Tiger Analytics - Pharma Analyst

Responsibilities:

- Work on some of the latest applications of AI to solve complex business problems and demonstrate significant business value to one or more clients in the Pharma domain.

- Lead project teams consisting of consultants, analysts, data scientists, ML engineers etc.

- Closely engage with client stakeholders and onsite teams; participate in client workshops to identify high impact business problems that could be solved through AI based solutions.

- Translate those business problems (sometimes ambiguous) into clear analytic problem statements.

- Domain expertise in Pharma Industry or in Life Sciences worked on Analytics consulting as a mandate.

- Experience working on Analytics use cases: MMX, NBX, DT, Patient Segmentation, Payer Segmentation, Patient Journey analytics and similar use cases on the commercial side.

- Good understanding of databases such as APLD, Truven, Optum, Symphony etc.

- Minimum 6 years of relevant work experience in delivering advanced analytics.

Preferred candidate profile:

- Immediate to 15 days joiner with relevant domain experience in Pharma/Life science.

- Level of Hire - Senior Consultant/Engagement Manager, depending on the experience and interview feedback, could vary.

- Analytics/DS/ML experience is preferred.