Senior Data Analytics Manager

Senior Data Analytics Manager 

NYC (hybrid) 

 

 

COTY is looking for smart leaders who are fast and passionate.

 

 

ROLE AND DEPARTMENT

In a rapidly evolving digital landscape, the Coty Group has developed an ambitious, data-driven roadmap to facilitate data-led decision-making, using brand, consumer, and retailer data to generate actionable insights.

Part of the Central Digital team, under the responsibility of the Measurement & Advanced Analytics Director, the Advanced Analytics Senior Manager will be responsible for leading advanced data science projects, developing scalable models, extract business insights, collaborate with teams and agencies, and provide expert guidance on data science solutions.

 

THE ROLE

In this role you will be responsible for:

• Drive intelligence from our data (predictive & prescriptive areas), run complex projects, utilizing advanced algorithms to extract insights for business value (internally or via preferred partners).
• Oversee advanced data science model development across all data analytics domains.
• Execute complex queries on Google Cloud Platform (GCP) or AMC for data analysis within the Data Hub specs.
• Collaborate with teams to define project requirements and align with strategic goals.
• Provide expertise and guidance on data science topics to stakeholders.
• Develop scalable data science solutions for reliable production deployment.
• Collaborate with our econometrics and data agencies to meet the needs of our marketing and digital teams.

 

The role is based in New York with the possibility of a hybrid working schedule with a maximum of 50% days remote monthly.

 

KEY CONTACTS (INTERNAL & EXTERNAL)

INTERNAL: 
 

• The Central Digital Team
• Data Hub
• A&CP cockpit
• Markets Media & Trade Marketing teams
• Global Brand teams

 

EXTERNAL: 

 

• Media Agencies
• Data and BI Agencies incl. Ekimetrics, Artefact, …

 

 

WHAT YOU’LL BRING

 

We’d love to see candidates who have:

• Professional with 5+ years of experience data science applied for marketing
• Proficiency in data analytics platforms, database, & computation, visualization  tools (SQL, Python, Databricks, Jupyter Notebooks, R, Github etc)
• Proficiency in statistical analysis and data modeling
• Expertise in data interpretation and deriving actionable insights