Data analyst in investments

We are seeking an organised and self-motivated Data Analyst to work embedded in our Investments team, to help shape the development of one of the world's leading FinTech products.

• Develop clear and measurable targets based on an initiatives’ scope. Improve our overall forecasting and goal setting capabilities.
• Be an internal go-to-person for your teams when it comes to data related questions.
• Support product experimentation and impact measurement initiatives; design experiments and causal inference analyses, obtain cross-functional alignment, execute robust analyses, and deliver actionable insights. Share these learnings through clear documentation and concise, empathic communication.
• 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.
• Build the dashboards your team looks at every week to make sure they are impacting our company OKRs.
• 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.
• Collaborate with a broad range of analytics teams at N26 to utilise shared platforms, insights and innovations.
• 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.
• During product development you make sure all data needed for future evaluation is being captured through set up of tracking events or as part of the backend service.
• Drive the quantitative analysis on your segment, being responsible for the insights and business discovery on the team.

• 3+ years of experience, ideally within the Product or Analytics field.
• 1+ years of experience in the Investments or Wealth domain
• Strong understanding of statistical methods used in the analysis of experimental and observational data (e.g. causal inference)
• Strong problem solving skills and is comfortable doing exploratory data analysis that generates insights and “so whats”
• Highly experienced with SQL and Python/R for analytics
• Experience working with one or more common data visualisation tools (Tableau, Metabase, Looker, Superset, etc)
• Good presentation skills and communication skills.
• Experience with Experimentation (e.g. AB testing, multivariate etc)

• Accelerate your career growth by joining one of Europe’s most innovative banks 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
• Vacation days vary depending on your location of work. Additional day of annual leave for each year of service.
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses.
• A relocation package with visa support for those who need it.