Key Responsibilities
- Collect and analyze large data sets to identify trends and insights that inform business decisions
- Collaborate with cross-functional teams to develop and implement data-driven solutions that improve business outcomes
- Develop dashboards and reports to communicate findings and insights to stakeholders.
- Build and maintain databases and data systems to ensure accuracy and accessibility of information for analytics
- Creates and modifies computer programs to extract information from company databases
- Identify opportunities to improve data collection and analysis processes and make recommendations to optimize workflows
- Foster a culture of creativity, collaboration, speed, innovation, and engineering excellence.
Key Requirements/Qualifications
Minimum Qualifications
- Bachelor’s degree in statistics, data science, or a related technical discipline.
- 2+ years of hands-on experience in data preparation and analysis of large-scale datasets.
- 2+ years of experience in Dashboard/BI and Data visualization tools (eg. Tableau, Quicksight, power BI)
- 2+ year of health care and health care data
- Proficient in SQL, Python, R and Excel
- Strong analytical and problem-solving skills, with attention to detail and accuracy.
- Thrives in dynamic, cross-functional team environments. Possesses a team-first mindset, valuing diverse perspectives and contributing to a collaborative work culture.
- Approaches challenges with a positive and can-do attitude. Willing to challenge the status quo, demonstrating ability to understand when and how to take appropriate risks to drive performance.
- Strong communication and collaboration skills to deliver business solutions
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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