What You'll Do
- Assure that data quality and compliance meet our high standards
- Extract data from databases (e.g., Redshift, Mongo DB)
- Analyze large data sets and generate insights
- Modify existing SQL scripts to meet product needs
- Identify data gaps and quality issues and provide root cause analysis
- Build and maintain a technical data model (entity relationship diagram)
- Create customized reports and dashboards for internal stakeholders
Requirements
- University degree in an analytical or technical field, e.g., bioinformatics, computer science, applied mathematics
- 1+ years of working experience in data analysis or data quality
- Intermediate level of SQL (joins of multiple tables, subqueries, subquery factoring)
- Experience working with large databases and data sets
- Confident spreadsheet user (pivot tables, nested formulas)
- Strong written and verbal communication skills in English
Nice to Have
- Work experience in life science, healthcare, pharmaceutical, or MedTech
- Data analysis tools (KNIME)
- Database technologies (Redshift, NoSQL/MongoDB)
- Programming (Python, R)
- Data visualization tools (Tableau, PowerBI)
Perks & Benefits
- Opportunity to work in a diverse and international workspace
- Personal development budget
- A significant contribution to the pension fund
- Life insurance
- Fitness reimbursement
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