- Location
- Bangalore
- Type
- Full-time
- Department
- Healthcare
- Seniority
- Senior
- Experience
- 5+ years
- Closing date
- Today
- Source
- ApplyToJob
Description
Position: Senior Analyst
Location: Gurgaon, Pune, Bangalore - India
Experience required: 1 - 2.5 years
Tool Required: SQL, Excel, Python, R, VBA
About ProcDNA
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
Are you passionate about uncovering insights from patient-level data to shape better outcomes in life sciences? At ProcDNA, we’re growing our Patient Analytics Team and are looking for a Senior Analyst with 1+ years of hands-on experience in patient journey analytics within the pharma space.
What you’ll do
▪ Seeking an individual experienced in leveraging emerging technologies and best practices to address healthcare/pharma industry challenges.
▪ Develop and validate patient-level datasets by integrating claims, EMR, and specialty pharmacy data
▪ Translate complex data into actionable insights to support brand, access, and medical strategies ▪ Collaborate with cross-functional teams, including commercial, market access, and field operations
▪ Contribute to building internal accelerators for cohort identification, line-of-therapy analytics, and patient journey visualization.
Must have
▪ 1–2.5 years of experience in patient-level analytics across indications, brands, or life cycle stages
▪ Strong analytical and SQL skills; experience with Python is a plus.
▪ Proficiency in Excel and PowerPoint with a strong ability to create and present clear, data driven narratives
▪ Experience working with longitudinal data sources (e.g., claims, EMR, SP Hub)
▪ Strong communication skills with theability to distill complex data into strategic insights
▪ Comfort working with global teams and clients in a fast-paced, evolving environment
Location: Gurgaon, Pune, Bangalore - India
Experience required: 1 - 2.5 years
Tool Required: SQL, Excel, Python, R, VBA
About ProcDNA
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
Are you passionate about uncovering insights from patient-level data to shape better outcomes in life sciences? At ProcDNA, we’re growing our Patient Analytics Team and are looking for a Senior Analyst with 1+ years of hands-on experience in patient journey analytics within the pharma space.
What you’ll do
▪ Seeking an individual experienced in leveraging emerging technologies and best practices to address healthcare/pharma industry challenges.
▪ Develop and validate patient-level datasets by integrating claims, EMR, and specialty pharmacy data
▪ Translate complex data into actionable insights to support brand, access, and medical strategies ▪ Collaborate with cross-functional teams, including commercial, market access, and field operations
▪ Contribute to building internal accelerators for cohort identification, line-of-therapy analytics, and patient journey visualization.
Must have
▪ 1–2.5 years of experience in patient-level analytics across indications, brands, or life cycle stages
▪ Strong analytical and SQL skills; experience with Python is a plus.
▪ Proficiency in Excel and PowerPoint with a strong ability to create and present clear, data driven narratives
▪ Experience working with longitudinal data sources (e.g., claims, EMR, SP Hub)
▪ Strong communication skills with theability to distill complex data into strategic insights
▪ Comfort working with global teams and clients in a fast-paced, evolving environment
Skills
PythonSQLExcelEMRR