Associate- Decision Science

• 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.