Principal Analyst — Commercial Analytics

Objectives and Purpose

Brand Analytics and Insight Generation

• Lead complex performance analytics workstreams and KPI reporting across global, regional, and country levels.
• Integrate claims, EMR/EHR, specialty pharmacy, sales, channel, and other commercial data to generate patient and HCP insights.
• Define business rules for raw patient-level data processing to ensure accuracy, consistency, and reproducibility.
• Conduct advanced exploratory data analysis and opportunity prospecting to identify commercial hypotheses.
• Own complex custom reporting and ad hoc analyses with rigorous methodologies and documented outputs.

Cohorts, Data Operations and Automation

• Develop clinically sound and reproducible patient and HCP cohorts based on business rules and deterministic logic.
• Lead advanced cohort and segmentation approaches, including cluster and probabilistic models.
• Perform ETL to acquire, clean, transform, and structure multi-source data for analysis.
• Design data pipelines for recurring analytics and reporting.
• Automate and scale recurring reporting and analytical workflows.

Reporting and Stakeholder Collaboration

• Design and govern Tableau or Power BI dashboards for brand performance, patient funnel dynamics, and field-force activity.
• Standardize commercial KPIs including patient share, duration of therapy, adherence, source of business, and campaign effectiveness.
• Partner with GCC managers and global brand leads to scope analytical work and communicate implications.
• Synthesize findings into decision-oriented stories and actionable recommendations.
• Mentor analysts and senior analysts and maintain analytical methods, data guides, design patterns, and query libraries.

Education and Experience

• Bachelor’s degree in Statistics, Data Science, Life Sciences, Computer Science, or a related quantitative field.
• 5–6 years of progressive pharma commercial analytics or healthcare analytics experience.
• Deep working knowledge of patient-level claims, specialty pharmacy, EMR, and sales datasets across markets.
• Advanced coding proficiency in SQL, SAS, R, or Python and advanced Excel skills.
• Expert Tableau or Power BI dashboard-development experience.
• Master’s degree or MBA is strongly preferred.
• Experience with lab data, coding systems, public datasets, and research literature sources is strongly preferred.
• Experience supporting global or regional brand teams is strongly preferred.

Core Competencies

• Lead complex multi-source commercial data analysis and exploratory analysis.
• Develop patient and HCP cohorts and advanced segmentation models.
• Use coding, APIs, GenAI tools, and cloud platforms to automate analytics workflows.
• Translate findings into executive-ready commercial stories and recommendations.
• Communicate persuasively with technical and commercial stakeholders.
• Provide technical leadership, mentorship, quality standards, and process improvement.

Benefits

• Competitive salary and annual performance bonus.
• Flexible hybrid work environment.
• Healthcare, life, and accident insurance coverage.
• Learning platforms, employee assistance, referral, and inclusion programs.
• Home internet and mobile reimbursements.
• Paternity, maternity, and bereavement leave.

Location and Employment

• Location: Bengaluru, India.
• Regular, full-time employee role.
• Hybrid working is available.