Analytics Engineer

Role Overview

As an Analytics Engineer, you will lead initiatives that reinforce Richemont Europe’s position as a strong partner and business enabler for our Maisons. You will empower data-driven decision-making for our Functions & Maisons through data enablement.

What You Will Do

You will design, build, and maintain robust and scalable data models and pipelines that transform raw data into clean, reliable, and query-ready datasets for analysts and business users. You will ensure data integrity, performance, and accessibility, enabling efficient reporting and advanced analytics.

Why It Might Be a Fit

You will work closely with Data Scientists, Business Analysts, and Data Engineers to understand data requirements, translate business logic into technical specifications, and deliver high-quality data solutions.

Requirements

• Strong proficiency in SQL for data manipulation, transformation, and querying.
• Experience with data warehousing concepts and technologies (e.g., Google BigQuery).
• Proficiency in a scripting language, preferably Python, for data processing and automation.
• Experience with data transformation tools, especially dbt (data build tool), is highly desirable.
• Familiarity with cloud platforms (e.g., GCP, AWS, Azure) and their data services.
• Understanding of data modeling techniques (e.g., Kimball methodology).
• Experience with version control systems (e.g., Git).
• Strong analytical and problem-solving skills with attention to detail.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Ability to manipulate and condense large volumes of data into succinct and powerful visualizations (graphs, charts, diagrams, dashboards, pivot tables)

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Life insurance
• Retirement plan
• Paid holidays
• Vacation time
• Sick leave
• Parental leave
• Wellness programs
• Employee assistance programs
• Professional development opportunities