Data Analyst

Job Description:

We are seeking an experienced Data Analyst to lead and coordinate analytical initiatives within one of our Digital Value Streams in Commercial Development & Growth. This role covers the full analytical lifecycle—from hypothesis development, data analysis, to actionable insights and strategic recommendations—while ensuring data quality, accessibility, and reliability throughout the process.

Responsibilities:

→ Collaborate with Product Managers and Value Stream Managers to shape product strategies and prioritize initiatives through data-driven insights

→ Drive customer-centricity by analyzing behavioral, commercial, and product performance data to enhance the digital experience

→ Define and monitor key KPIs and implement event tracking to evaluate product performance and ensure alignment with objectives

→ Lead the development of business cases by integrating commercial, digital, and user behavior insights

→ Promote a data-driven culture by improving data visibility, educating stakeholders, and translating complex data into actionable narratives

→ Utilize SQL and tools such as BigQuery, Looker, and Power BI to explore, visualize, and communicate insights

→ Actively contribute to the analytics community across CD&G and the wider organization

Your Work Environment:

→ Join a global, cross-functional team dedicated to delivering exceptional digital experiences through close collaboration, user-centered design, and continuous iteration

→ Work with team members with expertise in Product Design, Analytics, and Engineering, closely collaborating with other product teams and key business stakeholders

We are looking for candidates with:

→ Experience in product or business analysis, customer or commercial analytics, or management consulting

→ Strong experience with SQL; Python is a plus

→ Experience with cloud analytics environments such as Databricks or GCP

→ Experience in e-commerce, retail, fashion, or product-driven tech companies

→ Academic degree in Business Administration, Economics, Engineering, or similar

→ Experience with data visualization tools such as Power BI, Tableau, Google Data Studio, Looker Studio, etc.

→ Proven ability to synthesize large data sets into clear insights

→ Ability to collaborate with multiple stakeholders across different competences (e.g., Commercial Leads, eCommerce Managers, Product Managers, Developers, Designers, Data Engineers)

→ Comfort working in a large matrix organization

→ Strong communication skills, with the ability to explain data and its implications to diverse stakeholders

→ Analytical mindset and strong problem-solving skills

→ Fluent in English, both written and spoken

Merit-worthy experience:

→ Experience in agile, iterative product development environments

→ Proactive, ownership-driven attitude, able to manage ambiguity and adapt quickly to change

→ Curious and continuously looking for ways to improve products and team ways of working

Note: CVs must be submitted in English