Senior Analytics Engineer-Commercial Intelligence

• 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.

• Maturing Scale-Up: We’re part of the 13–20% of start-ups that transition to scale-up. This is a rare stage where we refine systems without losing agility. It’s where start-up energy meets scalable impact - and where people can build the next version of Emma.
• Empowerment to Impact: Every Emmie owns part of our success with accountability. It’s about seeing it, owning it, doing it – something that is valued and measured in development.
• Growth & Learning Journey: We live by the 70/20/10 model – with 70% on the job, 20% from others, 10% structured training. We invest in your growth with trainings and coaching to get you to the top of your game.
• Emma-zing Community: We hire selectively which means working with smart, collaborative people who care deeply. It’s a community built by Emmies for Emmies.
• Next Level Global: With 60+ nationalities across 4 offices, global collaboration is part of our values. You’ll work across cultures, perspectives, and time zones.
• Flexibility: Our Technology team's remote work policy allows for great flexibility. (Please note that the role requires being based in Portugal or Germany)