Data Analyst
9 uur geleden
We are seeking a highly skilled Data Analyst to join our international E-commerce team in Amsterdam or Aarhus. As a Data Analyst, you will play a crucial role in driving data-driven decision-making across various business teams.
Key Responsibilities- Develop and maintain reports and analyses to support business teams, including Performance Marketing, Consumer and Growth.
- Present insights and recommendations to decision-makers, effectively communicating complex data-driven findings.
- Translate business questions into analytical problems, leveraging your expertise in data analysis and interpretation.
- Write technical requirements and documentation, ensuring seamless collaboration with tech teams.
- Advanced SQL skills, with experience in Google BigQuery, Google Analytics, and customer analytics.
- Excellent communication skills, with the ability to explain complex data insights clearly and concisely.
- Eagerness to learn new skills and share findings with the team, fostering a culture of collaboration and knowledge-sharing.
- Bachelor's or master's degree in a quantitative field, such as Economics, Business Analytics, Informatics, or Finance.
- Ability to thrive in a fast-paced environment, adapt quickly, and take ownership of your work.
- Fluency in English, with knowledge of an E-commerce business model.
- Experience with Python, Snowflake, dbt, Dataform, and Google Tag Manager.
At BESTSELLER, we are a global fashion company with a wide range of brands, including VERO MODA, ONLY, SELECTED, and JACK & JONES. Our E-commerce team is an international group of 170 people from over 40 nationalities, working together to drive all e-commerce functions at BESTSELLER. We value autonomy, flexibility, and entrepreneurship, empowering every individual to own their journey and develop themselves and their area from day one.
We are a family-oriented company that takes care of its employees, offering competitive salaries, 50% discount on all BESTSELLER brands, and a range of benefits, including flexible working times, a hybrid model, and a culture of trust, autonomy, and continuous feedback.
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