Senior Data Analyst
New
J
JobgetherHealthcare analytics
Based in India, 12:00 PM–9:00 PM IST shiftFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years of professional experience, including 3+ years in relevant data analytics roles.
- Required Skills
- PythonSQLMicrosoft ExcelData visualizationData modelingPowerPoint
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.
- Experience working with structured healthcare and patient datasets, particularly DRG, Symphony, IQVIA, or McKesson claims.
- Strong proficiency in SQL, Python, Excel, and PowerPoint.
- Experience 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.
- Ability to explain analytical approaches, timelines, findings, and recommendations to stakeholders.
- Ability to work independently, manage multiple priorities, and collaborate with cross-functional and global teams.
- Working knowledge of Power BI or Tableau is a plus.
- Knowledge of data modeling and statistical techniques is advantageous.
- Familiarity with oncology, immunology, rare diseases, or other relevant therapy areas is beneficial.
Responsibilities
- Lead 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 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, 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.
- Collaborate with HEOR, market-access, strategy, engineering, and other cross-functional teams.
- Maintain data integrity, governance, documentation, reproducibility, and quality throughout analytical workflows.
- Translate analytical findings into actionable business insights for internal and external stakeholders.
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