Senior Reporting Data Analyst

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.

• About the opportunity
• The Senior Reporting Data Analyst plays a key role in supporting the French Regulatory Reporting team by developing, maintaining, and optimizing the data models, pipelines, and scripts used for French regulatory submissions. The role ensures high-quality data, reliable transformations, and seamless alignment between French regulatory requirements and our data/tech teams.
• In this role, you will:
• Working with the French Regulatory Reporting team who are our experts in regulatory reports, in order to match regulatory requirements to the data which is living in our DWH.
• Build and automate data models.
• Data profiling, finding the right data, requesting missing data, etc.
• Conducting data quality investigation.
• Define, build and maintain processes that deliver crucial data to internal and external stakeholders.
• Automate everything what is possible.
• Learn about regulator reports and accounting principles.
• Maintain your work well documented, reproducible and reliable.

• What you need to be successful:
• Background:
• Minimum 5 years of experience working with data.
• Fluent in English & French.
• Advanced knowledge of SQL is a must (Postgres or Redshift preferred).
• You love working with data, and you become very creative when analyzing data.
• You are independent problem solver who owns the process from the beginning till the end, however you also know how to recognize when to ask for a help.
• You are curious, responsible, self-motivated, detail oriented empathic leader and a strong communicator.
• Advanced SQL Skills:
• Expert-level proficiency in SQL for querying, data manipulation, and performance optimization.
• Ability to write complex SQL queries, stored procedures, CTEs, and window functions.
• Strong understanding of database normalization, indexing, and query performance tuning.
• dbt (Data Build Tool) Knowledge (optional but beneficial):
• Proficiency with dbt for transforming, testing, and documenting data pipelines.
• Experience in building dbt models.
• Knowledge of dbt best practices, such as modularity, reusability, and testing of data models.
• Programming Languages (optional but beneficial):
• Experience in Python for data manipulation, analysis, and automation of data workflows.
• Version Control:
• Familiarity with Git for version control, especially within dbt and SQL code management.