Senior Analytics Manager - Grow & Engage
N26 is hiring a Senior Analytics Manager - Grow & Engage in Berlin, Germany. Level rates it ; you can apply on N26.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Python, SQL and LLM among its tools and skills.
- N26 has 34 other open roles on Level.
- Posted in the last few days.
AI in this role
Lead a team of data analysts and drive complex analytics strategies including LLM-driven self-serve analytics foundations.
About the opportunity
You will work in the Grow & Engage domain. This is the heart of the customer experience ranging from the acquisition and signup to our premium membership tiers and the daily engagement of our users. You will work in teams delivering the newest and most innovative features serving our customers in the best way possible.
We are seeking an experienced Senior Analytics Manager to lead the analytics strategy for our Grow & Engage domain, specially focusing on Engagement, Primary Banking, and Subscriptions. You will lead a team of data analysts (up to 7) while personally driving the domain’s most complex strategic and technical areas to solve.
This role is hybrid from Berlin or Barcelona.
Role Breakdown
- 40% Team Leadership & Management: Scale, mentor, and manage the team and develop frontline management talent.
- 40% Strategic IC & Complex Analytics: Personally lead high-stakes analyses on user retention, primary account conversion, and subscription economics.
- 20% Domain Strategy & Data Foundations: Set domain KPIs with senior leadership and scale LLM-driven self-serve analytics foundations.
In this role, you will:
Team Leadership
- Manage & Scale: Lead the team across Engagement, Primary Banking, and Subscriptions, overseeing hiring, performance, and career growth.
- Maintain Rigor: Set high standards for analytical quality, code hygiene, and test design across the domain.
Business & Strategic Impact
- Define Domain Strategy: Partner with Directors/VPs of Product, Marketing, and Growth to align OKRs and shape together the retention and monetization roadmap.
- Primary Banking Loops: Build frameworks that identify key behavioral triggers driving users to adopt us as their primary bank (e.g., direct deposits, recurring payments).
- Subscription Economics: Oversee tier upgrade funnels, LTV modeling, churn prevention, and pricing elasticity for premium memberships.
- Causal Inference: Architect advanced measurement frameworks (uplift modeling, synthetic controls, quasi-experiments).
- Experimentation: Set the right experimentation framework for the whole domain: holdouts, A/B testing, etc.
Data Ecosystem & Community
- Self-Serve & LLM Analytics: Partner with Data Engineering to build scalable data assets and leverage LLM conversational interfaces for self-serve discovery.
- Data Literacy: Run training and workshops to raise data fluency across product and business squads.
- Data Chapter Leader: Contribute to company-wide analytics standards, tooling, and best practices.
What you need to be successful:
Background
- 3+ years of direct people management experience, leading mid-size teams of ICs and/or mentoring frontline managers/leads.
- 7+ years as an individual contributor in analytics/data science within tech or FinTech environments.
- Proven track record of driving revenue, retention, and executive-level product strategy through data.
Skills
- Causal Inference & Experimentation: Expertise in uplift modeling, counterfactuals, synthetic controls, and scaling A/B/n test design.
- Analytics Stack: High proficiency in SQL and Python/R for modeling and statistical analysis.
- Data Storytelling: Modern BI tooling (Looker, Tableau, Metabase, Superset) for executive reporting.
- LLM & Self-Serve: Experience leveraging LLMs to scale self-serve data access.
- Strategic Influence: Confident communicator capable of challenging assumptions and aligning cross-functional leadership.
Nice to Have
- FinTech, neobanking, or subscription product experience.
- Experience scaling analytics teams during high-growth phases.
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.
- 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.
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.
Sounds good? Apply now for this position.
Equal Opportunities:
We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.
We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com.
Visit our website to learn more about Diversity, Equity, & Inclusion at N26.
How we rate this
Senior Analytics Manager - Grow & Engage at N26 rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where team leadership was part of your work. What did you do?
- Tell me about a project where causal inference was part of your work. What did you do?
- Tell me about a project where a b testing was part of your work. What did you do?
- Tell me about a project where data strategy was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Team Leadership, Causal Inference, A B Testing, Data Strategy, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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