
Data Insights Manager
3 days ago
KMK empowers leaders across the Life Sciences industry to make better data-driven decisions by leveraging our global data analytics and technology consulting services.
Our platforms support data science, commercial operations, real-world evidence, and cloud information management. We optimize business strategy and operations by delivering cutting-edge analytics from a broad 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. Our expertise in managing data using the latest cloud information management and big data technologies has helped us become leaders in this space.
We have over 220 employees worldwide, are growing rapidly, and proud to count top 10 global Life Sciences companies as our clients. We serve clients with 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 development of Tableau dashboards and other visual tools to support client decision-making.
- Act as 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 quantitative or business-related field such as Statistics, Data Science, or Healthcare Management.
- 6+ years experience in US Pharma consulting with 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.
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