Senior Associate, Patient Analytics

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KMK Consulting

πŸ“Remote - India

Summary

Join KMK, a global data analytics and technology consulting company, and empower leaders in the Life Sciences industry to make better data-driven decisions. We offer cutting-edge analytics and software platforms supporting data science, commercial operations, and cloud information management. As a key member of our team, you will analyze patient-level claims data, develop patient-centric analytics solutions, and create insightful dashboards in Tableau. Collaboration with project managers and clients is crucial, as is ensuring data quality and mentoring junior team members. We are a rapidly growing company with a global presence and serve top Life Sciences companies worldwide.

Requirements

  • Hold a Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, or Data Science)
  • Have 3+ years of experience in US Pharma consulting, with a focus on patient analytics and claims data
  • Be proficient in Tableau for creating insightful dashboards and visualizations
  • Possess strong analytical and problem-solving skills, with the ability to interpret complex datasets
  • Have excellent communication skills to present findings effectively to clients

Responsibilities

  • Analyze and interpret patient-level claims data to uncover actionable insights for pharma clients
  • Support the development of patient journey analysis, market landscape, treatment overview, adherence studies, and other patient-centric analytics solutions
  • Design, develop, and maintain dashboards and visualizations in Tableau tailored to client needs
  • Collaborate with project managers and clients to define business requirements and translate them into analytical frameworks
  • Ensure quality control and accuracy in data handling and reporting
  • Provide mentorship to junior team members on analytics techniques and best practices

Preferred Qualifications

Have familiarity with Dataiku for data preparation and machine learning workflows

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