Join NATEK as a Data Analyst and help convert diverse clinical study data into reliable, high-quality datasets. Minimum engagement - 6 months.
responsibilities :
Standardise and align data across multiple clinical studies with differing legacy standards and conventions to enable integrated analysis and reporting.
Identify patterns, inconsistencies, and structural differences across datasets, and translate findings into mapping rules, validation checks, and clear documentation.
Enhance data FAIRness by improving metadata, lineage, definitions, quality controls, and reuse guidance, proactively addressing gaps in documentation.
Partner with product, technical, and analytics leads to convert complex business questions into structured data requirements.
Extract, transform, and reconcile data using Python, SQL, and AWS tools
to support insight generation and downstream modelling.
requirements-expected :
4+ years of experience as a Data Analyst.
Proficient in Python and SQL for analysis, validation, and reconciliation.
Familiarity with AWS-based data environments (e.g., S3, query/processing services).
Experience in standardizing definitions and mappings across datasets.
Skilled at identifying patterns and exceptions across multiple datasets.
Ability to create clear data visualizations and dashboards (Power BI or similar).
Fluent English
offered :
Long-term cooperation based on our values: education, partnership and responsibility,
Work on projects dedicated to the worlds largest brands,
Possibility to exchange experiences in an international environment and develop projects implemented in Poland or other countries: Slovakia, Czech Republic, Bulgaria,
Working in a modern environment with innovative technologies,
Flexible working hours,
Private medical care,
Multisport or My Cafeteria card,
Life insurance,
NATEK loyalty Club,
Opportunity to join a socially responsible community and participate in company initiatives,
For contractors - entitlement to 23 additional days of service provision per year,
An additional paid day off for volunteering for salaried employees.