Mollie
Engineering
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Analytics Engineer at Mollie. Skills: SQL, dbt, BI tools, Data modeling. Build and maintain analytical infrastructure. Define KPIs”
What You'll Achieve.
Make payments and money management effortless; Companies use Mollie to get paid; Manage money and grow; Support teams have data; Visibility and insight; Operate at their best; Keep support teams sharp; Measure and track performance; Understand what's working; Drive improvement for operations
Industry & Context.
Asking the right questions; Translate business problems into data questions
What They're Looking For.
Must Have
+ years of experience in analytics engineering, data analytics, business intelligence, Advanced SQL proficiency, understanding of data modeling principles, Proven experience building and scaling data models using dbt, Deep experience with at least one modern BI or data visualization tool, Ability to translate business problems into data questions, clearly communicate findings to non-technical partners
Nice to Have
AI-powered support agents, platform migration from Zendesk to Open
What You'll Do.
Build and maintain analytical infrastructure
Build real-time reporting
Shape platform migration
Provide insights for operations
Surface operational insights
Define KPI frameworks
Translate data into recommendations
How You'll Work.
Team & Collaboration
Work close to operational detail; Communicate findings to non-technical partners
Communication Scope
Clearly communicate findings
Full Job Description
The role: - Job title: Analytics Engineer I - Location: Lisbon - Remote/ Hybrid: Hybrid 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 300,000 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 Customer support is one of the most direct touchpoints between Mollie and the businesses we serve. As an Analytics Engineer on the Support Optimization team in Lisbon, you'll make sure the people running that support function have the data, visibility, and insight they need to operate at their best. You'll help build and maintain the analytical infrastructure that keeps our support teams sharp, from defining the KPIs that measure what actually matters, to building the real-time reporting that helps teams act on what they see. You'll also play a meaningful role in two significant transitions: our platform migration from Zendesk to Open, and the rollout of AI-powered support agents. Your analysis will directly shape how those changes land while continuously providing insights that can drive improvement for operations This is a role for someone who is comfortable working close to the operational detail, building things that get used every day, and asking the right questions before reaching for the data. What you'll ship - Dashboards in Omni that give support teams clear, reliable visibility into performance and operations - Data models in dbt that create a solid, maintainable foundation for support analytics - Real
Applying for this Analytics Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Mollie?
Real rants from real employees. Read before you apply.