Jobgether
Senior Data Analyst
TLDR
Transform complex oncology healthcare datasets into actionable insights for market access and HEOR, delivering client-ready analyses with cross-functional collaboration.
Accountabilities:
- Lead analytics initiatives focused on oncology patient journeys, line-of-therapy mapping, and brand performance using large structured healthcare datasets.
- Perform exploratory data analysis to identify treatment patterns, utilization trends, and real-world clinical pathways.
- Analyze and interpret complex claims datasets such as DRG, IQVIA, McKesson, and Symphony to generate actionable insights.
- Support HEOR and HCRU studies including incidence, prevalence, cost-of-illness, and disease burden analysis.
- Build, optimize, and automate data pipelines and SQL queries while leveraging Python and Excel for advanced analysis.
- Develop dashboards and client-ready presentations using PowerPoint and visualization tools to communicate insights effectively.
- Collaborate with cross-functional teams to define analytical approaches, clarify requirements, and ensure timely delivery of insights.
- Ensure data accuracy, governance, documentation, and reproducibility across all analytical outputs.
- 5+ years of overall experience, including at least 3+ years in data analytics roles within healthcare, pharma, or life sciences domains.
- Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Life Sciences, Pharmacy, Engineering, or related fields.
- Strong hands-on experience working with structured healthcare datasets such as DRG, IQVIA, McKesson, or Symphony claims.
- Advanced proficiency in SQL, Python, Excel, and PowerPoint for analysis and reporting.
- Solid understanding of real-world evidence (RWE) sources such as EHR/EMR and CMS datasets.
- Familiarity with line-of-therapy frameworks, treatment guidelines, and healthcare market access structures.
- Experience in pharma consulting, analytics firms, or life sciences data environments is highly preferred.
- Strong communication skills with the ability to translate complex data into clear business insights for clients.
- Competitive compensation aligned with experience and industry standards
- Flexible remote work arrangement within India
- Health insurance and comprehensive medical coverage
- Paid leave policies including vacation, sick leave, and public holidays
- Professional development support and learning opportunities
- Exposure to global healthcare datasets and high-impact oncology analytics projects
- Collaborative, cross-functional work environment with international stakeholders
- Tools and resources to support data analysis, visualization, and productivity
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Health Insurance
Health insurance and comprehensive medical coverage
Learning Budget
Professional development support and learning opportunities
Paid Time Off
Paid leave policies including vacation, sick leave, and public holidays
Remote-Friendly
Flexible remote work arrangement within India
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Senior Data Analyst