KEY JOB ACCOUNTABILITIES
 
 Applies advanced logic, statistical, and analysis techniques to build, maintain, and improve L’Oréal data-related solutions. Work alongside the business to answer its requirements and expected outcomes.

 Identify Business Needs
 •  Work with brand stakeholders to identify the business requirements and analytics problems to solve.
 •  Develop innovative and effective approaches based on business analysis and data analysis.
 
Build a data-driven solution
 •  Understanding the concept of data flow and data integration across different systems.
 •  Basic knowledge of cloud, GCP, CDP, SFMC, and SFCC related solutions would be a plus.
 •  Identify, analyze, and interpret trends or patterns in complex data sets
 •  Experienced in implementing data analysis results in business scenarios and optimizing business performance.
 •  Present and depict the outcomes of their finding in easy-to-understand terms for the business stakeholders.
 
Ensure Data Collection, Quality, and Retention
 •  Collaborates with the business team to select the relevant sources of information (primary or secondary data sources, strategic approach…).
 •  Works with Digital IT teams to support data collection, integration, and retention based on the input collected with the business team.
 •  Implement data-related systems and other strategies that optimize statistical efficiency and data quality
 
 PROFESSIONAL & TECHNICAL COMPETENCIES
 
 DIGITAL TRANSFORMATION LEADERSHIP
 •  Strategizes digital transformation
 •  Upskills and transmits digital knowledge and mindset
 •  Drives the change toward brand and consumer centricity
 •  Leads toward a data-driven organization 
 •  Scales consumers' and influencers' engagement

EXPERTISE
 •  Leads with strong agile project management skills
 •  Acts as a strategic business partner
 •  Has deep technical skills
 •  Focuses on delivery: design/build/run