Senior Data Analyst

vor 2 Wochen


Neuenburg, Neuenburg, Schweiz Bulgari Horlogerie SA Vollzeit
Job Title: Senior Data Analyst

At Bulgari Horlogerie SA, we are seeking a highly skilled Senior Data Analyst to join our Data, Business Intelligence, and AI team. As a key member of our team, you will be responsible for collecting, analyzing, and interpreting large datasets to provide business insights using Power BI.

Key Responsibilities:

  • Develop and maintain Power BI reports for departments, including High Management, Marketing, Operations, and AFSS.
  • Create dataflows and semantic models within Power BI to enhance reporting capabilities.
  • Collaborate with cross-functional teams to understand business objectives and translate them into clear, actionable reporting metrics.
  • Train and support internal teams in the effective use of Power BI and establish a Power BI users' community.
  • Work closely with the Data Engineering team to optimize ETL pipelines and data transformation processes within the Microsoft Azure environment.
  • Stay updated on data analysis tools, techniques, and industry trends to continuously improve the data strategy.

Requirements:

  • A Master's degree in computer science, data science, business intelligence, or a related field.
  • A minimum of 5 years of experience in Business Intelligence, specifically focusing on Power BI.
  • Expertise in data transformation processes within Power BI (Dataflows, Semantic Models, and access management).
  • Proficiency in SQL and familiarity with Data Engineering practices, particularly in ETL and pipeline management within the Microsoft Azure ecosystem.
  • Fluency in both French and English is mandatory; knowledge of Italian is a plus.

About Us:

Bulgari Horlogerie SA is a leading luxury brand with a rich history dating back to 1884. We are committed to excellence, enthusiasm, and passion in everything we do. Our team is dedicated to providing the tools and insights necessary to enhance business performance while contributing to the ongoing evolution of our data-driven strategies.


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