Sr. Associate, Data Analysis & Visualization

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?

Summary of Position:

Responsible for designing and developing reports, visualizations & dashboards to support key decision making for talent, including use of sensitive HR data. Conducting data mining and visualization to identify trends and patterns. Presenting actionable people insights, using relevant programming language(s) and technology, to stakeholders across the company.

Key Responsibilities:

·       Designing and developing reports, visualizations & dashboards to support key people decision making.

·       Conducting data mining and visualization to identify trends and patterns.

·       Responsible for developing executive level PowerPoint decks that bring insights into action.

Key Requirements/Minimum Qualifications:

• Bachelors or Masters in Computer Science, Data Engineering/Science, Information Systems, or a related field.

• 5 to 8 years of experience.

• Data Analysis methods

• Experience working with creation and deployment of agents within Fabric Framework, preferably copilot.

• BI Dashboards (Tableau, QuickSight, Power BI, etc.). Preferably Power BI.

• Advanced Visualization techniques and Real-Time Intelligence (if in Power BI)

• Power Automate knowledge is highly desirable, but not necessary

• Executive PowerPoint presentations

• Storytelling with Data

• Attention to detail, Insights to Action, Dashboards/Visualization

• High proficiency in SQL

• Preferred: Experience in Alteryx, AWS Stack

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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.