Analytics Manager Healthcare (Omnichannel & Patient Analytics)

Job Description:

• Work closely with clients to comprehend their requirements and varied objectives including (but not limited to) implementation of omnichannel analytics for sales force and digital channels
• Lead the assessment of existing ecosystems across key pillars, including client portfolio plans & objectives, technical architecture, data models etc
• Collaborate with cross-functional teams to design and implement the optimal solution, ensuring seamless integration with existing processes
• Leverage pharma industry exposure to provide strategic insights and recommendations for stated client objectives
• Demonstrate proficiency in understanding and working with diverse datasets, and assess their suitability for integration into the proposed solution
• Apply data science skills to ensure robust and scalable model deployment
• Foster strong client relationships, serving as a trusted advisor and ensuring client satisfaction throughout the implementation process
• Provide training and support to internal teams to ensure smooth and continued success on project implementations
• Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team
• Develop and disseminate innovative analytical techniques, processes and tools, that can be leveraged across projects / engagements
• Support business development activities by building new capabilities and participating in client meetings as a subject matter expert
• Monitor industry trends and implement best practices to improve in-house capabilities

What we need -

• Bachelor's or Master’s degree in Computer Science, Data Science, Pharmaceutical Sciences
• 10 overall years of experience in leading analytical projects in pharma domain
• Experience in pharma sales force analytics is a must. Experience in other areas including, but not limited to, patient analytics, digital analytics, commercial analytics is an added advantageExperience in AI/ML predictive modeling
• Strong understanding of the pharma ecosystem and familiarity with key data sources, industry trends, and compliance requirementsExperience in areas of risk-score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing will be an added advantage
• Exceptional client management and communication skills, with a demonstrated ability to build and nurture relationships
• Strong analytical and problem-solving abilities, with a keen attention to detail and willing to learn in a fast paced environment
• Excellent project management skills, including the ability to prioritize tasks, manage timelines, and deliver on commitments
• Willing to work in a highly demanding and result-oriented cross-functional team environment