Analytics Engineer - Customer Operations

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., 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., 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.

Do you have experience in Tableau?, 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