Analytics Engineer - Commercial Intelligence

About Emma – The Sleep Company

We are Emma – The Sleep Company, founded in 2015, the world’s largest direct-to-consumer (D2C) sleep brand, with a presence in over 20 markets and more than 35 Emma stores across Europe. Our mission is to develop sleep comfort products that empower customers to awaken their best every day. Our products are trusted by millions and recommended by leading consumer associations worldwide.

About the Role

You'll join the Commercial Intelligence team, a cross-functional team of Analytics Engineers, Data Engineers, and Data Analysts. This team owns profitability metrics for the entire business and is pioneering the integration of website and revenue data to create a unified funnel view from first visit to final margin. Roles in this team are fluid, with collaborative ownership of tasks.

You'll work with dbt and Redshift, own what you ship, and help shape how we use AI in and around our data work.

• Own the T in ELT within the Commercial Intelligence domain, from raw data to trusted, analysis-ready models.
• Make data modeling decisions based on Kimball's design principles and help the team apply them consistently.
• Extend the core data warehouse model with new data points.
• Start with profitability metrics and connect web analytics and revenue data into one funnel view.
• Work closely with Data Engineers and Data Analysts in one cohesive team.
• Pick up ingestion, pipeline, and analysis work as needed, sharing your modeling knowledge in return.
• Support development with and around AI, including using AI tools to speed up engineering work and building reliable data foundations for AI use cases.
• Ensure data integrity, consistency, and security.
• Set up proactive data monitoring and alerting.
• Build strong relationships with stakeholders in E-Commerce, Marketing, and other commercial teams, as well as upstream and downstream data teams.
• Contribute to a collaborative, high-performing team culture.
• Manage several projects at once in a fast-paced, agile environment.

• At least 5 years of experience in Analytics Engineering, strong SQL and dbt skills, and solid Python skills.
• A very strong grasp of Kimball modeling principles, with the ability to explain them effectively to others.
• Comfort working across disciplines.
• Enjoyment of both engineering and analysis work alongside modeling, with a willingness to learn from teammates.
• Curiosity about AI, with current use of AI in work or a keen interest to start, and ideas on how it can improve data development and products.
• Analytical and problem-solving skills, including a good sense for the commercial questions behind the data.
• Strong communication and interpersonal skills.
• Proven ability to work autonomously and drive projects from idea to production.

Nice to have:

• Experience with e-commerce, web analytics, or marketing funnel data.
• Experience with profitability, margin, or financial reporting metrics.
• Experience building semantic layers or documentation that AI tools can use.