About the opportunity

As a Senior Data Analyst you will enable our Product & Business Segments (Acquire, Memberships and Engagement) in the Growth and Engage domain to make data-driven decisions. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement. You will work in a cross functional setup, working closely with other analysts, engineers, designers, and product managers.

In this role, you will:

• Help us set the right goals: Develop clear and measurable targets based on an initiatives’ scope.
• Be a strategic partner for Senior Leadership: Driving end to end high complexity analysis on a strategic level in which the business domain is critical to drive overall company success.
• 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 and business 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.
• Be part of our data-community: Collaborate with a broad range of analytics teams at N26 to utilise shared platforms, insights and innovations.
• Lead, mentor, and coach other analysts , fostering a collaborative and growth-oriented team environment.
• 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.
• 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.