Analytics Consultant - Health Management Information System

You will be working as a Patient Analytics Consultant at DataZymes, where you will be responsible for analyzing integrated healthcare datasets to generate patient-level insights, develop predictive models, and provide data-driven recommendations to support clinical and commercial decision-making. Your role will require a deep clinical understanding, patient-level data expertise, and advanced analytical skills to drive strategic and operational decisions. Key Responsibilities: - Apply a strong understanding of healthcare delivery models and patient care pathways. - Conduct patient-centric analyses such as treatment patterns, line-of-therapy, and disease progression analyses. - Integrate and analyze claims, EHR, lab, and pharmacy datasets to develop longitudinal patient journeys across multiple care settings. - Define cohorts, enrollment logic, and episode-of-care frameworks. - Develop complex SQL/Python queries for large-scale healthcare datasets. - Use Python for predictive modeling including classification, regression, survival, clustering, etc. - Translate analytical findings into clear, strategic insights and develop executive-ready presentations and dashboards. - Communicate complex methodologies to technical and non-technical stakeholders. - Quantify the business and clinical impact of recommendations. - Quickly adapt to new therapeutic areas and problem domains. - Test innovative analytical methods and modeling approaches. - Adapt to evolving client priorities and ambiguous problem statements. Qualifications Required: - 4+ years of experience as an analytics consultant with 2+ years in the pharma domain. - Hands-on experience working with patient-level datasets such as claims, EHR, lab, and pharmacy data. - Experience in patient journey analysis, treatment patterns, disease progression, and advanced analytics. - Proficiency in SQL, Python, and predictive modeling techniques (regression, classification, clustering). - Experience combining multiple healthcare datasets and building longitudinal patient views. - Ability to translate complex analysis into actionable business and clinical insights. - Educational background in Data Science, Statistics, Public Health, Epidemiology, Biostatistics, Computer Science, or related field. In addition to the above requirements, the company offers hybrid work-from-home flexibility for six days a month, and the total compensation (CTC) is inclusive of a 10% variable component. Preferred qualifications include a Master's degree and experience delivering analytics in a client-facing environment. You will be working as a Patient Analytics Consultant at DataZymes, where you will be responsible for analyzing integrated healthcare datasets to generate patient-level insights, develop predictive models, and provide data-driven recommendations to support clinical and commercial decision-making. Your role will require a deep clinical understanding, patient-level data expertise, and advanced analytical skills to drive strategic and operational decisions. Key Responsibilities: - Apply a strong understanding of healthcare delivery models and patient care pathways. - Conduct patient-centric analyses such as treatment patterns, line-of-therapy, and disease progression analyses. - Integrate and analyze claims, EHR, lab, and pharmacy datasets to develop longitudinal patient journeys across multiple care settings. - Define cohorts, enrollment logic, and episode-of-care frameworks. - Develop complex SQL/Python queries for large-scale healthcare datasets. - Use Python for predictive modeling including classification, regression, survival, clustering, etc. - Translate analytical findings into clear, strategic insights and develop executive-ready presentations and dashboards. - Communicate complex methodologies to technical and non-technical stakeholders. - Quantify the business and clinical impact of recommendations. - Quickly adapt to new therapeutic areas and problem domains. - Test innovative analytical methods and modeling approaches. - Adapt to evolving client priorities and ambiguous problem statements. Qualifications Required: - 4+ years of experience as an analytics consultant with 2+ years in the pharma domain. - Hands-on experience working with patient-level datasets such as claims, EHR, lab, and pharmacy data. - Experience in patient journey analysis, treatment patterns, disease progression, and advanced analytics. - Proficiency in SQL, Python, and predictive modeling techniques (regression, classification, clustering). - Experience combining multiple healthcare datasets and building longitudinal patient views. - Ability to translate complex analysis into actionable business and clinical insights. - Educational background in Data Science, Statistics, Public Health, Epidemiology, Biostatistics, Computer Science, or related field. In addition to the above requirements, the company offers hybrid work-from-home flexibility for six days a month, and the total co