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About the Role

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 and is working to integrate website and revenue data for a full funnel view. Roles in the team have fluid borders, encouraging collaboration and shared ownership.

Responsibilities

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.
Connect web analytics and revenue data into one funnel view, starting with profitability metrics.
Work closely with Data Engineers and Data Analysts in one team.
Pick up ingestion, pipeline and analysis work when the team needs it, and share modelling knowledge in return.
Support development with and around AI, including using AI tools 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, other commercial teams, and upstream/downstream data teams.
Contribute to a collaborative, high-performing team culture.
Manage several projects at once in a fast-paced, agile environment.

Requirements

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.
Enjoy engineering and analysis work alongside modelling, and happy to learn from teammates with different strengths.
Curiosity about AI; already using it or keen to start, with 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.
Experience with e-commerce, web analytics or marketing funnel data (nice to have).
Experience with profitability, margin or financial reporting metrics (nice to have).
Experience building semantic layers or documentation that AI tools can use (nice to have).

Skills

SQL
dbt
Python
Kimball modelling principles
Analytics Engineering
Data modelling
Data warehousing
AI tools
Data integrity
Data monitoring
Data alerting
Stakeholder management
Agile methodologies
E-commerce data
Web analytics data
Marketing funnel data
Profitability metrics
Margin reporting
Financial reporting
Semantic layers
AI documentation

Location

Portugal
Germany

Work Type

Remote

Experience Level

At least 5 years of experience in Analytics Engineering

Benefits

Maturing Scale-Up environment
Empowerment to Impact with accountability
Growth & Learning Journey (70/20/10 model)
Emma-zing Community with smart, collaborative people
Next Level Global collaboration opportunities
Flexibility in remote work policy

About the Company

Emma – The Sleep Company, founded in 2015, is the world’s largest direct-to-consumer (D2C) sleep brand.
The company has a presence in over 20 markets and more than 35 Emma stores across Europe.
Our mission is to develop sleep comfort products that empower our customers to awaken their best every day.
Emma products are trusted by millions and recommended by leading consumer associations worldwide.
The company values ownership, collaboration, and continuous knowledge sharing.
With colleagues from over 70 nationalities, Emma combines diverse perspectives with a shared ambition to learn, grow, and create lasting impact.

Equal Opportunity

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.