Manager- Data Science

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.