Senior Associate, Patient Analytics

KMK Consulting Logo

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 data analytics and software platforms supporting data science, commercial operations, real-world evidence, and cloud information management. As a key member of our team, you will analyze patient-level claims data, support the development of patient-centric analytics solutions, design dashboards in Tableau, collaborate with clients, and ensure data quality. You will also mentor junior team members. We are a rapidly growing company with over 220 employees and serve top Life Sciences companies globally. This role requires a Bachelor's degree in a quantitative field and 3+ years of US Pharma consulting experience focused on patient analytics and claims data.

Requirements

  • Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, or Data Science)
  • 3+ years of experience in US Pharma consulting, with a focus on patient analytics and claims data
  • Proficiency in Tableau for creating insightful dashboards and visualizations
  • Strong analytical and problem-solving skills, with the ability to interpret complex datasets
  • 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

Familiarity with Dataiku for data preparation and machine learning workflows

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