Senior Data Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst based in India.

This remote role offers the opportunity to lead advanced analytics initiatives focused on oncology patient journeys, treatment pathways, and line-of-therapy analysis.
You will transform large-scale claims and patient datasets into actionable insights that support strategic and commercial decision-making.
The position combines hands-on data analysis with client-facing communication, visualization, and project ownership.
You will work with structured healthcare data from sources such as DRG, IQVIA, McKesson, and Symphony claims.
Your analyses may support real-world evidence, healthcare resource utilization, prevalence, incidence, and cost-of-illness studies.
You will collaborate with teams spanning HEOR, market access, strategy, and engineering in a multidisciplinary environment.
The role is well suited to an experienced analyst who enjoys solving complex healthcare problems and translating data into clear business insights.

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

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

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

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

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

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

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

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

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

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

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

Requirements

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

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

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

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

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

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

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

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

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

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

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

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Knowledge of data modeling and statistical techniques is advantageous.

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

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

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

Benefits

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Fully remote working opportunity in India.

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

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

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

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

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

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

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