Manager, Commercial Analytics

Experience: 8+ years

Must Have -Life sciences Commercial analytics, Marketing effectiveness, Field Force Analytics as key skills

Roles & Responsibilities

The candidate will work closely with client facing teams and or clients directly and will be responsible for specific responsibilities in one or more of the following areas:

• Excellent understanding of Pharma Data sets – Commercial, Claims Data, EMR, Digital
• Strong experience
  • Marketing Analytics – Marketing Mix, Campaign effectiveness, Omnichannel
  • Commercial Analytics – Product Launch, Segmentation and Targeting, Dashboards
• Deliver data and BI/analytics driven engagements
• Strong business acumen
• Strong project management skills
• To actively engage in knowledge learning & sharing
• Excellent communication skills
  • Ability to summarize the essence in speech & in written communication
• Ability to influence and lead others 

Key Overall Skills:

• Should have business acumen, take initiative and be self-driven
• Strong conceptual knowledge on statistics
• Should have hands on experience in working on advance analytics projects involving statistical models
• Need to have worked with life sciences data sets (Commercial, Real World, Digital)
• Experience in requirements gathering and design for BI/analytics
• Strong Client facing skills
• Creative problem-solving skills
• Strong business and technical knowledge accountability

 Technical Skills

• Hands on experience working on any of the data querying language SQL
• Hands on experience on any of the advanced analytics tools SAS/R/Python
• Good Database knowledge 

What will you focus on? 

• Excellent understanding on Theory & Application of the Statistical Sciences 
• Conduct analysis to address critical business challenges faced by client teams working in healthcare and life sciences
• Gathering business requirements to create high level business solution framework covering aspects of data science, data driven business process
• Interface with client teams along to develop solutions for identified opportunities across Commercial Analytics 
• Ability to work with large data sets and present findings / insights to key stakeholders.  
• End to End Ownership of Use Cases