MSD Manager- Data Science 

India, Maharashtra 

666017141

Primary responsibilities include, but are not limited to:

• Design, develop and optimize multiple reports and dashboards after capturing the requests from stakeholders.

• Design and implement best-in-class UI/UX practices, leveraging available reporting tools including but not limited to PowerBI, Spotfire, Power Apps etc.

• Responsible to effectively translate complex pharmaceutical data into clear and meaningful visualizations

• Leverage understanding of data manipulation tools (Excel, PowerBI etc.) and languages (Python) to design data pipeline and necessary report architecture.

• Collaborate across stakeholders closely with cross-functional teams including data scientists, business analysts, and regulatory professionals.

• Present analytical findings and visualizations to both technical and non-technical audiences effectively.

Qualifications and Skills

• Engineering / Management / Pharma post-graduates with 3+ years of experience in relevant roles, including at least 1-2 years in the pharmaceutical industry.

• Proven ability to work collaboratively across large and diverse functions and stakeholders.

• Strong analytical skills with an aptitude for problem-solving and design thinking.

• Proven experience in data analysis using SQL, capable of writing complex queries for ETL processes.

• Experienced in leveraging statistical methods to analyze trends and patterns within pharmaceutical data.

• Experience in developing dynamic visualizations using Power BI, Spotfire, or other tools, creating dashboards and reports that enhance data understanding and usability.

• Proficiency in building custom applications with Power Apps to increase data interactivity and user engagement.

• Experienced in applying UI/UX principles while designing solutions/products.

• Demonstrated understanding of the pharmaceutical industry, including regulatory requirements, clinical trial data, and various data types such as patient-reported outcomes.

• Proficiency in translating complex pharmaceutical data into clear and meaningful visualizations, ensuring insights align with stakeholder needs and industry standards.

• Experienced in working with large datasets to derive actionable insights, trends, and predictive analytics.

• Excellent collaboration skills, with a proven ability to work closely with cross-functional teams including data scientists, business analysts, and regulatory professionals.

• Excellent communication skills, capable of presenting analytical findings and visualizations to both technical and non-technical audiences effectively.