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ClearView Healthcare Partners Hiring Data Analyst – Advanced Analytics | Gurgaon
🏢 ClearView Healthcare Partners
📍 Gurgaon
📊 Healthcare Analytics
🤖 Machine Learning
💻 SAS | SQL | Python
ClearView Healthcare Partners is hiring Data Analysts – Advanced Analytics for its Gurgaon office. This opportunity is ideal for professionals with experience in healthcare analytics, life sciences consulting, machine learning, SAS programming, SQL development, Python analytics, Real World Evidence (RWE), healthcare claims databases, and electronic health record (EHR) data analysis.
Candidates interested in healthcare consulting, pharmaceutical analytics, healthcare intelligence, advanced analytics, machine learning applications, and life sciences strategy consulting are encouraged to apply.
📋 Job Overview
| Particulars | Details |
|---|---|
| Position | Data Analyst – Advanced Analytics |
| Company | ClearView Healthcare Partners |
| Location | Gurgaon, Haryana, India |
| Job Type | Full-Time |
| Experience | 1–3 Years |
| Industry | Life Sciences Consulting |
| Department | Data & Analytics |
🏢 About ClearView Healthcare Partners
ClearView Healthcare Partners is a leading life sciences strategy consulting firm headquartered in Boston, USA, with offices across New York, San Francisco, London, Zurich, and Gurgaon.
The company works with pharmaceutical, biotechnology, diagnostics, and medical device organizations to provide strategic insights, advanced analytics, commercial intelligence, and data-driven decision support.
Its Data & Analytics division utilizes advanced healthcare databases, machine learning, SAS, SQL, Python, and statistical methodologies to solve complex business problems for global healthcare clients.
📌 Key Responsibilities
As a Data Analyst – Advanced Analytics, you will:
- Collect, clean, transform, and analyze large healthcare datasets.
- Work extensively with insurance claims databases and EHR datasets.
- Build analytical models to support consulting projects.
- Apply statistical methodologies and machine learning techniques.
- Develop scalable analytical tools, templates, and automation solutions.
- Generate data-driven insights for pharmaceutical and healthcare clients.
- Support consulting teams with strategic recommendations.
- Communicate complex analytical findings to non-technical stakeholders.
- Identify innovative applications of healthcare analytics.
- Contribute to advanced data science initiatives across life sciences projects.
🎓 Educational Qualification
Candidates should possess a Bachelor's Degree or higher qualification in:
- Statistics
- Mathematics
- Machine Learning
- Physics
- Data Science
- Computer Science
- Related Quantitative Disciplines
💼 Experience Requirements
- 1–3 years of experience in Healthcare Analytics.
- Experience in Life Sciences Consulting preferred.
- Hands-on work with Healthcare Claims Databases.
- Experience with Electronic Health Records (EHR).
- Exposure to Real World Evidence (RWE) projects.
- Experience supporting healthcare consulting engagements.
💰 Expected Salary Range: ₹8 LPA – ₹16 LPA (Estimated)
🗄️ Healthcare Database Experience Preferred
- IQVIA LAAD
- Komodo Sentinel
- Forian
- Compile
- Insurance Claims Databases
- Electronic Health Records (EHR)
- Real World Data Platforms
💻 Technical Skills Required
- SAS Programming
- SQL Development
- Python Programming
- Healthcare Data Analytics
- Real World Evidence (RWE)
- Healthcare Claims Data Analysis
- Electronic Health Records (EHR)
- Statistical Analysis
- Data Mining
- Healthcare Intelligence
🤖 Advanced Analytics & Machine Learning Skills
- Machine Learning Models
- Neural Networks
- Support Vector Machines
- Decision Trees
- Bayesian Regression
- Hierarchical Modeling
- Non-Linear Regression
- Unsupervised Learning
- Advanced Time Series Analytics
- Predictive Modeling
📚 Recommended Learning Resources
🚀 Why Join ClearView Healthcare Partners?
- Work on global Life Sciences Consulting projects.
- Exposure to advanced Healthcare Analytics and Machine Learning.
- Hands-on experience with large healthcare databases.
- Collaborative and high-performance work culture.
- Career growth opportunities in Life Sciences Consulting.
- Work with pharmaceutical, biotechnology, and medical device clients.
- International exposure and mentorship from industry experts.
- Opportunity to build expertise in Real World Evidence (RWE) and healthcare intelligence.
🎯 Preferred Candidate Profile
- Passion for healthcare analytics and life sciences.
- Strong statistical and quantitative reasoning skills.
- Ability to solve complex business problems using data.
- Experience handling real-world healthcare datasets.
- Strong programming background in SAS, SQL, or Python.
- Interest in consulting and strategic decision-making.
- Ability to communicate analytical findings clearly.
- Strong attention to detail and problem-solving mindset.
📄 ATS-Friendly Resume Tips
- Add keywords such as Healthcare Analytics, SAS Programming, SQL, Python, Machine Learning, RWE, EHR, Claims Data, Predictive Modeling, Data Mining, and Life Sciences Consulting.
- Highlight healthcare database experience prominently.
- Mention projects involving analytics, machine learning, or statistical modeling.
- Quantify achievements wherever possible.
- Keep the resume simple and ATS-friendly.
- Avoid graphics, tables, icons, and excessive formatting.
💡 Interview Preparation Tips
- Revise SAS, SQL, and Python concepts.
- Prepare healthcare analytics project examples.
- Review Machine Learning fundamentals.
- Understand healthcare claims and EHR datasets.
- Practice statistical modeling questions.
- Prepare business case studies and analytical reasoning questions.
- Be ready to explain how analytics drives healthcare decisions.
- Improve stakeholder communication examples.
📝 How to Apply
- Read the complete job description carefully.
- Update your resume with healthcare analytics experience.
- Highlight SAS, SQL, Python, Machine Learning, and healthcare database skills.
- Complete the 15-second timer below.
- Apply only if your qualifications match the role requirements.
🚀 Apply for ClearView Data Analyst Role
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📌 Note Before You Apply:
Kindly read the entire job description carefully before applying. Make sure your qualifications and experience align with the role requirements. Applying thoughtfully increases your chances of being shortlisted and creates a strong professional impression.
Kindly read the entire job description carefully before applying. Make sure your qualifications and experience align with the role requirements. Applying thoughtfully increases your chances of being shortlisted and creates a strong professional impression.
❓ Frequently Asked Questions
Q1. What is the required experience for this role?
Candidates with 1–3 years of experience in Healthcare Analytics or Life Sciences Consulting are preferred.
Q2. Which programming skills are important?
SAS, SQL, and Python are among the most important technical skills for this role.
Q3. Is healthcare database experience required?
Yes, experience with healthcare claims databases, EHR data, and RWE datasets is highly preferred.
Q4. What is the estimated salary range?
Based on similar roles, the estimated salary range is approximately ₹8–16 LPA depending on skills and experience.
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