ZoomRx - Senior Consultant - Healthcare Commercial Analytics (4-8 yrs)

Senior Consultant, Commercial Analytics, Chennai/Pune/Gurugram (Remote)

What will you be a part of?

The Commercial Consulting Analytics (CCA) team at ZoomRx is dedicated to helping clients tackle complex commercial challenges that cannot be effectively addressed using primary data alone. Their expertise lies in integrating secondary data and often combining it with primary data to deliver comprehensive insights. The team employs best-in-class analytic methodologies and techniques to solve these problems, ensuring clients receive high-quality, actionable solutions.

What does your day look like as a Senior Consultant?

Primary Responsibilities:

- Work closely on integrating primary market research assets with secondary healthcare data streams, including but not limited to claims, digital marketing, CRM, and other real-world data sources to uncover valuable client insights

- Responsibilities include use case generation, building analytical models, and building presentations for relevant stakeholders

- Establish and document best practices for cleaning, processing, integration, and analysis of patient-level pharmaceutical claims data

- Derive analytical solutions and business rules to address key business questions from pharmaceutical clients

- Contributed to projects involving the development of response curves and well-versed strategies, utilizing optimization techniques as part of a comprehensive marketing mix analysis

- Develop solutions for integration of patient-level claims data with existing primary market research data sets using SQL querying

- Knowledge of statistics and ability to run predictive / machine learning models in R/Python.

Monitoring and management of extensive ZoomRx internal data assets including but not limited to:

- Serving as a data custodian to facilitate the resolution of business issues and develop enterprise data models and dictionaries, translating business needs into long-term architecture solutions

- Overseeing and governing the expansion of existing data architecture and the optimization of data query performance via best practices.

- Creation of best practices regarding collection, storage, integration, and dissemination of disparate and complex primary and secondary data streams by working closely with the Tech team.

Required Skills/Expertise:

- BE/B.Tech/M.Tech, MBA (Optional) with 4+ years of experience of Pharma Commercial Analytics

- Proficiency in handling small and large datasets through Excel/VBA, MS Access / SQL Server, Python or R.

- Intermediate understanding of APLD (claims data), call activity data & primary market research data

- Basic knowledge of statistics and ability to run predictive / machine learning models in R/Python

- Worked on projects like (at least 2 of them): Marketing mix, Demand estimation, Customer Segmentation, Sales force sizing, Patient Journey using claims.

- Experience in data visualization platforms like Tableau, Power BI, Qlik View (anyone)

- Ability to justify, defend, and debate design & development choices

- Ability to manage small teams to develop targets over extended timelines

- Excellent communication skills, including comfort in communicating technical expertise directly with non-experts.