Data Analyst
Core
Develop and maintain reports, dashboards, and KPIs for Clinical Supply Management systems while supporting system administration, data management, and process optimization.
Role type
Senior IC data analyst (clinical supply systems)
Builds
Production reporting dashboards, system documentation, and process automation initiatives
Domain
Pharmaceutical/Clinical Supply / Data & Systems
Deliverable
dashboards & analysis
Required skills
SQL/PSQL, JasperSoft/JasperReports, relational databases, data management, system administration, SOP development, user training, process optimization, AI prompt engineering
Preferred skills
Master data management, UAT, system lifecycle activities, change control, AI-enabled process automation, GCP experience
Technologies
JasperSoft, SQL, PSQL, Cloud
Responsibilities
Develop and maintain reports, dashboards, ad hoc views, statistics, and KPIs using JasperSoft. Use SQL/PSQL and relational databases for reporting and data analysis. Manage master data, including classifications, mappings, and system updates. Support day-to-day administration and functionality of Clinical Supply Management IT systems. Investigate system questions, troubleshoot issues, and coordinate with internal IT teams and external providers. Prepare and maintain system training materials and train new users. Support system lifecycle work, including documentation, UAT, access approvals, upgrades, and system changes. Work with business and IT stakeholders to identify automation and process optimization opportunities. Assist with developing and implementing interfaces between clinical supply systems and other business systems. Help develop user requirements and test new or enhanced system functionality. Develop and optimize processes from initial concept through testing and implementation. Prepare and update SOPs, work instructions, and training documentation. Support change control and change management activities. Communicate with global system users to address inquiries, evaluate processes, and improve systems. Apply AI and prompt engineering techniques to support automation and efficiency initiatives.