Role overview
As a Science and Analytics Lead at Finoa, you will support Product in building the best products, support Tech to understand operational challenges, and offer Business, Marketing, and Management customer and market insights as well as ecosystem insights from on-chain analysis. To be successful in this role you have experience in building and managing world-class engineering teams and/or data science teams, and will have a track record of driving data-informed decisions in scale-up companies.
What you'll work on
- Define, develop, and promote the Data Science and Analytics strategy and roadmap.
- Partner with Product and cross-functional teams to inform, influence, and support data-driven decisions in products.
- Work with management and business functions to deliver data-driven outcomes.
What we're looking for
-
Experience in leading or mentoring junior team members, working collaboratively with Tech, Product, and cross-functional partners.
-
Hands-on background expected, implementations within data engineering or data science, preferably having delivered solutions end to end as well as architecting data warehouses/data lakes.
-
Deep understanding of the requirements of key stakeholders and ability to translate them into an actionable plan for data scientists, data engineers, and data analysts.
-
Demonstrated experience in hiring, retaining, and scaling diverse, distributed, high-performing teams.
-
Highly proficient with SQL, cloud computing environments as well as data warehouse and data lake architecting.
-
Working knowledge of modern and current Data, ML, and Analytics tooling.
-
Experience in web and app tracking.
-
Experience from blockchain, cryptocurrency protocols, validators, etc. is a huge plus!
-
Recent experience in regulated businesses, ideally fintech or insurtech.
-
Start-up/Scale-up experience.
-
EU resident or visa holder, able to spend time in Berlin or Porto as needed.