Senior Analytics Engineer-Commercial Intelligence

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.

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)