Manager, Commercial Analytics

2 months ago

Vadodara, India KMK Consulting Inc. Full time
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, realworld evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest 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. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

The responsibilities:

• Conducting hands-on secondary data analytics projects to inform a range of business issues, including HCP and patient analysis, market dynamics, customer journey analytics, and managed markets analytics, etc.
• Communicate/manage stakeholders, understand business questions and perform relevant analytics to address questions; able to translate analytics to insights.
The skillset required is:
• At least 5 yrs. of experience in Pharma Commercial Analytics
a. Patient analytics using claims and secondary market data.
b. Brand performance analytics and reporting
c. Marketing analytics & Marketing Mix/Promotional Mix Modeling.
• Proficiency in working with data sources like APLD, Specialty Pharmacy, Hub services, Formulary etc.
• High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred)

Qualitative skills:
a. Independent contributor/Self starter
b. Good communication and presentation skills to present work to Executive Leadership team
• Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data

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