PowerBI Developer

at  Sanofi

KEY RESPONSABILITIES

The following key activities will be performed by this role:

• Identify and define requirements for data analysis.
• Collect data required for data analysis, perform data cleaning if necessary.
• Analyze, manipulate, and interpret the data from the data analysis.
• Maintain interactive dashboards for any changes.
• Help to build up continuous development pipeline.
• Coordinate projects and stakeholders for ongoing initiatives.
• Educate and enable business users to use data visualization tools.
• Act as a consultant for any data visualization related topics for stakeholders.
• Help to identify gaps in the process for process continuous improvement.

Expected Skills

EXPERIENCE:

• Hands-on experience in development and maintenance of PowerBI dashboards
• Advance level Power Query Editor and DAX functions, PowerBI development (Desktop), Microsoft SQL Database and Excel knowledge
• Data Science experience to build business cases for ML opportunities

Soft skills:

• Good presentation skills with the ability to present non-technical details to technical audience and vice versa
• Transversal mindset, the ability to work across processes, geographies, languages, cultures and business maturity levels
• Strong delivery orientation - converting strategy and high-level plans into action
• Openness to new tools

Technical skills:

• Ability to understand, analyse and visualize data
• Knowledge of transactional back office systems and reporting systems (Coupa, SAP, Worday, eBuy, etc.)
• Expertise in SQL
• Knowledge and experience with one or more Data Analytics packages or databases, i.e. SAS, R, SPSS, Python, VBA

Education: Bachelor’s degree in quantitative subject (computer science, mathematics, engineering, statistics or other scientific fields) or equivalent experience
Languages: Excellent knowledge of English language

• Identify and define requirements for data analysis.
• Collect data required for data analysis, perform data cleaning if necessary.
• Analyze, manipulate, and interpret the data from the data analysis.
• Maintain interactive dashboards for any changes.
• Help to build up continuous development pipeline.
• Coordinate projects and stakeholders for ongoing initiatives.
• Educate and enable business users to use data visualization tools.
• Act as a consultant for any data visualization related topics for stakeholders.
• Help to identify gaps in the process for process continuous improvement