Senior Consultant US Pharma / Healthcare Analytics

Senior Consultant US Pharma / Healthcare Analytics

Experience: 4–7 Years (Tentative)
Industry: Pharmaceutical / Healthcare / Life Sciences Analytics
Department: Data Science & Analytics
Employment Type: Full-Time

Job Summary

We are looking for an experienced Senior Consultant – US Pharma / Healthcare Analytics with strong expertise in advanced SQL, Python, pharmaceutical datasets, and business analytics.

The ideal candidate should have hands-on experience working with US Pharma Claims, Sales, APLD (Anonymous Patient-Level Data), and Market Access Analytics, along with the ability to translate complex business requirements into actionable analytical insights.

Key Responsibilities

• Perform advanced data analysis using SQL, Python, and analytical tools to solve complex business problems.
• Work extensively with US Pharma datasets, including Claims, Sales, APLD, and Market Access data.
• Develop data models, transformation processes, and scalable analytical solutions.
• Apply therapeutic area knowledge to identify market trends, patient journeys, and commercial opportunities.
• Deliver end-to-end analytical projects, from requirement gathering to business recommendations.
• Develop dashboards, reports, and data stories to communicate actionable insights.
• Apply hypothesis-driven problem-solving techniques to complex analytical challenges.
• Identify automation opportunities to improve efficiency, accuracy, and scalability.
• Collaborate with business stakeholders to understand requirements and develop analytical frameworks.
• Mentor junior analysts and ensure the quality and accuracy of analytical deliverables.

Required Skills & Qualifications

• Strong hands-on expertise in Advanced SQL.
• Working proficiency in Python for Data Analytics.
• Relevant experience in US Pharma / Healthcare Analytics.
• Experience working with Claims, Sales, APLD, or Patient-Level Data.
• Understanding of Market Access / Pharma Commercial Analytics.
• Knowledge of data modeling, data transformation, and analytical frameworks.
• Strong analytical problem-solving and stakeholder management skills.
• Ability to independently manage analytical deliverables and generate business insights.

Preferred Skills

• Therapeutic Area (TA) exposure.
• Experience with IQVIA, Komodo, or similar pharmaceutical datasets.
• Dashboarding and data visualization experience.
• Automation and analytics optimization.
• Experience mentoring junior analysts.

Important: Candidates with relevant US Pharma / Healthcare Analytics experience and strong SQL skills will be preferred. Generic IT Data Analyst profiles without pharmaceutical domain exposure may not be suitable.