Mollie
Engineering
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Analytics Engineer at Mollie. Skills: Analytics Engineer, data analytics, business intelligence, SQL, data modeling, dbt, BI or data visualization tool. Build and maintain the analytical infrastructure that keeps our support teams sharp. defining the KPIs that measure what actually matters”
What You'll Achieve.
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-time reporting via Plecto that surfaces operational insights when they're actually needed; KPI frameworks that define how support performance is measured and tracked across teams; Impact analyses on the introduction of AI customer support agents, helping the business understand what's working and what needs to change; Reports and presentations that translate data into clear recommendations for stakeholders; Common trends for agent performance; Insights on contact rate deepdives; Impact assessment on incidents
Industry & Context.
asking the right questions before reaching for the data; translate business problems into data questions
What They're Looking For.
Must Have
Advanced SQL proficiency, understanding of data modeling principles, Proven experience building and scaling data models using dbt or an equivalent stack (e. g. , SQL + Airflow), Deep experience with at least one modern BI or data visualization tool (e. g. Looker, Tableau, etc.), A track record of taking raw, complex data sources and modeling them into useful, clean, production-ready datasets
Nice to Have
rollout of AI-powered support agents, AI customer support agents
What You'll Do.
Build and maintain the analytical infrastructure that keeps our support teams sharp
defining the KPIs that measure what actually matters
building the real-time reporting that helps teams act on what they see
play a meaningful role in two significant transitions: our platform migration from Zendesk to Open
and the rollout of AI-powered support agents
analysis will directly shape how those changes land while continuously providing insights that can drive improvement for operations
How You'll Work.
Team & Collaboration
work close to the operational detail; clearly communicate findings to non-technical partners
Communication Scope
clearly communicate findings to non-technical partners
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
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