
at N26
FinTechPosted 14 days ago
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**Data Analyst - Ops Automation & Enablement** Analyze Agentic AI and CRM workflows to drive operational transformations. Embedded in Service and Platform Enablement, you'll evaluate hyperautomation initiatives, track efficiency gains, and engage stakeholders. - **Responsibilities:** Set goals, manage stakeholders, evaluate AI & automation initiatives, drive process mining & CRM analytics, contribute to data platform, provide monitoring tools, improve data literacy. - **Skills:** Advanced SQL, Exploratory Data Analysis, Enterprise CRM data proficiency, BI & data visualization, experimental & statistical rigor, stakeholder communication. - **Seniority:** 3+ years of experience in Operations Analytics, Product Analytics, or Business Intelligence.
- Compensation
- Not specified
- City
- Berlin
- Country
- Germany
Currency: Not specified
Full Job Description
Data Analyst - Ops Automation & Enablement
In this role, you will:
- Set the right goals: Help us establish clear, measurable targets based on an initiatives scope, while improving overall forecasting and ROI modelling (e.g., FTE impact, handling times, error rates, and cost-per-unit).
- Manage stakeholders: Serve as the internal go-to person for operational, product, and business teams on data-related questions, translating operational friction into structured analytical solutions.
- Evaluate AI & automation initiatives: Support experimentation and testing frameworks; design test plans, benchmark Agentic AI and hyperautomation workflows, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights through empathetic, clear documentation.
- Drive process mining & CRM analytics: Query and analyze complex event data from enterprise CRM platforms and core backend infrastructure to identify workflow bottlenecks, evaluate continuous releases, and support end-to-end process redesign.
- Contribute to our self-serve data platform: Help build solid analytics foundations by pairing with technical peers and data engineers to define data model requirements, enabling product and operational teams to extract insights independently.
- Provide monitoring tools: Build and maintain reliable, automated BI dashboards that your team relies on every week to ensure initiatives directly impact company OKRs and operational SLAs.
- Improve data literacy & engage with the data community: Educate teams to become self-sufficient in data access through function-led training and workshops, while collaborating with the broader N26 analytics community to leverage shared platforms, insights, and innovations.
- Support product & business discovery:
- Support teams in discovering new product ideas and operational opportunities by combining quantitative data with qualitative insights from UX research.
- Ensure all necessary data for future evaluation is captured during development through proper setup of tracking events or backend services.
- Drive quantitative analysis across your domain, taking ownership of business discovery and data-backed recommendations for your segment.
What you need to be successful:
Background- 3+ years of experience in Operations Analytics, Product Analytics, or Business Intelligence, ideally working directly alongside Product Managers in FinTech, tech, or high-volume operational environments.
- Demonstrated track record modeling process efficiency metrics, failure demand, cost savings, or operational automation projects.
- Advanced SQL: Strong capability to query, manipulate, and extract actionable insights from large, multi-table relational databases.
- Exploratory Data Analysis (Python/R): Proficiency in Python or R for statistical analysis, data cleaning, trend identification, and hypothesis testing.
- Enterprise CRM Data Proficiency: Hands-on experience extracting and analyzing operational data, ticket flows, and user journeys from enterprise CRM systems.
- BI & Data Visualization: Skilled in using tools like Power BI, Tableau, Looker, or Metabase to transform raw data into clear, intuitive dashboards and operational reports.
- Experimental & Statistical Rigor: Solid understanding of A/B testing, observational methods, and operational metrics (e.g., AHT, failure demand, STP rates).
- Stakeholder Communication: Ability to translate complex data findings into actionable insights and present recommendations clearly to cross-functional business partners.
- Prior experience evaluating machine learning outputs, LLMs, conversational agents, or automated workflow logic.
- Familiarity with process-mining concepts or workflow analysis tools.
Whats in it for you:
- Accelerate your career growth by joining one of Europes 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.




