Senior Data Analyst - Germany team

05 ago - Roma
Pennylane

Role Overview
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As a Senior Data Analyst, you will join the Science & Analytics team (20+ people), inside the Data department (50+ people) and you will act as the data partner embedded in the Germany team.

Responsibilities

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- You will proactively use data to identify opportunities to grow our product and business, working across product squads and business teams.

- You will be a sparring partner for Product and Business leaders in Germany, feeding their strategy and answering important questions through analysis.

- You will steer decision‑making through rigorous analyses, navigating ambiguity and collaborating across domains when needed.

- You will contribute to our self‑service approach to analytics by understanding partners’ needs and promoting a data‑driven culture. You will contribute directly to data models in the data warehouse using dbt.

- You will contribute to shaping the Data Engineering roadmap to deliver the best experience for colleagues on the data platform.

Expectations
Within one month

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- You will learn everything about our company, teams, and vision during the first onboarding week.





- You will familiarise yourself with the stack and deliver small projects to see our tools & processes.

- You will meet stakeholders and gain deep knowledge of the Germany team you support.

Within three months

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- You will be fully in charge of supporting the Germany team and prioritising topics with decision makers.

- You will be comfortable with the technical stack (Python, Redshift, dbt, Amplitude).

- You will contribute to larger cross‑company projects.

Within six months

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- You will proactively contribute to the team's roadmap.

- You will work with engineers and data practitioners on improving the stack and data platform.

- You will share learnings and best practices within the team.

Who are we looking for?

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- Have had previous experience as a Data Analyst, ideally in scale‑up environments (5‑6 years).

- Are seasoned working with SQL, dbt and data visualisation tools.

- Are comfortable collaborating with Product and Engineering Managers, as well as Business partners, beyond the data team.

- Have strong business acumen and are seen as a trusted partner by stakeholders.

- Have strong communication skills and can articulate ideas clearly.

- Have a do‑er attitude and are comfortable with a MVP approach. xysqume

- Are fluent in English – German is a plus.

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