• Sr. Data Analyst (Fulfillment/Persistency)

    Insight Global (Hopewell Township, NJ)


    Job Description

    Insight Global's top pharmaceutical client is building an embedded team within their Commercial AI Products organization to support their Patient Experience AI capabilities. The Sr. Analyst will be assigned to a specific therapeutic area and help lead fulfillment/persistency by focusing on patient journey analytics. They will use their technical skillset to identify patient leakage drivers for fulfillment/persistency, develop reports on new product features and impacts, and bridge results of fulfillment/persistency models with existing marketing mix models.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    3+ years' in data analysis or data science in highly matrixed commercial life sciences environments

     

    Technical skills in advanced excel, SQL, Python preferred, and knowledge of Machine Learning models

     

    Experience with 3rd party Patient level claims data (IQVIA, Komodo, Symphony, etc)

     

    Experience working with partners in MLOps environment

     

    Strong communication and interpersonal skills Knowledge of marketing mix modeling, ML models for dynamic call plans

     

    Experience supporting field reimbursement managers