In our team Ghostbusters you'll collaborate with business stakeholders and feature teams to understand the complex data landscape within Customer Operations Departments. You will convert raw data into comprehensive tables, actionable KPIs and insights by developing efficient and scalable data products. Additionally, you will provide ideas on leveraging data and analysis to enhance decision-making.
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Apply nowGalaxus
DG Hauptsitz
Pfingstweidstrasse 60b8005 Zürich
Calculate route### Key information
We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.
What you move
Main task
You create and maintain clear datasets and dashboards that power insightful data analysis and reporting, enabling data-driven decision-making across the Customer Operation Departments
Main task
Collaborate closely with Customer Operations teams to understand and prioritize their data needs, translating business requirements into scalable solutions.
Main task
You work together with software development teams to align on data requirements, understand data models and design interfaces, fostering a seamless flow of information and feedback between analytics and development teams.
Main task
Drive innovation by proposing and implementing advanced analytics solutions, focusing on enhancing the insights available to business partners.
Main task
Collaborate with your team to continually refine and improve internal processes and tools, identifying opportunities for increased efficiency, automation, and scalability in analytics workflows.
What you will bring
Several yearsTechnical or data focused fields
Completed degree (university / university of applied science / higher technical college)Technical or data focused fields
English (Fluent) German (Advantageous)Mandatory
Practical experience in a similar role, excellent SQL, and good Python skills are essential (experience with BigQuery is highly advantageous).
Mandatory
Proficiency in preparing, analyzing, and visualizing data is key, ideally using Tableau and relevant Python libraries and frameworks (pandas, matplotlib, shiny, streamlit, etc.). Familiarity with Multidimensional/Semantic Layers is a plus.
Mandatory
Experience with sustainable data modeling and complex data pipeline design is important. Familiarity in using a data orchestration tools like dataform or dbt and an understanding of modern data architecture concepts (Data Mesh) are a bonus.
Mandatory
Affinity for processes and Business KPIs is essential, along with a willingness to visit colleagues in Customer Service and Returns departments to observe how reporting and analysis impact daily business.
Mandatory
Experience in setting up and analyzing A/B tests would be a plus.
Mandatory
Using creativity and initiative to solve problems and achieve goals.
Mandatory
Identifying opportunities for improvement and implementing changes to enhance productivity and effectiveness.
Mandatory
Think and act with an absolute respect of human dignity and being aware of the human consequences of your decisions.
The benefits we offer
Werte statt blabla Mutig selbst denken Unkompliziert Flexibilität statt verbiegen Schnelles Wachstum Weitere Benefits SchweizApplication and contact details
Maja Crljen
Information for recruitment agencies
Only direct applications will be considered for this position.