Analytics Engineer I
Mollie is hiring an Analytics Engineer I in Milan, Italy. Level rates it ; you can apply on Mollie.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions dbt, SQL and Looker among its tools and skills.
- Level classes it as a junior role.
- Mollie has 50 other open roles on Level.
- Posted in the last few days.
AI in this role
Build and maintain dbt models, data pipelines, and BI dashboards to track customer insights and product adoption.
Build with us
Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable.
With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.
We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.
Sound like your kind of place? Let's build together.
Your impact
Mollie's Revenue Operations domain gives our commercial organisation the tooling, data and automation to do more with less. As Analytics Engineer I in the Customer Insights team, you'll focus on the analytics and BI side of the products we ship.
You'll build the dbt models behind your own dashboards and turn that data into a clear, ongoing read on adoption, usage and impact. You'll be the person who can tell the team and its stakeholders, with data, whether what we shipped is actually working.
Your numbers will directly shape which BETs get iterated on, doubled down on or cut. You'll work side by side with Application Engineers on tools that Sales and SDRs use every day, at a fast moving moment with the GoCardless integration about to start.
What you'll ship
Small, regular improvements to existing Customer Insights products, like dbt model fixes, new tests and dashboard fixes, shipped independently.
Adoption, usage and impact tracking for Customer Insights products, such as Account Book adoption, BigMind usage or HubSpot UI card engagement.
That tracking built end to end, from the underlying dbt model through to a dashboard that stakeholders actually check.
Build a standing set of adoption and impact dashboards that the team and its stakeholders use to prioritise what we shipp, and it's analytics and BI deliverables.
What you'll bring
1 to 3 years of experience in SQL and working dbt experience. You're comfortable building and maintaining models and tests, not just querying, because you'll own the models feeding your own dashboards.
Experience with a BI or dashboard tool such as Omni, Looker, Tableau or similar. You know how to display data so it delivers a clear message.
Data visualisation and data storytelling skills.
Experience with GTM, Reveneu Operations or Marketing is a big plus.
Comfort working directly with business stakeholders.
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.
AI at Mollie
We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day.
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.
How we rate this
Analytics Engineer I at Mollie rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where analytics engineering was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where data visualisation was part of your work. What did you do?
- Tell me about a project where revenue operations was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Analytics Engineering, Business Intelligence, Data Modeling, Data Visualisation, and Revenue Operations. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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