Associate- Decision Science - Noida - confidential

    confidential
    confidential Noida

    2 days ago

    Full time
    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.

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