Mollie
Analytics Engineering Manager - RevOps
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Amsterdam
Employer listed it 2 months ago · Added yesterday
Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Amsterdam
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $115k–$225k a year, a typical range taken from 169 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Amsterdam, Milan, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Amsterdam, Milan, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Analytics Engineering Manager - RevOps
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
Analytics Engineering at Mollie is a craft we take seriously. As Analytics Engineering Manager for RevOps, you sit at the intersection of people leadership and technical craft, responsible for both the growth of the Analytics Engineers you manage and the quality of the work they produce. You will lead a team of approximately six direct reports, spanning the RevOps domain and analysts in adjacent domains such Planning & Analysis and Mollie Connect, making sure the craft is well represented and well applied across all of them.
The RevOps domain is central to how Mollie understands and demonstrates its commercial performance. You will own the domain metrics together with your team, ensuring that what gets measured actually gets used, and that stakeholders across the business can see the impact of the work being done. Beyond the domain itself, you will help shape how Analytics Engineering as a craft evolves at Mollie, setting standards, improving ways of working, and making sure the teams you support know how to get the most out of the craft.
This is a role for someone who is equally comfortable coaching a direct report through a tricky career conversation and reviewing a dbt model for quality. You will partner closely with accountable leads on planning and roadmaps, advocate for the craft with non-technical stakeholders, and drive initiatives that raise the bar across the whole Analytics Engineering community at Mollie.
What you'll ship
A consistent, high-quality Analytics Engineering practice across the RevOps domain and supported adjacent teams, with clear standards, documented ways of working, and a team that applies them reliably
A well-maintained and trusted set of RevOps domain metrics that give stakeholders a clear, consistent view of business performance and commercial impact
A structured performance management cycle for your direct reports, including regular feedback, meaningful reviews, and development goals that are set and tracked in genuine partnership with accountable leads
Craft-level initiatives that improve how Analytics Engineers work across teams, from tooling and best practices to knowledge sharing and onboarding
A planning and prioritisation process that supports accountable leads effectively, with Analytics Engineering work scoped, sequenced, and delivered to a high standard
A team of Analytics Engineers who are growing in their craft, supported through coaching, mentoring, and learning opportunities that are tailored to where each person wants to go
What You’ll Bring
At least five years of experience in an analytics or analytics engineering environment, with a background in a quantitative discipline such as mathematics, engineering, econometrics, or a related field
Experience leading or managing analytics engineers or analysts, with a track record of supporting people through feedback, development conversations, and performance cycles, and a genuine interest in helping others grow
The ability to partner effectively with commercial teams such as sales, marketing, and revenue operations, translating between what the business needs and what the craft can deliver
Solid hands-on experience with SQL and a cloud data warehouse, with the ability to review and contribute to technical work directly
Practical experience with dbt or an equivalent data modelling tool, and a clear understanding of what good data modelling looks like in practice
Requirements
- ·At least five years of experience in an analytics or analytics engineering environment, with a background in a quantitative discipline such as mathematics, engineering, econometrics, or a related field
- ·Experience leading or managing analytics engineers or analysts, with a track record of supporting people through feedback, development conversations, and performance cycles, and a genuine interest in helping others grow
- ·The ability to partner effectively with commercial teams such as sales, marketing, and revenue operations, translating between what the business needs and what the craft can deliver
- ·Solid hands-on experience with SQL and a cloud data warehouse, with the ability to review and contribute to technical work directly
- ·Practical experience with dbt or an equivalent data modelling tool, and a clear understanding of what good data modelling looks like in practice
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Mollie, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $115k to $225k per year · You'll be taken to the employer's careers page.