Sr. Associate, Data Analysis & Visualization

Job Description Summary
Responsible for extracting insights and creating meaningful visualizations by performing data analysis on data, customer feedback, applying statistical techniques to evaluate product performance and safety, creating reports and dashboards for regulatory reporting and management review, and effectively communicating findings to stakeholders.
Job Description
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, artificial 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.
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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.