Objective: Build a strong foundation in business analysis principles and understand their applications in the pharmaceutical industry.
· Role of a Business Analyst in Pharma
· IIBA® Standards and Frameworks
· Drug Development Lifecycle (RCD to Market Access)
· Understanding Clinical Trial Phases and their KPIs
· SQL Basics: Managing clinical and commercial data
· MS Excel: Data cleaning, pivot tables, and reporting
· Techniques for eliciting pharma-specific requirements
· Collaborating with RCD, Regulatory, and Market Access Teams
Objective: Dive deeper into analytics tools and deliver actionable insights for pharmaceutical decision-making.
· Power BI: Building dashboards for clinical trials and market performance
· Visual storytelling for regulatory and commercial teams
· Applying statistical analysis in Pharma (using Excel/Power BI)
· Forecasting drug sales and market trends
· Understanding FDA and EMA reporting standards
· Identifying patterns in adverse event reporting
· Pipeline prioritization using clinical trial data
· Market access strategies for emerging drugs
Objective: Apply your skills to a comprehensive project simulating a real-world business analysis problem in Pharma.
1. Optimizing Drug Pipeline Analysis
· Use clinical trial data to prioritize drug candidates and deliver insights.
· Analyse competitor data and healthcare policy changes to propose pricing and access strategies.
· Analysis Report: Present data-driven insights and actionable recommendations.
· Presentation: Share dashboards and findings with stakeholders.
Customized industrial training is available for both fresher has and experienced professionals:
· Designed for freshers and professionals with less than 2 years of experience.
· Focuses on foundational concepts, tools (SQL, Excel), and entry-level case studies.
· Tailored for experienced professionals with 3 or more years of experience.
· Includes advanced tools, predictive analytics, and complex case studies for senior roles.