

You’ll work closely with our Manager of Procurement Data & Analytics and our external data strategy partner (Aimpoint Digital), contributing to real deliverables across Snowflake, Sigma, and our core enterprise platforms. If you’re a sharp analyst who wants to grow alongside a function being built from scratch, this is the role for you.

What you’ll do
Reporting & Dashboard Development

Build and maintain procurement dashboards and reports in Sigma, covering spend analytics, supplier performance, procurement KPIs, and category-level trends.

Support the ongoing development and refinement of OFCI tracking workflows in Sigma — improving forecast visibility, milestone tracking, and exception flagging for the procurement team.

Respond to ad hoc data and reporting requests from category managers, regional procurement managers, and leadership, turning questions into clean, repeatable analyses.

Data Management & Quality

Support data pipeline maintenance and quality monitoring across Snowflake, ensuring procurement data flowing from Net Suite, Procore, and other platforms is accurate and up to date.

Help maintain data dictionaries, field-level documentation, and source-of-truth references that keep procurement reporting consistent and auditable.

Identify and flag data quality issues; work with platform owners and the broader data team to resolve discrepancies at the source.

Analytics & Insights

Develop supplier performance and risk analytics that support category managers in identifying underperforming suppliers, concentration risk, and escalation triggers.

Contribute to spend analytics work — helping the team understand where Prime’s procurement dollars are going, how they’re trending, and where opportunities exist.

Assist in building models and analyses that support sourcing decisions, contract negotiations, and supplier reviews.

Process & Continuous Improvement

Help identify opportunities to reduce manual data work across the procurement team — building automations, lookup tools, and self-service solutions that free up capacity.

Partner with the Procurement Transformation & Governance function to ensure reporting outputs align with evolving process standards and system configurations.

The Ideal Profile

Analytically Sharp:  You’re comfortable working with messy, real-world data and turning it into something clean and useful. You know your way around SQL and a BI tool, and you enjoy the process of making data make sense.

Curious Builder:  You don’t wait to be handed a finished spec. You explore, ask questions, and build things that work — even when the requirements are still evolving.

Clear Communicator:  You can explain what a dashboard shows, what it doesn’t show, and why it matters — in plain language, to people who don’t spend their days in data tools.

Growth Oriented:  You’re early in your career but serious about developing deep expertise. You see this role as a foundation, not a stepping stone.

Qualifications

2–4 years of experience in data analytics, business intelligence, or a related function — internships and co-ops included for strong candidates.

Proficiency in SQL; ability to write and troubleshoot queries against relational or cloud data warehouses.

Hands‑on experience building dashboards or reports in Sigma, Tableau, Power BI, Looker, or a comparable BI platform.

Familiarity…
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