Chief Data Insights Officer
Vor 3 Tagen
Bulgari Horlogerie SA is a renowned luxury goods company with a rich history dating back to 1884.
About Bulgari Horlogerie SAWe are committed to delivering exceptional quality and craftsmanship in our products, from jewelry and watches to accessories, perfumes, and luxury resorts.
Our data-driven approach enables us to make informed decisions and drive business growth.
Job Description: Senior Data AnalystWe are seeking an experienced Senior Data Analyst to join our Data, Business Intelligence, and AI team.
The successful candidate will be responsible for collecting, analyzing, and interpreting large datasets using Power BI to provide actionable insights and drive business performance.
This role involves:
- Ensuring the smooth transition of current reports and projects from the existing Senior Data Analyst.
- Developing and maintaining Power BI reports for various departments, including High Management, Marketing, Operations, and AFSS.
- Creating dataflows and semantic models within Power BI to enhance reporting capabilities.
- Collaborating with cross-functional teams to understand business objectives and translate them into clear, actionable reporting metrics.
- Training and supporting internal teams in the effective use of Power BI and establishing a Power BI users' community.
- Working closely with the Data Engineering team to optimize ETL pipelines and data transformation processes within the Microsoft Azure environment.
- Staying updated on data analysis tools, techniques, and industry trends to continuously improve the data strategy.
A competitive salary of $120,000 - $150,000 per year, depending on experience, is offered for this role.
The ideal candidate will have:
- A Master's degree in computer science, data science, business intelligence, or a related field.
- At least 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.
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