Senior Data Analyst

New
P
Precision Medicine GroupHealthcare analytics
Remote, IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
Minimum 5 years’ experience, with 3+ years in relevant analytics roles.
Required Skills
PythonSQLMicrosoft Power BITableauMicrosoft ExcelPowerPoint

Requirements

  • Minimum 5 years of experience, with 3+ years in relevant analytics roles.
  • Bachelor’s or master’s degree in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or a related field.
  • Prior experience with structured datasets such as DRG, Symphony, IQVIA and McKesson.
  • Strong proficiency in SQL, Python, Excel and PowerPoint.
  • Experience in pharma/life-science consulting or analytics agencies.
  • Exposure to real-world evidence sources, including EHR/EMR and CMS datasets.
  • Understanding of line-of-therapy frameworks, treatment guidelines and market-access structures.
  • Working knowledge of visualization tools such as Power BI or Tableau is preferred.
  • Understanding of data modeling and statistical techniques is preferred.
  • Client-facing experience translating analytics into business insights is preferred.
  • Therapy-area familiarity in oncology, immunology or rare diseases is preferred.

Responsibilities

  • Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping and brand analytics.
  • Analyze structured claims and patient datasets, including DRG, IQVIA, McKesson and Symphony claims.
  • Conduct exploratory data analysis to assess treatment patterns, pathways and utilization.
  • Support HEOR/HCRU analyses, including prevalence, burden, incidence and cost-of-illness studies.
  • Develop and present client-facing insights using dashboards, PowerPoint and visual analytics.
  • Build and optimize SQL queries and pipelines; use Excel and Python for automation and analysis.
  • Collaborate with HEOR, market-access, strategy and engineering teams and coordinate with key stakeholders.
  • Ensure data integrity, governance, documentation and reproducibility.
  • Manage workload independently, communicate progress and drive project delivery.
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