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
- 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, applied mathematics
- 3+ years of working experience in data analysis or data quality, with life science data experience
- Experience in complex organizational structures, reporting to senior management
- Proven track record managing data analytics projects
- Advanced SQL skills (joins, subqueries, subquery factoring)
- Proficient in Python for data manipulation and analysis
- Experience with large databases and complex datasets
- Skilled in data visualization tools (e.g., Superset, Tableau, Power BI)
- Strong written and verbal communication skills in English
Nice to Have
- Experience with workflow orchestration tools (e.g., Apache Airflow)
- Experience with data governance and data quality frameworks
- Strong understanding of statistical analysis and modeling
- Ability to create and maintain automated reporting systems
Perks & Benefits
- Opportunity to work in a diverse and international workspace
- Fitness reimbursement
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