We are seeking an experienced and strategic Analytics Manager to lead the Everyday Banking domain (Payments, Cards, and Core Account Lifecycle) , one of our cross-functional areas shaping the development of one of the world's leading FinTech products.

About the opportunity

As an Analytics Manager, you will own the analytics strategy and execution for our Product & Business Segments within the respective domain.

You are responsible for ensuring data is at the core of decision-making, fostering a strong data culture, and enabling teams to deliver measurable business impact. You will work in a cross-functional setup, leading a team of ~4 data analysts while partnering closely with engineers, designers, product managers, and senior business stakeholders.

This is a hands-on leadership role, where you are expected to split your time between:

~50% individual contribution, focusing on the most complex and high-impact analytical problems
~50% team leadership and management, ensuring your team delivers high-quality work and continues to grow

In this role, you will:

Help us set the right goals: Define and align domain-level KPIs and OKRs, ensuring teams are focused on the highest-impact opportunities. Establish frameworks that connect product initiatives to measurable business outcomes.

Inform product roadmap:Drive the analytics roadmap for your domain, proactively identifying strategic opportunities, risks, and trends. Ensure insights consistently shape product and business strategy across multiple teams.

Be a strategic partner: Act as a trusted advisor to senior stakeholders, influencing decision-making through high-level insights and clear recommendations. Translate complex data into business strategy.

Handle stakeholders: Own relationships with senior stakeholders across Product, Marketing, Tech and Leadership. Align cross-functional priorities and ensure analytics work is tightly integrated with broader business goals.

Evaluate initiatives: Oversee experimentation and measurement strategy across teams. Ensure robust test design, execution, and interpretation, maintaining a high bar for analytical rigor and business relevance.

Contribute to self-serve data platform: Drive the development of scalable analytics foundations in partnership with engineering. Ensure teams have access to reliable data, tools, and frameworks to independently generate insights.

Provide monitoring tools: Ensure the team delivers high-quality dashboards and monitoring systems that track performance against company OKRs. Define standards for clarity, usability, and impact.

Improve data literacy of organisation: Scale data literacy across the organization by enabling teams to better understand and use data. Establish training programs, frameworks, and best practices that empower self-serve analytics.

Be part of our data-community: Lead collaboration across analytics teams, contributing to shared standards, tooling, and strategic initiatives. Act as a thought leader within the broader data organization.

Support some of the following product & business team initiatives (not limited to):

Guide teams in discovering new product opportunities, identifying user friction points, and prioritizing high-impact initiatives
Ensure continuous product releases are evaluated against business goals using robust analytical methods
Partner with UX research to combine qualitative and quantitative insights for stronger decision-making
Ensure data tracking and instrumentation are properly designed to enable future analysis and measurement
Personally lead the most complex and ambiguous analyses within the domain, setting the standard for quality and impact

What you need to be successful:

Background:

5+ years of experience as an individual contributor in analytics or a related field
1+ year of experience managing people, leading a team of 3–4 data analysts
Proven track record of driving business impact through data

Skills:

Causal inference & impact measurement: Deep expertise in methods (uplift modeling, quasi-experiments, counterfactuals) to measure true business impact beyond surface metrics.
Experimentation: Strong track record designing and scaling A/B, multivariate, and observational analyses when experimentation isn’t feasible.
Strategic problem-solving: Ability to structure ambiguous business problems into rigorous analytical frameworks that inform product and growth strategy.
Analytics & Engineering: High proficiency in SQL and Python/R for analysis, experimentation, and modeling.
LLM & self-serve analytics: Experience leveraging LLMs and conversational interfaces to enable scalable, self-serve analytics.
Data storytelling: Communicates complex insights clearly using modern BI tools (Tableau, Looker, Metabase, Superset).
Stakeholder influence: Confident communicator with fluency in English, who challenges assumptions, aligns cross-functional teams, and drives data-informed decisions.

Nice to have:

Experience in the specific domain
Experience in high-growth environments
Experience in fintech
Experience building or scaling analytics teams or functions

What’s in it for you:

Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
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.
A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds.
A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

We are 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.

Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles!

Equal opportunities for all

At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.

We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!

Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion

Data Analytics Manager - Everyday Banking

Job Description