Senior Data Analyst

Accountabilities • Lead and execute analytics projects focused on oncology patient journeys, line-of-therapy mapping, and brand analytics.

• Analyze structured claims and patient datasets, including DRG, IQVIA, McKesson, and Symphony claims data.

• Conduct exploratory data analysis to identify treatment patterns, patient pathways, utilization trends, and other relevant insights.

• Support health economics and outcomes research and healthcare resource utilization analyses, including prevalence, incidence, disease burden, and cost-of-illness studies.

• Build and optimize SQL queries and data pipelines while using Python and Excel for analysis, automation, and data processing.

• Develop and present client-facing insights through dashboards, PowerPoint presentations, and other visual analytics formats.

• Gather stakeholder requirements, define analytical approaches and timelines, and communicate project progress and outcomes effectively.

• Collaborate with HEOR, market-access, strategy, engineering, and other cross-functional teams to deliver analytics projects.

• Maintain data integrity, governance, documentation, reproducibility, and quality throughout analytical workflows.

• Independently manage priorities and workload while ensuring projects remain on track and deliverables meet expected standards.

• Translate complex analytical findings into clear, actionable business insights for internal and external stakeholders.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics, or a related discipline.

• At least 5 years of professional experience, including 3+ years in relevant data analytics roles.

• Proven experience working with structured healthcare and patient datasets, particularly DRG, Symphony, IQVIA, or McKesson claims.

• Strong proficiency in SQL, Python, Excel, and PowerPoint.

• Experience working in pharmaceutical, life-science consulting, healthcare analytics, or a related analytical environment.

• Exposure to real-world evidence data sources such as EHR/EMR and CMS datasets.

• Understanding of line-of-therapy frameworks, treatment guidelines, patient journeys, and market-access structures.

• Strong analytical and problem-solving capabilities, with the ability to translate complex datasets into meaningful conclusions.

• Excellent communication and stakeholder-management skills, including the ability to explain analytical approaches, timelines, findings, and recommendations.

• Ability to work independently, manage multiple priorities, and collaborate effectively with cross-functional and global teams.

• Working knowledge of data visualization tools such as Power BI or Tableau is a plus.

• Knowledge of data modeling and statistical techniques is advantageous.

• Client-facing experience and the ability to communicate business insights effectively are preferred.

• Familiarity with oncology, immunology, rare diseases, or other relevant therapy areas is beneficial.

• Experience facilitating stakeholder workshops, developing interactive dashboards, or working with multi-geography datasets is a plus.

Benefits

• Fully remote working opportunity in India.

• Opportunity to work on healthcare and life-science analytics projects with global stakeholders.

• Exposure to large-scale claims, patient, and real-world evidence datasets.

• Collaborative environment spanning analytics, HEOR, market access, strategy, and engineering.

• Opportunities to work with international teams and multi-geography datasets.

• Professional development through exposure to advanced healthcare analytics, visualization, and data technologies.

• Full-time employment opportunity with a focus on long-term professional growth.

• Remote working schedule aligned with a 12:00 PM–9:00 PM IST shift.

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