(Senior) Data Analyst - Finance

Emma Sleep; Frankfurt; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Discounts

Multinational team

Epic events

Ownership tools

Pet-friendly

Zusammenfassung

Emma Sleep in Frankfurt is seeking an experienced Analytics Engineer to join our data team. You will partner with Finance, Engineering and business stakeholders to turn ambiguous questions into clear analytical deliverables and build scalable dashboards.

You will write production-grade SQL and Python, design data models with dbt or Paradime, automate data pipelines, mentor junior analysts, and collaborate with data engineers, analysts, and scientists to enable reliable, data-driven decisions.

Qualifikationen

• Bachelor's/Master's/PhD in a quantitative field.
• 5+ years analytics or analytics engineering experience.
• Programming in SQL and Python.
• Experience with dbt or Paradime.
• Experience with cloud data warehouses (Redshift).
• Proficiency with BI tools like Tableau/Power BI.
• Strong communication with non-technical stakeholders.
• Collaborative, team-first mindset.

Aufgaben

• Translate questions into clear analytical deliverables with cross-functional teams.
• Analyze financial data, generate insights, and build dashboards.
• Write production-grade SQL and Python for analytics workflows.
• Design scalable data models using dbt or Paradime.
• Automate data collection, cleaning and deployment.
• Mentor junior team members on SQL and modeling.
• Collaborate with data engineers, analysts, and scientists.

Kenntnisse

SQL

Python

Data analysis

Communication

Collaboration

Ausbildung

Bachelor's degree

Master's degree

PhD

Tools

dbt

Paradime

Redshift

Tableau

Power BI

Git

Jobbeschreibung

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 over 20 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’sour 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?

Responsibilities

• 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.

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.
• 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.

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.
• 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 No.1 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.