Patient Analytics Manager

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:

• Lead end-to-end consulting projects focused on patient analytics, including scoping, planning, and delivery.
• Analyze claims data to provide strategic insights, such as patient journey mapping, adherence trends, and segmentation.
• Oversee the development of Tableau dashboards and other visual tools to support client decision-making.
• Act as the primary point of contact for clients, ensuring their needs are met and fostering long-term partnerships.
• Mentor and develop team members, fostering a culture of continuous learning and growth.

Qualifications:

• Bachelor’s or Master’s degree in a quantitative or business-related field (e.g., Statistics, Data Science, or Healthcare Management).
• 6+ years of experience in US Pharma consulting, with a strong focus on patient analytics and claims data.
• Advanced expertise in Tableau for creating high-impact dashboards and visualizations.
• Demonstrated experience leading teams and managing client engagements.
• Exceptional problem-solving, organizational, and communication skills.

• Good to Have:

  Experience with Dataiku for advanced analytics and machine learning applications.