Senior Analytics Engineer-Commercial Intelligence

Ready to lead, disrupt and reinvent the sleep industry?

We are Emma – The Sleep Company. Founded in 2015, we have grown into 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 simple: to develop sleep comfort products that empower our customers to awaken their best every day. Today, our products are trusted by millions and recommended by leading consumer associations worldwide. 

It’s our people who bring this mission to life. At Emma, you’ll join a driven, international team that values ownership, collaboration, and continuous knowledge sharing. With colleagues from over 70 nationalities, we combine diverse perspectives with a shared ambition to learn, grow, and create lasting impact, together. 

Ready to awaken your best with us? 

You'll join the Commercial Intelligence team, a cross-functional, domain-focused team of Analytics Engineers, Data Engineers and Data Analysts. The team owns profitability metrics for the entire business. It is also taking its first steps in bringing website and revenue data together, so we can see the full funnel from first visit to final margin.   Roles in the team have fluid borders. You won't hand work over a wall. You'll pick up tasks from your teammates, and they'll pick up yours. You'll build 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 modelling decisions based on Kimball's design principles, and help the team apply them consistently.
• Extend the core data warehouse model with new data points.
• You'll 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 team.
• You'll pick up ingestion, pipeline and analysis work when the team needs it, and share your modelling knowledge in return.
• Support development with and around AI. That includes using AI tools to speed up your own engineering work, and building well-documented, reliable data foundations that AI use cases can build on.
• 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, and with 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  Solid Python skills.
• A very strong grasp of Kimball modelling principles, and the ability to explain them well enough to bring others along.
• Comfort working across disciplines.
• You enjoy engineering and analysis work alongside modelling, and you're happy to learn from teammates with different strengths.
• Curiosity about AI. You already use it in your work, or you're keen to start, and you have ideas on how it can improve data development and data 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.

Become an Emmie 

We are on a mission to become No.1 in the world of sleep, and we’re looking for driven, ambitious people to help us shape what’s next. If you’re curious, hands-on, and ready to challenge the status quo, you’ll find the space here to make things happen and create real impact.  

We are proud to be an equal opportunity employer and are committed to building an inclusive workplace. We celebrate diversity and consider all qualified applicants regardless of race, ethnic origin, religion or belief, gender, gender identity or expression, sexual orientation, national origin, disability, or age. 

Our aim is to get back to you within a few days. Due to the high volume of applications, there may be slight delays, but we’ll get back to you as soon as possible.