Senior Analytics Engineer – Commercial Intelligence
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Job Description
Senior Analytics Engineer building profitability and funnel data models for Emma, the global direct-to-consumer sleep-products company. Using SQL, dbt, Python, Redshift, and Kimball modelling principles.
Responsibilities:
- Own the T in ELT within Commercial Intelligence, from raw data to trusted, analysis-ready models
- Make data modelling decisions based on Kimball design principles
- Extend the core data warehouse model with new data points
- Develop profitability metrics and connect web analytics and revenue data into one funnel view
- Collaborate with Data Engineers and Data Analysts
- Pick up ingestion, pipeline, and analysis work as needed
- Support AI development through AI tools and reliable, documented data foundations
- Ensure data integrity, consistency, and security
- Set up proactive data monitoring and alerting
- Build relationships with E-Commerce, Marketing, commercial, upstream, and downstream data teams
- Contribute to a collaborative, high-performing team culture
- Manage multiple projects in a fast-paced, agile environment
Requirements:
- At least 5 years of experience in Analytics Engineering
- Strong SQL and dbt skills
- Solid Python skills
- Very strong grasp of Kimball modelling principles and ability to explain them
- Comfort working across disciplines
- Interest in engineering and analysis work alongside modelling
- Curiosity about AI and willingness to use AI in data work
- Analytical and problem-solving skills
- Strong communication and interpersonal skills
- Ability to work autonomously and drive projects from idea to production
- Role requires being based in Portugal or Germany
Benefits:
- Maturing Scale-Up: refine systems without losing agility while building scalable impact
- Empowerment to Impact: ownership, accountability, and development measurement
- Growth & Learning Journey: 70/20/10 development model, trainings, and coaching
- Emma-zing Community: smart, collaborative colleagues
- Next Level Global: collaboration across cultures, perspectives, and time zones
- Flexible remote work policy
- Equal opportunity and inclusive workplace
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