Principal Analyst: Commercial Analytics
Summary
Senior individual-contributor role in Bengaluru leading pharmaceutical commercial analytics workstreams: analyzing patient-level claims, EMR/EHR, specialty pharmacy and sales data for brand KPIs, patient journey and HCP segmentation insights, plus ETL, Tableau/Power BI dashboards and mentoring junior analysts.
We are looking for an experienced Principal Analyst Pharmaceutical Commercial Analytics to join our team in India. This is a senior individual-contributor role responsible for leading complex analytical workstreams and generating actionable insights for global and regional brand and commercial teams.
The ideal candidate will have strong experience in pharmaceutical/healthcare analytics, preferably within Oncology, with hands-on expertise in patient-level data, claims, EMR/EHR, specialty pharmacy and sales data.
Key Responsibilities
Commercial & Brand Analytics
- Lead end-to-end delivery of complex pharmaceutical commercial and brand analytics projects.
- Analyze key brand KPIs including patient share, new patient starts, source of business, adherence, duration of therapy (DoT), HCP engagement and campaign effectiveness.
- Integrate and analyze multiple healthcare and commercial datasets including patient-level claims, EMR/EHR, specialty pharmacy, lab, sales and channel data.
- Conduct advanced exploratory data analysis (EDA) to identify trends, business opportunities and actionable commercial insights.
- Perform complex ad hoc analyses, develop hypotheses and translate findings into business recommendations.
- Support global and regional stakeholders with insights for brand strategy, performance management and launch readiness.
Patient & HCP Analytics
- Develop patient and HCP cohorts using business rules and deterministic methodologies.
- Perform patient journey, HCP segmentation, targeting and micro-segmentation analyses.
- Develop advanced segmentation approaches using cluster-based and probabilistic models.
- Define and standardize business rules for processing patient-level healthcare data.
Data Engineering & Automation
- Perform ETL activities to acquire, clean, transform and structure large datasets for analytics.
- Design reusable data pipelines for recurring analytics and reporting.
- Identify opportunities to automate reporting and analytical workflows.
- Improve scalability, reliability and reproducibility of analytics processes.
Data Visualization & Reporting
- Develop and manage Tableau / Power BI dashboards for brand performance, patient journey, patient funnel and field-force analytics.
- Define and standardize KPIs and reporting metrics across markets and regions.
- Translate complex analytical findings into clear, executive-ready dashboards and presentations.
Stakeholder Management & Technical Leadership
- Partner with global and regional commercial, Insights & Analytics, and brand stakeholders to understand business requirements.
- Translate ambiguous business questions into structured analytical approaches.
- Present insights with clear business implications and recommendations.
- Mentor Analysts and Senior Analysts on analytical methodologies, data interpretation and quality standards.
- Develop reusable analytical frameworks, documentation, query libraries and best practices.
Required Experience
- 5 to 10 years of experience in Pharmaceutical Commercial Analytics / Healthcare Analytics.
- Strong experience working within the Pharmaceutical industry is mandatory.
- Experience in Oncology / Oncology Analytics is highly preferred.
- Strong hands-on experience in Commercial / Pharma Analytics is mandatory.
- Experience independently managing complex analytical projects and deliverables.
- Strong knowledge of pharmaceutical commercial datasets, including:
- Patient-level claims data
- EMR/EHR data
- Specialty pharmacy data
- Sales and channel data
- Lab data
- Exposure to healthcare datasets/providers such as IQVIA, Komodo Health or Symphony Health.
- Understanding of healthcare coding systems such as ICD and procedure/reimbursement codes.
- Experience supporting global or regional pharmaceutical brand teams is preferred.
Technical Skills
- SQL Advanced
- Python / R / SAS
- Tableau / Power BI
- Advanced Excel
- Databricks / Cloud Analytics Platforms
- ETL and Data Pipelines
- Exploratory Data Analysis (EDA)
- Patient Journey Analytics
- HCP / Patient Segmentation
- Cohort Development
- Commercial & Brand Analytics
- Dashboard Development
- Workflow Automation
- API-based data acquisition
- Exposure to GenAI-assisted analytics/coding tools is advantageous.
Education
- Bachelor's degree in Statistics, Data Science, Life Sciences, Computer Science, or another quantitative discipline.
- Master's degree or MBA in a relevant analytical/business field is preferred.
Key Competencies
- Pharmaceutical Commercial Analytics
- Oncology Analytics
- Patient-Level Data Analytics
- Claims Analytics
- Patient Journey Analytics
- HCP Analytics & Segmentation
- Brand Performance Analytics
- Advanced SQL & Data Analysis
- Data Visualization & Storytelling
- Stakeholder Management
- Analytical Problem Solving
- Technical Leadership & Mentoring
Preferred Candidate Profile
Candidates should ideally have:
- 5–6 years of relevant analytics experience
- Pharmaceutical industry experience – Mandatory
- Commercial / Pharma Analytics experience – Mandatory
- Oncology therapeutic area exposure – Highly Preferred
- Strong experience with patient-level claims, EMR/EHR and commercial healthcare datasets
- Advanced hands-on SQL skills
- Experience with Tableau or Power BI
- Exposure to Python/R/SAS and Databricks
- Strong stakeholder-facing and analytical storytelling skills
Interested candidates can send thier CV on alpana.das@kornferry.com