ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.
Job Description- Gather, analyze, and interpret data to fulfill reporting requests from business stakeholder
- Translate complex data into clear, actionable insights that support business strategy
- Support ad hoc analysis and contribute to data-driven decision-making
- Automate routine reporting processes and maintain existing reports to ensure reliability and improve data workflows
- Maintain, design and implement advanced dashboards using tools like Google Looker Studio, enabling self-service analytics across the organization
- Collaborate with data engineers, data scientists, and stakeholders across the organization to ensure data quality and consistency while delivering data-driven insights that support supply-related business decisions
- Communicate findings effectively to technical and non-technical audiences
- Foster a data-driven culture within the organization, promoting the use of analytics in decision-making processes
- At least 3 years of experience as a Data Analyst
- Strong proficiency in SQL for complex data analysis, reporting and querying large datasets
- Experience with Google BigQuery
- Experience with data visualization tools (e.g., Looker Studio, Excel, or similar) to create compelling dashboards and reports
- Experience in Python is a big plus
- Excellent communication skills
- Ability to translate fuzzy business requirements from diverse stakeholders into analytical requirements.
- Proactive and self-driven, with the ability to work independently and drive projects from conception to completion
- Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders
- Pragmatic and structured approach to problem-solving, consistently delivering efficient, data-driven solutions.
- Attention to detail and commitment to data quality and accuracy
Your perks at a glance: Visit our benefits page.
Simply apply online via our career page - we will get back to you as soon as possible!
A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
Skills Required
- At least 3 years of experience as a Data Analyst
- Strong proficiency in SQL for complex data analysis, reporting, and querying large datasets
- Experience with Google BigQuery
- Experience with data visualization tools such as Looker Studio, Excel, or similar
- Experience with Python
- Excellent communication skills
- Ability to translate business requirements into analytical requirements
- Ability to work independently and drive projects from conception to completion
- Collaborative mindset and ability to work cross-functionally with stakeholders
- Pragmatic and structured problem-solving approach
- Attention to detail and commitment to data quality and accuracy
What We Do
SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.
