Senior Data Analyst

Team: Analyst

Location: India

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Lead and execute analytics projects focused on oncology patient journeys, line-of-therapy mapping, and brand analytics.
• Analyze structured healthcare datasets from sources such as DRG, IQVIA, McKesson, and Symphony claims.
• Conduct exploratory data analysis to identify treatment patterns, patient pathways, utilization trends, and relevant healthcare insights.
• Support HEOR and healthcare resource utilization analyses, including prevalence, disease burden, incidence, and cost-of-illness studies.
• Develop and present client-facing insights through dashboards, PowerPoint presentations, and visual analytics.
• Build, optimize, and maintain SQL queries and data pipelines, using Excel and Python for analysis, automation, and efficiency improvements.
• Collaborate with HEOR, market access, strategy, engineering, and other stakeholders to gather requirements, define analytical approaches, establish timelines, and deliver projects effectively.
• Ensure data integrity, governance, documentation, and reproducibility across analytical projects.
• Independently manage workload, communicate progress, identify risks or dependencies, and drive projects through to completion.
• Translate complex analytical findings into clear business insights and recommendations for stakeholders.

Requirements:

• 5+ years of professional experience, including at least 3 years in relevant data analytics, healthcare analytics, or similar roles.
• Bachelor’s or Master’s degree in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics, or a related discipline.
• Proven experience working with structured healthcare datasets, particularly DRG, Symphony, IQVIA, McKesson, or comparable sources.
• Strong proficiency in SQL, Python, Excel, and PowerPoint.
• Experience within pharmaceutical, life sciences consulting, healthcare analytics, or analytics agency environments.
• Exposure to real-world evidence datasets, including EHR/EMR and CMS data.
• Understanding of line-of-therapy frameworks, treatment guidelines, and market-access structures.
• Working knowledge of data modeling and statistical techniques is preferred.
• Familiarity with visualization tools such as Power BI or Tableau is an advantage.
• Client-facing experience and the ability to translate complex analytics into clear business insights is highly valued.
• Experience in oncology, immunology, rare diseases, or other relevant therapy areas is a plus.
• Experience conducting stakeholder workshops or developing interactive dashboards is beneficial.
• Experience working with global teams and multi-geography datasets is preferred.
• Strong communication, analytical, problem-solving, collaboration, and stakeholder-management skills.
• Ability to work independently, structure complex problems, manage priorities, and communicate analytical approaches and outcomes effectively.
• Willingness to work remotely on a 12:00 PM to 9:00 PM IST schedule.

Benefits:

• Remote work arrangement in India.
• Opportunity to work with large-scale healthcare claims and patient datasets.
• Exposure to oncology analytics, patient journeys, line-of-therapy analysis, HEOR, and real-world evidence.
• Collaboration with multidisciplinary teams across healthcare analytics, market access, strategy, engineering, and related functions.
• Opportunity to develop advanced skills in SQL, Python, Excel, data visualization, and healthcare analytics.
• Exposure to global teams and multi-geography healthcare data.
• Opportunity to contribute to strategic projects and translate complex datasets into actionable insights.