Data Generalist (all genders)

Key Facts

• Start date: as soon as possible
• Capacity: 40 hours per week
• Location: Munich

buycycle & you

We are the leading marketplace for pre-owned bikes. And to help us grow and improve, we want you on the team. We're always looking for more talent with a variety of backgrounds.

About the role

As a Data Generalist (all genders), you will be the bridge between our data and business decisions, working across our tech stack of PHP, Next.js, Vue.js, and Flutter. You will extract, analyse, and interpret data to drive strategic initiatives and operational improvements. Your ability to turn raw data into actionable insights will be crucial for optimizing our marketplace platform and enhancing the customer experience as we continue to scale internationally.

Your responsibilities

• You collect, process, and analyse data from various sources to uncover patterns, trends, and insights.
• You build and maintain data pipelines, ensuring data quality, reliability, and accessibility.
• You develop dashboards and visualisations that communicate key metrics and business insights to stakeholders.
• You collaborate with product, marketing, and engineering teams to identify data needs and provide analytical support.
• You implement data-driven strategies to improve marketplace efficiency, user engagement, and conversion rates.
• You perform A/B testing and experiments to validate hypotheses and measure the impact of new features.
• You create predictive models to forecast marketplace trends, inventory needs, and user behavior.
• You establish data governance practices to ensure data quality and consistency throughout the organisation.
• You identify opportunities for process automation and optimisation using data analysis.
• You leverage AI and machine learning techniques to extract deeper insights and automate data analysis tasks.
• You optimise SQL queries and database performance for our growing data volume.

About you

• You have 3+ years of experience in data analysis, business intelligence, or a related field, with strong proficiency in SQL and relational databases.
• You have solid programming skills in Python or R for data analysis, including experience with statistical methods, AI/ML applications, and building data pipelines (ETL).
• You are proficient in data visualisation tools such as Tableau, Power BI, or Looker, with the ability to translate complex data into actionable insights for non-technical stakeholders.
• You have strong problem-solving abilities, attention to detail, and adaptability in fast-paced, ambiguous environments; you are fluent in English (spoken and written).
• Bonus: You have experience in e-commerce or marketplace data analysis and familiarity with environments like PHP, Next.js, Vue.js, or Flutter.

Why us?

• We're driven by data and fueled by passion. We don’t just work; we create impact.
• Cyclist or not, everyone’s welcome here. We embrace diversity because it strengthens our team.
• Every person — from working students to full-time contributors to Founders — is a vital part of the buycycle journey.
• Working in a startup takes grit and resilience. It can be challenging, but the rewards are exceptional growth and valuable learning experiences.
• We offer a personalised roadmap with in-house training opportunities tailored to your development goals.
• We believe that laughter and teamwork bring us closer together, which is why we prioritise regular group sports and team events.
• Looking for more? We provide all the modern perks you’d expect from a forward-thinking company.

The process

Hiring Manager call → case study → meet the team, People team & Founder

Empowering Diversity and Growth

We firmly believe that the right attitude, motivation and willingness to learn will lead to satisfaction and success for all interested parties at buycycle. Therefore, you are welcome to apply even if you feel that you do not meet all the requirements of the profile at this stage. We welcome all applications - regardless of gender identity, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity.