Data Analyst

• Standardise and harmonise data across multiple clinical studies with varying conventions and standards
  

• Identify patterns, inconsistencies, and anomalies across datasets and define mapping/validation rules
  

• Improve FAIR (Findable, Accessible, Interoperable, Reusable) data maturity (metadata, lineage, quality rules)
  

• Translate ambiguous business questions into clear analytical requirements and data solutions
  

• Perform data sourcing, transformation, reconciliation (Python, SQL, AWS)
  

• Ensure GDPR-compliant and ethical use of patient/study data
  

• Communicate insights, assumptions, and limitations clearly to stakeholders
  

Requirements

• Strong analytical problem-solving skills in ambiguous environments
  

• Proven ability to standardise and harmonise heterogeneous datasets
  

• Strong pattern recognition across multiple datasets/studies
  

• Advanced Python and SQL skills (profiling, validation, reconciliation)
  

• Experience working in AWS-based data environments (e.g., S3, query/processing services)
  

• Experience with data visualisation tools (e.g., Power BI or similar)
  

• Strong documentation and stakeholder communication skills
  

• Ability to quickly learn new domains and data standards
  

Nice to Have

• Familiarity with clinical trial data standards (e.g., CDISC SDTM, ADaM)
  

• Experience working with SAS datasets or legacy clinical environments
  

• Understanding of clinical study conduct and patient data governance
  

• Exposure to Machine Learning / AI use cases
  

• Experience exploring LLM-based or agentic tooling in data workflows
  

Benefits

• Hybrid work model from Warsaw's office (once a week onsite, 90% remote)
  
• Professional training programs – including Udemy and other development plans
  
• Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row