Data Analyst

Background

• You will be driving the development of data products for delivering digital solutions for circular services in the Digital Circular Ventures team.
• Our vision is to transform into a circular business by 2030, through developing customer facing circular services for the many.
• Currently we have three services in our portfolio: a Peer-to-Peer marketplace, Buyback & Resell and As-Is Online.
• You will work in Data & Analytics together with Data Engineers, Data Analysts, and Data Scientists. Together, you will be joining cross-functional teams consisting of colleagues from Engineering, Product and Design (PEDX), to design, implement and deploy products at scale. Your job will be a mix of understanding business needs, designing data solutions – and of course writing code.

Requirements:

• A strong background in analytics, computer science, econometrics or equivalent (at least MS or equivalent).
• Proven experience as a data analyst, with a minimum of 4 years in a mid-level role.
• Marketing analytics. At least 2-3 years experience with (digital) marketing data, analyzing and optimizing campaigns to drive better targeting, channel mix and conversion. Agency background preferred.
• Digital product development through Data Analytics.
• Enjoy figuring out how to use math, code and data to derive insights from large datasets in order to solve real-life, fast-paced business problems.
• Ability to translate complex findings into actionable insights for business stakeholders.
• Experience with Google Analytics + Big Query or similar web analytics tools.
• Experience with Optimizely or similar A-B testing tool preferred.
• Proficient in data visualization tools (preferably Power BI).
• Experience working with large datasets and databases.
• Solid understanding of statistical concepts and methodologies.
• Excellent communication and presentation skills.
• Hands-on and positive attitude.
• Detail-oriented with strong organizational and multitasking abilities.
• Familiarity with data governance and data quality best practices.
• Experience with dbt and Google Cloud is a plus.