Analytics Engineer

Description

The company is a luxury group with Houses in jewelry, watches and high-end accessories. The company keeps each House's own style, quality and craft while designing new products that fit its values.

You will sit in the Business Performance team, reporting to the Data Enablement Manager. The team supports the company Europe's Functions and Markets as a partner and enabler, and your work is to help the Functions and Maisons make decisions based on data.

You will build data models and pipelines that turn raw data into clean, reliable datasets that analysts and business users can query, keeping the data accurate, fast and easy to reach. As the organization grows, you will also help build AI agents and automation (AI/ML).

Scope: the company Europe Functions (RRF) and Markets.

Responsibilities

• Design and maintain advanced data models for the analytical needs of the Functions and Maisons in Europe.
• Build, tune and run transformation pipelines in SQL, Python and other tools, moving data from source systems into the warehouse or lake.
• Set up data quality checks, validation rules and monitoring so the data stays accurate, consistent and reliable.
• Tune models and queries so reports and analytics run quickly at scale.
• Work with data scientists, business analysts and data engineers to understand data needs, turn business logic into technical specs and deliver solid data solutions.
• Create and manage access rules for the advanced data models.
• Write and keep up complete documentation for models, pipelines and data dictionaries.
• Use and help develop the modern data stack, such as dbt and BigQuery.
• Find and fix data issues to keep data available and correct.
• Build, maintain and deploy dashboards for business needs that have been identified.
• Run in-depth analyses and give actionable insights.
• Train and support business users so they use the analytics tools well.
• Help prepare budgets, strategic plans, business reviews, business development explorations and operational forecasts.
• Contribute to data-related business projects that find efficiencies, opportunities and risks, for example the commission scheme.
• Work with senior engineers and data scientists to design and build AI agents using machine learning, including large language models (LLMs).
• Drive the regional forecasting process, supporting the regional executive committee in budget preparation and the local logistics team in capacity planning.

Requirements

• Strong SQL skills for manipulating, transforming and querying data.
• Experience with data warehousing concepts and tools, such as Google BigQuery.
• Proficiency in a scripting language, preferably Python, for data processing and automation.
• Experience with data transformation tools, especially dbt (data build tool). This is highly desirable.
• Familiarity with cloud platforms (GCP, AWS or Azure) and their data services.
• Understanding of data modeling techniques, such as the Kimball methodology.
• Experience with version control, such as Git.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to explain things clearly to both technical and non-technical stakeholders.
• Ability to condense large volumes of data into clear visuals such as graphs, charts, diagrams, dashboards and pivot tables.
• Bachelor's or Master's degree in computer science, engineering, statistics, mathematics or a related quantitative field.
• Certifications in cloud data platforms or data engineering are a plus.

Conditions

Equal opportunity employer.