Renaud Beaupré, Data Consulting Services — data platforms, analytics and AI for global and local businesses.
Services
Hands-on work, from the first pipeline to the dashboard your team opens every morning. Every engagement ends with documentation and a handoff, so you're never dependent on me.
The problem
Your data is scattered across apps, spreadsheets and exports, and every report starts with copy-paste.
What you get
The problem
Teams argue about whose numbers are right, and nobody trusts the dashboards enough to act on them.
What you get
The problem
You want to use AI on your own data, but demos don't survive contact with real questions, costs or security.
What you get
The problem
Your stack grew piece by piece, costs are creeping up, or a forced migration (like GA4) is looming.
What you get
Tools I work with
Approach
No two businesses start from the same place. Before recommending anything, I take the time to understand your needs, your current tools, your team's resources and its comfort with data. Scope and timelines come from that, not from a template.
A free 30-minute conversation about your goals, your current setup and what success looks like. No commitment.
I look at your data, tools and workflows, and at who will use the result day to day. Then I send a written proposal with a scope, timeline and price fitted to your situation.
Work happens in short iterations with regular check-ins, so you see progress early and can steer.
Documentation and training for your team, plus optional ongoing support once the work is live.
Engagement
A clearly defined deliverable, timeline and price agreed up front.
Best for: new platforms, migrations, audits
A reserved block of time each month for ongoing improvements and support.
Best for: teams without an in-house data engineer
Expert input when you need it: architecture reviews, hiring help, second opinions.
Best for: teams that build in-house and want guidance
Work
A global powersports manufacturer
An influencer marketing agency
About
I've spent 10+ years in data, moving from analyst to data scientist to data engineer. That path means I build systems with the people who use the numbers in mind, not just the people who maintain the pipelines.
I've worked with startups and large companies across e-commerce, retail and manufacturing, and more recently on bringing AI into data workflows in ways that hold up in production.
I'm based in Montréal and work in French and English.
Tell me where you are and where you want to be. In 30 minutes, we'll know whether I can help and what a first step looks like.
Book a discovery callOr write to me at renaud@renaudbeaupredata.ca
