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About the Role

Swan is seeking a Data Analyst to join their Data team. This hybrid role involves partnering with business stakeholders to translate data into actionable recommendations and improving internal data practices, such as dashboard creation, KPI definition, and documentation. The role also includes driving AI adoption and enabling other teams to leverage data effectively.

Responsibilities

Partner with stakeholders to understand priorities and frame the right questions.
Lead data projects from scoping to delivery, translating analyses into recommendations.
Define and maintain KPIs, investigate edge cases, and write specifications for modeling logic.
Build and maintain Metabase dashboards and EXCO reports, treating them as products.
Take improvement ideas from across the team and turn them into structured projects.
Lead internal initiatives to enhance team efficiency and consistency (e.g., dashboard lifecycle, KPI definition, data catalog, documentation).
Drive adoption of new standards and practices within the data team.
Identify and test AI tools and practices to improve analyst effectiveness.
Run internal projects like Metabase training and data onboarding for new employees.
Ensure data logic accurately reflects business operations and safeguard data quality.
Build dbt models when necessary.

Requirements

6+ years of experience in data analytics.
Experience working closely with non-technical business stakeholders.
Fluent in SQL.
Proficient with a BI tool such as Metabase.
Proven experience leading the adoption of new standards or processes across a team without direct authority.
Pragmatic approach to process, focusing on lightweight standards that solve problems.
Demonstrated grit and follow-through in turning ideas into reality and maintaining project momentum.
Enjoyment in sharing knowledge through training, documentation, onboarding, or helping others become autonomous with data.
Ability to handle sensitive or confidential data with care and discretion.
Excited by a hybrid role combining business partnering and internal data improvement.
Alignment with Swan's values: team spirit, transparency, ownership, and humility.

Skills

SQL
Metabase
dbt (preferred)
Data Marts (preferred)
Data Catalogs (preferred)
KPI Governance (preferred)
Dashboard Lifecycle Management (preferred)
AI adoption

Location

Paris
Bordeaux
Berlin
Barcelona
Amsterdam
Milan

Work Type

Hybrid
Remote (2 days per week)

Experience Level

6+ years

Benefits

Meal Vouchers (Swile card)
25 days holidays + RTT
Monthly mobility package
Health insurance (Alan)
Sports discounts (Classpass, Gymlib)
Hybrid remote policy (2 days WFH/week)
Annual offsite event

About the Company

Swan is a leading European fintech specialized in embedded banking, recognized as a French Tech Next 120 laureate.
Over 100 European companies use Swan's Banking-as-a-Service platform to integrate banking services.
The company's vision is to simplify fintech development, enabling rapid integration and deployment.
Swan recently closed a 38M€ Series B funding round and is rapidly expanding across Europe.
They have over 230 employees ('Swanees') across offices in Paris, Bordeaux, Berlin, Barcelona, Amsterdam, and Milan.
Swan's core values are Simplicity, Long Term, Excellence, and Be Human.

Equal Opportunity

Swan is committed to providing a caring work environment for all employees, regardless of age, sex, disability, sexual orientation, race, religion, or belief.
Swan prioritizes work experience, skills, and personality in recruitment.
Diversity and inclusion are essential for strengthening the workplace and are areas Swan is actively working to improve.