About the Role
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.
Responsibilities
•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.
Requirements
•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 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).
Conditions
•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.
