Senior Associate, Patient Analytics- Remote

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform. Key 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. Qualifications: 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. Good to Have: Familiarity with Dataiku for data preparation and machine learning workflows.