Job Description

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 a variety of projects from advanced analytics, ad-hoc analysis, and reporting . Strong in logical reasoning, structuring of analysis, asking the right questions and a logical approach to analyze 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 Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain . 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.