The opportunity
We are seeking an organized and self-motivated Data Analyst with deep expertise in causal inference, experimentation, and statistical research to work embedded in our Banking Foundations (Customer Risk Lifecycle) team, helping shape the development of one of the world's leading FinTech products.
What you'll do
Help us set the right goals: Develop clear and measurable targets based on an initiatives’ scope. Improve our overall forecasting and goal setting capabilities.
Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions.
Evaluate initiatives: Support Product experimentation & testing initiatives; design test plans, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights. Share these learnings through clear documentation and concise and empathic communication.
Contribute to self-serve data platform: Help building the right analytics foundations ,by pairing up with technical peers, so our product teams can interact with data and extract the right insights themselves.
Provide monitoring tools: Build the dashboards your team looks at every week to make sure they are impacting our company OKRs.
Improve data literacy of organisation: Educate teams to become independent when it comes to data access and understanding function led training and team wide workshops to foster data driven culture.
What they're looking for
- Be part of our data-community: Collaborate with a broad range of analytics teams at N26 to utilise shared platforms, insights and innovations.
- Support some of the following product & business team initiatives (not: limited to): You support your team in discovery of new product ideas, identifying user friction points and business opportunities.
- Evaluate your teams’ continuous releases making sure they are delivering on: business goals via experimental or observational methods.
- Collaborate with UX researchers to combine qualitative and quantitative: research for better product hypotheses.
