Senior Data Analyst - Finance

About the company

Emma - The Sleep Company was established in 2015 and has grown into the world’s biggest direct-to-consumer sleep brand. The business operates in more than 35 markets and runs over 15 retail stores across Europe. Its goal is to create sleep comfort products that help customers wake up ready to perform at their best each day. The company’s products are used by millions of people and are endorsed by leading consumer organizations around the world.

The team is international and fast-moving, with a culture built around accountability, teamwork, and open knowledge exchange. Colleagues represent more than 70 nationalities, bringing together a wide range of perspectives while sharing a common drive to learn, improve, and make a meaningful impact together.

Role overview

This position is for a senior data analyst focused on finance-related analytics and analytics engineering. The role involves turning complex business questions into practical analytical outputs, building reliable data models and dashboards, and supporting better decision-making across Finance and other functions.

Key responsibilities

• Work closely with Finance, Engineering, and business stakeholders to convert open-ended questions into well-defined analytical outputs.
• Examine financial and other relevant datasets, derive insights, and create dashboards that present information in a clear and user-friendly way.
• Develop high-quality SQL and Python code to power analytics processes and reusable analytical assets.
• Build, document, and maintain scalable data models with dbt or Paradime to support finance reporting and broader cross-functional use cases.
• Automate processes for collecting, cleaning, transforming, and deploying data so that analysis-ready information is consistently available.
• Help improve data quality, testing practices, documentation, and engineering standards across the analytics environment.
• Guide and support junior colleagues in SQL, modeling standards, and disciplined analytical methods.
• Collaborate with data engineers, analysts, and scientists while also learning from their expertise.

Requirements

• A bachelor’s, master’s, or PhD degree in Economics, Computer Science, Data Science, Mathematics, Business Informatics, or another quantitative discipline; professional certifications such as CFA are considered an advantage.
• At least 5 years of experience in analytics or analytics engineering, preferably in finance, fintech, or a commercial setting; exposure to data science is a plus.
• Strong hands-on ability in SQL and Python.
• Working knowledge of Git and version control practices.
• Practical experience with dbt or Paradime, along with a strong understanding of data warehousing and ETL best practices.
• Experience with modern cloud data warehouses such as Redshift is beneficial.
• Proven experience with at least one major BI or visualization platform, such as Tableau, Power BI, or a comparable tool.
• Excellent quantitative thinking and analytical problem-solving ability.
• Strong written and verbal communication skills, including the ability to explain technical ideas to non-technical audiences.
• A collaborative, team-oriented approach.

Perks and benefits

• Discounts on the company’s flagship products.
• Opportunity to work with multinational teams.
• Access to engaging events designed to create memorable experiences, not just standard team-building activities.
• Tools and support to develop professionally and take ownership from the outset.
• Pet-friendly workplace where employees can bring their furry companion to the desk.

Additional information

The company is committed to becoming the number one sleep brand in the world and is looking for ambitious, hands-on people who are ready to challenge established ways of working and create real impact.

This is an equal opportunity employer with a strong commitment to inclusion. Applications are welcomed from all qualified candidates regardless of race, ethnic origin, religion or belief, gender, gender identity or expression, sexual orientation, national origin, disability, or age.

The team aims to respond within a few days. Due to a high number of applications, replies may occasionally take longer, but the company will follow up as soon as possible.

With consent, AI tools may be used to support parts of the hiring process, such as transcribing and summarizing interview content. These tools assist recruitment but do not replace human judgment. Final hiring decisions are made by people. For information about data processing, applicants may contact privacy@emma-sleep.com.