At our Company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.

Integrated Research and Forecasting (IRF) is a global function encompassing long-range pharmaceutical asset forecasting across the product lifecycles of all assets within Human Health (Oncology, Vaccines, Hospital Specialty / Primary care). Assets include early and late-stage molecules in clinical development, companies under considerations by business development for partnering and/ or acquisition as well as currently launched products. Forecasting deliverables support division planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across divisions, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Specialist – Data Science - Visualization”

We are looking for a team member within the Forecasting team located in Pune for forecasting tools, methodologies, and capabilities. You will be a detail-oriented visualization developer with a strong background in creating impactful data visualizations and performing data analytics, particularly within the pharmaceutical industry. Combines technical proficiency with analytical expertise to design and develop insightful visualizations for reports that drive informed business decision-making. Adept at translating complex datasets into clear and compelling reports that cater to diverse stakeholders across the organization.

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.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.