Analytics Engineer - Revenue Operations

04 ago - Milano
Banche e finanza

Analytics Engineer II - Revenue Operations

Possiede le competenze, l'esperienza e la determinazione necessarie per avere successo in questo ruolo? Lo scopra qui sotto.
The role:

Location:

Amsterdam or Milan

Remote/Hybrid:

Hybrid

Your impact
Revenue Operations at Mollie serves around 200 internal stakeholders across sales, customer success, marketing, and partnerships. The analytics work done here feeds directly into how commercial teams make decisions, assign leads, and manage performance. When the data is right, the whole commercial engine runs better.

This role sits inside the GTM Enablement team, a small group focused on making Mollie’s go‑to‑market motion faster and smarter. You will be the analytics engineering support for the team’s projects. At the same time you will own reporting of our GTM domains, such as Merchant Sales and CSM & Customer Growth. That means the work you produce is immediately visible and measurable within the business.

The domain is actively growing and maturing. RevOps has recently adopted a full domain model and is being rebuilt as a proper product and engineering function. There is real space here to shape how analytics is delivered to commercial stakeholders, not just execute on requests. Over time, the expectation is that the team shifts from reactive to proactive, and this role is central to making that happen.

What you’ll ship

Own and maintain core dashboards for GTM domains, including CSM and Merchant Sales, serving as the source of truth for commercial stakeholders

Own and maintain HubSpot data models

Define success metrics, set up data tracking and reporting for GTM Enablement team projects





Reduce dashboard sprawl by establishing centralised, standardised reporting in Omni

Deliver ad‑hoc analysis and impact scoping to support decision‑making

What you’ll bring

Strong SQL skills and hands‑on experience building dashboards and reports in BI tools such as Looker, Tableau, or similar

Solid data visualisation skills with the ability to translate complex data into clear, actionable outputs for commercial audiences

A working understanding of data modelling concepts, with the ability to apply basic engineering best practices in your work

Experience managing stakeholders in a commercial or sales‑facing environment, including the ability to prioritise, and communicate clearly with both technical and non‑technical audiences

Around four or more years of experience in an analytics engineering or closely related role, with a proven level of independence to scope and drive your own work

Comfort working in a fast‑moving, commercially oriented environment where priorities shift and ambiguity is part of the job

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. xysqume

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.

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