To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision in pharma domain
Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc Experience using various patient level data like APLD, EHR, patient registries etc Can work across variety of projects from advanced analytics, adhoc analysis and reporting Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite Teamwork and collaboration and can mentor junior associates Articulate in communication – written or verbal and able to convey ideas and information clearly to client or client facing teams Willingness to learn and innovate Experience in pharmaceutical sales and marketing analytics would be preferred Education Bachelor of Engineering in StatisticsWork Experience- Overall, 3-6 years of rich experience in the Pharmaceutical / Life Sciences Domain.
- Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills.
- Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc.
- Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources.
- Experience in Machine Learning, supervised and unsupervised, Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Random Forest, Deep Learning Algorithms, Model Explain ability, ML model deployment.
- Relevant work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark.
- Strong communication, project management, and storyboarding skills.
- Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory.
- Experience in Pharma commercial analytics experience will be preferred.