04 ago - Lazio
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
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
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
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
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?
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.
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Are fluent in English – German is a plus.
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