(Senior) Data Analyst - Finance

Ready to lead, disrupt and reinvent the sleep industry?

We are Emma – The Sleep Company. Founded in 2015, we have grown into the world’s largest direct-to-consumer (D2C) sleep brand, with a presence in 25 markets and more than 35 Emma stores across Europe.

Our mission is simple: to develop sleep comfort products that empower our customers to awaken their best every day. Today, our products are trusted by millions and recommended by leading consumer associations worldwide.

It’s our people who bring this mission to life. At Emma, you’ll join a driven, international team that values ownership, collaboration, and continuous knowledge sharing. With colleagues from over 70 nationalities, we combine diverse perspectives with a shared ambition to learn, grow, and create lasting impact, together.

Ready to awaken your best with us?

What you will do:

• Partner closely with Finance team, Engineering and Business stakeholders to translate ambiguous questions into clear analytical deliverables.
• Analyze data (primarily financial), generate insights, and set up dashboards that convey them clearly and intuitively to stakeholders.
• Write production-grade SQL and Python to support analytics workflows and reusable analytical tooling.
• Design, build, document and maintain scalable data models using dbt (or Paradime) to support finance and cross-functional reporting needs.
• Automate data collection, cleaning, transformation, and deployment, ensuring data is reliably available for analysis.
• Contribute to data quality, testing, documentation, and engineering standards across the analytics stack.
• Mentor more junior team members on SQL, modeling best practices, and analytical rigor.
• Partner with a talented group of Data Engineers, Analysts, and Scientists, contributing to and learning from their diverse experience and skills.

Who we´re looking for

• Bachelor's/ Master's / PhD in Economics, Computer Science, Data Science, Mathematics, Business Informatics, or a related quantitative field. Additional certifications are a plus (CFA etc.).
• Proven 5 years + experience in analytics or analytics engineering, ideally in a Finance, Fintech, or commercial context. Exposure to data science is a plus.
• Excellent programming skills in SQL and Python.
• Familiarity with version control (Git).
• Hands-on experience with dbt (or Paradime) and a solid understanding of data warehousing concepts and ETL best practices.
• Experience working with modern cloud data warehouses (Redshift etc) is a plus.
• Strong experience with at least one major BI/visualization tool — Tableau, Power BI, or equivalent. Strong quantitative and analytical reasoning skills.
• Clear written and verbal communication; able to explain technical concepts to non-technical stakeholders.
• Collaborative, team-first mindset.

What we offer

• Discounts on our top-notch products.
• The opportunity to collaborate with multinational teams.
• Exciting events that aren't just team-building exercises but opportunities to create epic memories.
• All the tools you need to grow and take ownership from the beginning.
• Pet-friendly environment, where you can bring your furry desk buddy.

Become an Emmie

We are on a mission to become in the world of sleep, and we’re looking for driven, ambitious people to help us shape what’s next. If you’re curious, hands-on, and ready to challenge the status quo, you’ll find the space here to make things happen and create real impact.

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.

Our aim is to get back to you within a few days. Due to the high volume of applications, there may be slight delays, but we’ll get back to you as soon as possible.

Upon your consent, we may use artificial intelligence (AI) tools to support parts of the hiring process, such as get the interviews transcript and summarised by AI. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please reach out to