MAËLYS is one of the fastest-growing global D2C startups with a self-built e-commerce platform that allows us to leverage data and optimize marketing funnels to bring clinically tested body care products to women worldwide. With years of rapid growth and millions of customers worldwide, MAËLYS is on track to become one of the biggest body care brands in the world.

We are a team of people who want to make lasting, impactful changes, live (and love) to see results, innovate with passion, and love a good sense of humor.

As our Senior Marketing Data Analyst, you will play a pivotal role in enhancing our digital marketing performance and overall business growth. You’ll work in a data-driven environment focusing on continuous improvement and optimization.

Your life at MAËLYS will look like...

• Monitor and analyze marketing data to identify trends and translate them into clear, actionable recommendations that drive performance optimization.
• Dive into data from multiple angles to uncover growth opportunities and understand how creatives impact overall activity and results.
• Build and maintain dashboards and visualizations that make performance insights accessible and intuitive for end users.
• Evaluate and compare different attribution methods to better understand channel impact and improve decision-making.
• Plan, execute, and analyze experiments (A/B tests, lift tests, etc.), assess their statistical significance, and extract meaningful action items to continuously improve performance.
  
  

You will thrive in this role if you have…

• 4-5 years of experience as a Data Analyst in a data-driven business.
• BSc/BA in Mathematics, Statistics, Computer Science, Economics, or a related field.
• High proficiency in SQL - a must.
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI, etc.).
• Experience working with online marketing data and a solid understanding of key metrics (ROAS, CAC, CTR, etc.).
• Thorough understanding of attribution and marketing measurement.
• Hands-on experience with A/B tests and/or lift tests and their underlying statistical methodologies - an advantage.
• Familiarity with online marketing platforms (Facebook, Google, Snapchat, etc.) – an advantage.
• Experience with R and/or Python – an advantage.
• Experience in retail and e-commerce or adtech – an advantage.
  
  

Requirements: