Analytics Engineering Manager
Mollie
Your opportunity
Join a dynamic and rapidly growing company based in the Netherlands, with a footprint extending across Europe. In our journey to make money management effortless for every business in Europe, we are looking for someone to lead our analytics efforts across two business domains: GTM, and Planning & Analysis.
In this role, you will lead a group of analytics professionals – jointly responsible for using data to power Mollie’s efforts in marketing, sales, partnerships and other commercial activities. To succeed, you will need top-notch technical skills, demonstrable leadership experience, and strong commercial acumen.
What you'll be doing
Team leadership: responsible for a team of data analysts and analytics engineers who jointly own the analytics roadmap for our GTM and P&A domains.
Roadmap development: collaborate with domain stakeholders to understand their data needs and translate this into an analytics roadmap for your team.
Craft leadership: promote data best practices with the domain, ensuring that we balance the long-term health of our data assets with short-term needs.
Data modelling: transform data from different sources into clean, robust, performant, easy to use data models based on the analytical needs of your stakeholders.
Business Intelligence: build and maintain robust, performant data models and dashboards enabling your stakeholders to visualise and report key metrics.
Commercial analytics: dive deep into data from different Mollie products to understand and improve commercial performance by driving business decisions.
Data storytelling: turn your insights into compelling stories and share them via presentations, blog posts, memos, dashboards, workshops, or whatever works best!
What you have
4+ years experience as an analytics engineer or data analyst
1+ year of experience as a manager or other demonstrable leadership
Experience within sales and marketing + associated data sources e.g. GA, Salesforce etc.
Strong problem solving skills and attention to detail
Proactive, pragmatic and have a ‘can do’ attitude
Strong stakeholder management and communication skills
Fluency in SQL (we use BigQuery) and experience with dbt
Experience working with a BI tool (we use Looker)
Experience working with Git
Nice to haves
Experience with A/B testing and experimentation
Experience with R, Python, or other programming languages