We are seeking an organised and self-motivated Data Analyst to work embedded in our Banking Foundations (Assistance) domain to help shape the development of one of the world's leading FinTech products.
About the opportunity
As a Junior Data Analyst you will enable our product and business segments in the Banking Foundations domain to make data-driven decisions. You will monitor, measure and analyse the effectiveness of your product/business teams’ initiatives, as well as help drive the strategy of your business segment. 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. 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.
- 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.
- 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.
What you need to be successful:
Background:
1+ years of experience, ideally within the Product or Analytics field.
Skills
- Strong understanding of statistical methods used in the analysis of experimental and observational data.
- 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.
- Having experience in high growth startups managing topics like Assistance or Operations would be a plus..
- Having experience in quantitative research would be a plus.
- Having experience in fintech would be a plus.
