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About IQVIA:
IQVIA is a leading global provider of advanced analytics, technology solutions and contract research services to the life sciences industry. Formed through the Merger of IMS Health and Quintiles, IQVIA applies human data science – leveraging the analytic rigor and clarity of data science to the ever-expanding scope of human science – to enable companies to reimagine and develop new approaches to clinical development and commercialization, speed innovation, and accelerate improvements in healthcare outcomes. Powered by the IQVIA CORE, we deliver unique and actionable insights at the intersection of large-scale analytics, transformative technology, and extensive domain expertise as well as execution capabilities. With approximately 86,000+ employees, we conduct operations in more than 100 countries.
IQVIA has also featured in FORTUNE’s 2026 List of “World’s Most Admired Companies”. At IQVIA, you will have the opportunity to build your career, while helping our customers drive human health outcomes forward. We dedicate our experience, resources, and reputation so that you can drive your career and choose the path that best defines your development and success.
Data Analytics Analyst (Healthcare/Pharma Analytics)
Experience: 2-5 Years
Location: Bangalore / Gurgaon
Work Mode: Hybrid
Position Purpose
Work as an individual contributor in delivering commercial analytics and business insights projects for pharmaceutical and healthcare clients. The role will focus on market assessment, forecasting, go-to-market strategy, competitive intelligence, resource optimization, segmentation and targeting, customer analytics, and brand performance analytics.
The individual will collaborate with internal stakeholders and external clients to understand business problems, gather requirements, and translate data-driven insights into strategic recommendations that support commercial decision-making.
Primary Skills & Expertise Required
- Market Assessment
- Go-to-Market (GTM) Strategy
- Data Forecasting
- Competitive Intelligence
- Sales Force Effectiveness (SFE)
- Primary Market Research
- Secondary Market Research
- Strong analytical and problem-solving skills
- Ability to develop strategic recommendations from complex datasets
- Strong stakeholder management and presentation skills
Technical & Analytical Skills
- Data Analytics and Healthcare/Pharma Analytics
- Advanced proficiency in Microsoft Excel (including formulas and data analysis)
- Strong proficiency in PowerPoint and Word
- SQL, Python, R, SAS
- Experience with predictive modeling, forecasting, segmentation, and targeting
- Knowledge of dashboarding and visualization tools; VBA experience is a plus
- Experience with advanced statistical and machine learning techniques, including:
- Regression (Linear & Logistic)
- Factor Analysis
- Principal Component Analysis (PCA)
- Cluster Analysis
- Decision Trees
- Random Forest
- Gradient Boosting Techniques
- Time Series Analysis
- Other advanced analytics and machine learning methodologies
Key Responsibilities
- Deliver commercial analytics projects including forecasting, market assessment, competitive intelligence, customer analytics, segmentation and targeting, resource optimization, and brand performance analytics.
- Support pharmaceutical and healthcare clients in solving complex business problems through analytics-driven insights.
- Partner with business stakeholders to understand objectives, gather requirements, and develop actionable recommendations.
- Lead and execute projects involving promotional effectiveness, ROI analysis, sales force effectiveness, pricing optimization, physician/patient profiling, and commercial strategy.
- Conduct primary and secondary market research to support strategic business decisions.
- Analyze market trends, competitive landscapes, and commercial opportunities.
- Communicate findings and recommendations through impactful presentations and reports.
- Ensure timely project delivery and maintain high-quality documentation.
- Drive continuous improvement and delivery excellence across projects.
- Collaborate effectively with cross-functional teams and client stakeholders.
Education & Experience
- Bachelor's or Master's degree in Economics, Econometrics, Statistics, Operations Research, Mathematics, Data Science, Engineering, or MBA with relevant experience.
- 3+ years of experience in Analytics, Commercial Analytics, Market Research, Forecasting, Consulting, or Healthcare/Pharma Analytics.
- Prior experience in pharmaceutical, healthcare, life sciences, or consulting organizations is preferred.
Preferred Background
Candidates with experience in:
- Pharmaceutical and healthcare consulting
- Market assessment and commercial strategy projects
- Forecasting and competitive intelligence
- Go-to-market planning
- Sales force effectiveness analytics
- Business insights and strategic recommendations
- Client-facing analytics and stakeholder management
Good to Have
- Familiarity with pharmaceutical industry concepts, terminology, and market dynamics.
- Experience in automating analytics solutions using Python or R.
- Exposure to machine learning model deployment.
- Participation in analytics competitions such as Kaggle.
- Self-driven, flexible, and capable of working independently in a fast-paced environment.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.