Business Analyst – Automation, Analytics & Ai Solutions
med-in.at
Not specified; not specified; not specified
Hybrid
Bachelor's degree in life science or related field
2 years hands-on experience in data analysis
Proficiency in excel and bi tools like power bi
Med-in.at is seeking a Business Analyst for Automation, Analytics, and AI Solutions to enhance clinical trial operations. The role requires collaboration with various teams to support data analysis, solution testing, and compliance in a hybrid work environment
Job Summary
The Business Analyst supports the identification, delivery, and sustainment of country-level automation, analytics, and AI solutions that enhance clinical trial operations.
Key responsibilities include compiling business cases, conducting data exploration, building dashboards, performing user acceptance testing, and ensuring adherence to ICH GCP and company policies.
The role requires collaboration with senior analysts, IT partners, and regional teams to ensure solutions are compliant, adopted, and continuously improved across global and local levels.
Matching Summary
Match Score: 85
Med-in.at is seeking a Business Analyst for Automation, Analytics, and AI Solutions to enhance clinical trial operations. The role requires collaboration with various teams to support data analysis, solution testing, and compliance in a hybrid work environment.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Bachelor's degree in life science or related field
2 years hands-on experience in data analysis
Proficiency in Excel and BI tools like Power BI
Experience with workflow documentation and UAT practices
Advanced English proficiency for written communication
Nice-to-have
Exposure to clinical research operations environments
Familiarity with SQL and data wrangling techniques
Internships in healthcare or regulatory settings
Proactive learning mindset and coachability
Experience with Global Site Agreements initiatives
Key Requirements
Bachelor's degree in life science, business analytics, computing, or engineering
Minimum 2 years of relevant experience in data analysis or technology projects