Analytics Engineer II - Revenue Operations

Analytics Engineer II - Revenue Operations

The role:

• Job title: Analytics Engineer II

• Location: Amsterdam or Milan

• Remote/ Hybrid: Hybrid

Build with us

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

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.

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

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.

Benefits

Noise cancelling headphones

MacBook

Birthday off

Complimentary baby days

20 days working from abroad

22 holiday days

Internet allowance

Lunch voucher

Wellbeing program

Health insurance

Bonus scheme

Equity plans

Referral bonus

Learning platform

Mentor program

Work from home budget

25 holiday days

Bike lease plan

Pension plan