Our client is a company that is dedicated to developing and sharing innovative skincare products and information with their customers. Through their research on skin science, they aim to improve people's understanding of skin and provide effective solutions for common skincare concerns. 

Our team is in search of a talented Data Analyst who can bring their excellent communication skills to the table and adapt their communication style to fit different stakeholders' needs. The ideal candidate will be responsible for assisting our data engineers in creating, maintaining, and enhancing data models. They should also be adept at identifying new data opportunities and gathering and merging data from different sources to enhance their analysis. 

If that sounds like you, apply today! 

What is in it for you? 

Competitive salary | Benefits package | Training budget | Flexible working arrangement 


  • Analyze comprehend business requirements and convert them into data necessities and practical insights. 
  • Support the business intelligence team in reporting and dashboarding processes. 
  • Collaborate with product owners and other departments to identify, track, and provide insights on business KPIs. 
  • Assist data engineers in the creation, maintenance, and enhancement of data modeling. 
  • Identify new data opportunities and enrich your analysis by gathering and merging data from various sources. 


  • A third level degree in Engineering, Statistics or another, closely related field.  
  • Minimum 3 years of relevant professional experience.  
  • Medium-high level SQL proficiency. 
  • Good knowledge of reporting and dashboarding tools.  
  • Solid communication skills in order to convey ideas and solutions to various stakeholders. 
  • Proficiency with Google Analytics and Google Tag Manager.  
  • Advanced English level.  
  • Experience with marketing automations tools and analysis of customer email journeys, knowledge of DBT (or other modeling tools), GIT, and experience with Cloud ecosystems (e.g., BigQuery, Redshift, Snowflake) will be of advantage. 

If you are a skilled Data Analyst, you can combine data sources in a Python notebook and have good communication skills, this might be an opportunity for you! Send us your CV today and let's talk! 

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