Senior Data Analyst - Germany team

Pennylane SAS

3d • Remote

About The Position

Pennylane is seeking a Senior Data Analyst to join their fast-growing Germany team. This role is crucial for building the analytics foundation of a high-growth business unit and directly shaping decision-making processes. The Senior Data Analyst will act as a data partner embedded in the Germany team, proactively using data to identify opportunities for product and business growth. They will collaborate with product squads and business teams, serving as a sparring partner for leaders, steering decision-making through rigorous analyses, and contributing to a self-service analytics approach. The role also involves contributing to data models in the data warehouse using dbt and shaping the Data Engineering roadmap.

Requirements

• Previous experience as a Data Analyst, ideally in scale-up environments (5-6 years).
• Seasoned working with SQL, dbt and data visualization tools.
• Comfortable collaborating with Product and Engineering Managers, as well as Business partners, beyond the data team.
• Strong business acumen and seen as a trusted partner by business stakeholders.
• Strong communication skills and capable of articulating ideas clearly.
• Do-er attitude and comfortable with MVP approach.
• Fluent in English.

Nice To Haves

• German language skills are a plus.

Responsibilities

• Act as the data partner embedded in the Germany team.
• Proactively use data to identify opportunities to grow the product and business.
• Work across both product squads and business teams (CS, AMs, Ops).
• Serve as a sparring partner for Product and Business leaders in Germany, feeding their strategy by anticipating the most important questions.
• Leverage analytical and statistical skills to answer key questions.
• Steer decision-making through rigorous analyses, navigating ambiguity and collaborating across domains.
• Contribute to the self-service approach to analytics by understanding partners' needs and promoting a data-driven culture.
• Contribute directly to data models in the data warehouse (using dbt).
• Contribute to shaping the Data Engineering roadmap to deliver the best experience for colleagues on the data platform.
• Recruit and mentor new team members (beyond 6 months).
• Take on increased accountability in project leadership (beyond 6 months).
• Design and implement new processes, tools, and best practices (beyond 6 months).

Benefits

• Opportunity to build the analytics foundation of a high-growth BU.
• Directly shape how the team makes decisions and scales.
• Work in a fast-growing international environment with a strong remote-friendly culture.
• Be part of a company that is one of the fastest growing Fintechs in France.
• Opportunities to recruit and mentor new team members.
• Increased accountability in project leadership.
• Responsibilities to design and implement new processes, tools and best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed