Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Data Analyst embedded in the Banking Foundations (Customer Risk Lifecycle) team, you will enable data-driven decisions for the CRL business segment, focusing on the AFC Operations function. You will monitor, measure, and analyze initiative effectiveness, drive business segment strategy, establish a data mindset, and foster a culture of continuous learning and improvement within a cross-functional team.

Responsibilities

Develop clear and measurable targets based on initiative scope and improve forecasting and goal-setting capabilities.
Serve as the internal go-to person for data-related questions within your teams.
Support product experimentation and testing initiatives, including designing test plans, aligning stakeholders, executing analysis, and delivering actionable insights.
Share learnings through clear documentation and concise communication.
Assist in building analytics foundations by collaborating with technical peers to enable product teams to interact with data independently.
Build dashboards for teams to monitor impact on company OKRs.
Educate teams on data access and understanding through training and workshops to foster a data-driven culture.
Collaborate with analytics teams to utilize shared platforms, insights, and innovations.
Support discovery of new product ideas, identification of user friction points, and business opportunities.
Evaluate continuous releases to ensure they meet business goals using experimental or observational methods.
Combine qualitative and quantitative research with UX researchers for better product hypotheses.
Ensure necessary data for future evaluation is captured during product development by setting up tracking events or as part of the backend service.
Drive quantitative analysis for your segment, taking responsibility for insights and business discovery.

Requirements

3+ years of experience within the Product or Analytics field.
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 visualization tools (Tableau, Metabase, Looker, Superset, etc).
Good presentation skills and communication skills.
Experience in high growth startups managing topics like Fraud or AFC is a plus.
Experience in quantitative research is a plus.
Experience in fintech is a plus.

Skills

SQL
Python
R
Data Visualization Tools (Tableau, Metabase, Looker, Superset, etc.)
Statistical Methods
Experimental Data Analysis
Observational Data Analysis
Presentation Skills
Communication Skills

Location

Berlin

Work Type

Full-time

Experience Level

3+ years

Benefits

Competitive personal development budget
Work from home budget
Discounts to fitness & wellness memberships
Discounts for language apps
Discounts for public transportation
Premium subscription on personal N26 bank account
Subscriptions for friends and family members
Additional day of annual leave for each year of service
High degree of autonomy
Access to cutting-edge technologies
Relocation package
Visa support

About the Company

N26 has reimagined banking for today’s digital world, using technology and design to build the global banking platform the world loves to use.
They have eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings.
Their mission is to give people the power to live and bank their way.
Headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Equal Opportunity

N26 believes its strength lies in its people and the varied perspectives they bring.
They strive to build diverse teams that drive innovation and business success.
They actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.
They are committed to providing an excellent and accessible candidate experience.
If accommodations are required, candidates should notify N26.