Associate Manager, Advanced Analytics, Omnichannel and Patient Analytics Key skills(must have): Pharma experience, Omnichannel Analytics and Patient Analytics. This is a hybrid role in Princeton, NJ- work from office 2 to 3 days/week We are looking for a resource in the range of 5 to 10 years of experience.
You will be responsible for:
Your impact: - 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
About you: - Bachelor's or Master's degree in Computer Science, Data Science, Pharmaceutical Sciences
- 4+ 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 advantage
- Experience in AI/ML predictive modeling
- Strong understanding of the pharma ecosystem and familiarity with key data sources, industry trends, and compliance requirements
- Experience 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