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# Senior Analytics Engineer-Commercial Intelligence

- **Company:** Emma - The Sleep Company
- **Location:** Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Control, Data Integrity, Database Development, Python (Programming Language), Raw Data, Standard Sql, Web Analytics, Core Data
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=18639ecacd478490

## About the Role

* 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.

## Description

* 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.