Senior Data Analyst - Finance

Das ist der Job

Ready to lead, disrupt and reinvent the sleep industry?

Darum lohnt es sich

At Emma, you’ll join a driven, international team that values ownership, collaboration, and continuous knowledge sharing. Responsibilities Partner closely with Finance team, Engineering and Business stakeholders to translate ambiguous questions into clear analytical deliverables.

Mentor more junior team members on SQL, modeling best practices, and analytical rigor. Experience working with modern cloud data warehouses (Redshift etc) is a plus. Collaborative, team‑first mindset. Benefits 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. 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 over 35 markets and more than 15 retail 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.

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. Partner with a talented group of Data Engineers, Analysts, and Scientists, contributing to and learning from their diverse experience and skills.

Qualifications 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. 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. All the tools you need to grow and take ownership from the beginning. Pet‑friendly environment, where you can bring your furry desk buddy.

Equal Opportunity Employer 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. #J-18808-Ljbffr