Position Summary

This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients 

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  Contribute towards Axtria tools and capabilities as per the business requirements.  Build organization capabilities by participating in Hackathon, solution design, and process automation  Effectively communicate with onshore/ client (as per business needs)  Education Bachelor of Engineering in StatisticsWork Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain.   We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics.  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  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. Behavioural Competencies Teamwork & LeadershipMotivation to Learn and GrowOwnershipCultural FitProject ManagementCommunicationTechnical Competencies PythonSQLEXCELMachine LearningPharma Commercial Know HowPatient Data Analytics Know How