About the role
The Manager, People Data & Analytics acts as the expert for the built and maintenance of robust and reliable data products ranging from reports over dashboards to analyses and insights. The incumbent leverages their technical data and analytics capabilities to facilitate data enabled decision making across the P&O function while playing a pivotable role in supporting insights generation and storytelling.
The impact you can create at CHANEL
Dashboarding & Semantic Modeling
Build and maintain semantic models for advanced KPI tracking ensuring that analytics reflect the nuances of metrics and business logic.
Develop interactive custom PowerBI dashboards and ensure ongoing support (bug fixing, enhancements, regular maintenance, etc.).
Ensure clear and concise data visualization for intuitive usage in support of consistent tracking and storytelling.
Business Insights & Decision Support
Drive and execute reporting and analytics projects while providing ongoing support.
Analyze and explore datasets to uncover patterns, trends, and performance drivers that include cross domains, cross markets or divisions through the use of analytical tools.
Translate data into actionable insights by combining quantitative analysis with qualitative understanding and support storytelling that enables people decision making.
Continuous Improvement and Capability Building
Track the adoption and business impact of delivered data products, ensuring they are fit for purpose and support decision making.
Develop and maintain the documentation of KPI dictionaries and analytics standards.
Continuously strive for improved and enhanced data models, pipelines and overall data products.
Ensure full compliance with data governance, quality and other applicable standards.
Documentation & Communication:
Maintain clear documentation of data sources, definitions, business logic, and dashboard specifications. Communicate updates and changes to all stakeholders.
Your Success Measures:
Improved availability of relevant performance measures, insights and data products that enable storytelling and decision making.
Increased adoption and usage of dashboards, reports and analyses by relevant interest groups.
Elevated analytics literacy and data-driven culture within the People & Organisation function.
You are Energised by
The ability to translate data and complex analytics for non-technical stakeholders.
Business impact you can create through delivering exceptional client experiences and enabling data-driven decision making.
What You Will Bring
Bachelor’s or Master’s degree in Data Engineering, Computer Science, Analytics, or a related field.
5+ years of experience in data engineering, data modelling, or analytics solution development.
Strong hands-on experience with Databricks, PySpark, Microsoft Fabric, and SQL.
Expertise in Power BI, including semantic modeling and DAX optimization.
Passion enabling data-driven insights and elevating a strong data culture.
First experience in insights generation and storytelling supported advanced analytics models.
Experience working with business stakeholders in regional environment is an advantage.
Knowledge of HR processes and specifics is an advantage.
Experience with luxury retail is an advantage.
Technical Capabilities Required:
Dashboarding tools (Power BI, Tableau, or similar).
SQL Proficiency: Strong hands-on experience in writing complex queries for data extraction, transformation, and analysis.
Python & PySpark: Working knowledge to collaborate with data engineering and modeling teams, and to handle large-scale data processing tasks.
Databricks Navigation: Ability to work within Databricks notebooks, run queries, manage workflows, and collaborate across teams.
Dashboard Development: Capable of building dashboards from scratch using tools like Power BI, Tableau, or Looker, with a focus on usability and business relevance
Data Visualization: Skilled in designing clear, impactful visualizations that support storytelling and decision-making.
Documentation: Committed to maintaining comprehensive documentation of data sources, definitions, and key business logic.
Insight Translation: Ability to interpret raw data and transform it into actionable insights for business stakeholders.
At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to Chanel.
Skills Required
- Bachelor's or Master's degree in Data Engineering, Computer Science, Analytics, or a related field.
- 5+ years of experience in data engineering, data modelling, or analytics solution development.
- Strong hands-on experience with Databricks, PySpark, Microsoft Fabric, and SQL.
- Expertise in Power BI, including semantic modeling and DAX optimization.
- Experience with business stakeholders in regional environment.
- Knowledge of HR processes and specifics.
- Experience with luxury retail.
What We Do
CHANEL is a private company and a world leader in creating, developing, manufacturing and distributing luxury products. Founded by Gabrielle Chanel at the beginning of the last century, CHANEL offers a broad range of high-end creations, including Ready-to-Wear, Leather Goods, Fashion Accessories, Eyewear, Fragrances, Makeup, Skincare, Jewelry and Watches. CHANEL is also renowned for its Haute Couture collections, presented twice yearly in Paris, and for having acquired a large number of specialized suppliers, collectively known as the Métiers d’Art. CHANEL is dedicated to ultimate luxury and to the highest level of craftsmanship. It is a brand whose core values remain historically grounded on exceptional creation. As such, CHANEL promotes culture, art, creativity and “savoir-faire” throughout the world, and invests significantly in people, R&D and innovation. At the end of 2019, CHANEL employed more than 28,000 people across the world.
