Responsible Sourcing Data Analyst

Richemont, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high‑end accessories. Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve the heritage and identity specific to each of them. At the same time, we are committed to innovating and designing new products in line with the values of our Houses, through a process of permanent creativity. Located in Richemont offices in Bellevue, she/he will report to the Responsible Sourcing Data & Tools Project Manager. The Responsible Sourcing analyst will be responsible for collecting, analyzing, and interpreting large data sets (ESG data, Suppliers data….) to extract valuable and actionable insights for Responsible Sourcing strategy, decision‑making, objectives setting, reporting and disclosure. This role involves translating complex data into understandable information, identifying trends and providing recommendations that support strategic business decisions in line with Responsible Sourcing strategy. As Responsible Sourcing Data Analyst, you will design reports and data visualizations and develop tools for internal ( Responsible Sourcing experts, Group procurement ) and external stakeholders ( mainly Regions/Maisons procurement and sustainability function ) – including but not limited to the preparation of reports and materials to communicate responsible sourcing key metrics. Ultimately, in a fast evolving Sustainability regulations context, this role will also contribute to the development of new sourcing key performance indicators, building a resilient Responsible Sourcing management system for the Group. The ideal candidate will possess strong analytical skills, a keen eye for detail, and the ability to communicate findings effectively to both technical and non‑technical stakeholders.

HOW WILL YOU MAKE AN IMPACT?

Data collection & Extraction Lead efforts to integrate data from various sources into the department applications, leveraging automation tools to streamline data processes Gather data from various sources, including databases, data warehouses, APIs, and external datasets. Develop and maintain automated data collection processes where applicable. Data Analysis & Modelling Perform exploratory data analysis to identify patterns, trends, and anomalies. Apply statistical methods and data modelling techniques to answer business questions. Develop and execute queries to extract and manipulate data for analysis. Key metrics, tools & application development Design, development and maintenance of the department in‑house applications, dashboards and key performance indicators Monitor their respective performance, identify areas for optimization, and implement enhancements to improve usability, performance, and scalability Document and record all developments Present complex data findings in a clear, concise, and compelling manner to various audiences. Data governance & Quality assurance Support the Responsible Sourcing Data & Tools project manager to establish and enforce data governance policies and procedures Clean, transform and validate data to ensure accuracy, completeness, and consistency of data used in Responsible Sourcing dashboards and reports. Identify & Resolve data quality issues. Support, Collaboration and Communication Collaborate closely with Responsible Sourcing experts to understand business requirements, gather insights, and update dashboards, reports Provide technical support and training to end‑users of Responsible sourcing dashboards, tools and applications Others transversal related tasks Support the Responsible Sourcing team in the development of supply chains ESG key metrics to align with sustainability frameworks and regulations – e.g GRI standards, CSRD, CSDDDD…

HOW WILL YOU EXPERIENCE SUCCESS WITH US?

Education: Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related discipline. Experience: Technical Skills: Analytical & Problem‑Solving Skills: Communication Skills: Business Acumen: Teamwork & Collaboration: Preferred Skills Master’s degree in a quantitative field. Experience with cloud data platforms (e.g., Google Cloud Platform). Knowledge of data warehousing concepts and ETL processes. Understanding of machine learning concepts and their application in business. #J-18808-Ljbffr Dormont Manufacturing Co