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Updated 2026-06-09 23:00 UTC·© 2025–2026 RoleSuite
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Sr. Associate, Data Analysis & Visualization

Alcon · Bangalore, India

At Alcon, we're passionate about enhancing sight and helping people see brilliantly. With more than 25,000 associates, we innovate fearlessly, champion progress, and act swiftly to impact global eye health. We foster an inclusive culture, recognizing your contributions and offering opportunities to grow your career like never before. Together, we make a difference in the lives of our patients and customers. Are you ready to join us?

This role is part of Alcon's Analytics & Intelligence function, a team that advances data science, articficial intelligence, and machine learning to transform the eye care industry.

The Sr. Associate, Data Analysis & Visualization (Professional Path), is primarily responsible for optimizing outcomes through specialized data analysis and visualization tasks. You will apply data science techniques to analyze data, create visualizations, and communicate findings to partners. Specifics include:

• Perform specialized data analysis and visualization tasks, utilizing data science techniques such as statistical analysis and data mining to extract insights
• Conduct independent research to optimize outcomes and contribute to achieving project goals with advanced skills
• Create meaningful visualizations to communicate findings effectively
• Achieve goals through mainly self-directed work with potential guidance from management, making decisions within the scope of assigned tasks
• Apply advanced knowledge and analytical skills, demonstrating self-direction and effective communication skills

ATTENTION: Current Alcon Employee/Contingent Worker

If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.

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Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.

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