AI Data Analyst

Hybrid
CompanyDonna
LocationGent, Vlaams Gewest, Belgium
CategoryData & AI
DepartmentCustomer Success
Seniority-
WorkplaceHybrid
Posted2026-05-27
Viarecruitee

Description

The AI Data Analyst role sits within our Customer Experience team (alongside Customer Success and Implementation Engineers), and has a clear mission: make sure every Donna user feels heard, helped, and set up for success. Because customer adoption is one of our key metrics, we want to provide a frictionless experience to our users, who are not always going to request support. Thats's why there is a second mission that's just as important: be the radar. You'll be the person closest to what users actually struggle with day-to-day, and you'll translate those patterns into actionable signals for our CS and Product teams.

This is a role for someone who's excited by ownership, comfortable with ambiguity, and genuinely curious about how things work; technically and commercially.

This could be a perfect entry role for people looking to learn more about SaaS and AI scale-ups.

What you’ll be doing

Be the radar (this is where you add your outmost value)

-
Spot & analyse recurring patterns in conversations and interactions and turn them into structured insights towards the organization

-
for CS: "this account is struggling"

-
for Product: "this feature needs improvements"

-
for the team: "this onboarding gap keeps showing up"

-
Channel real customer painpoints into fixes, improvements and documented based on your prioritization insights

Run and improve support

-
Be the first point of contact for Donna users: fast, clear, and empathetic

-
Monitor usage patterns and proactively flag accounts that need attention

-
Keep the Help Center alive: new features ship constantly, and the docs need to keep up

-
Actively use and evaluate AI tools to work faster and smarter: from drafting responses to generating help content to spotting patterns in ticket data

-
Always think one step ahead: how does this process hold up when we have 3x the customers? Build for scale from day one, not as an afterthought