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Logo of The Cigna Group

The Cigna Group

10,000+ employees

Founded 1982

🏥 Healthcare

⚕️ Healthcare Insurance

đź’Š Pharmaceuticals

Healthcare • Healthcare Insurance • Pharmaceuticals

The Cigna Group is a global health company committed to improving the health and vitality of its clients, customers, and patients. With its two divisions, Cigna Healthcare and Evernorth Health Services, the company focuses on enhancing quality of life through healthcare services and pharmacy benefits management. The Cigna Group is dedicated to ethical practices in healthcare and artificial intelligence, and strives to create positive change in the healthcare system. It also emphasizes its Environmental, Social, and Governance (ESG) responsibilities, aiming to impact health equity and foster innovation in healthcare delivery.

đź“‹ Description

• Lead complex initiatives to improve claim accuracy and operational efficiency • Develop and apply statistical models and predictive analytics to identify opportunities within healthcare claims data • Collaborate with cross-functional teams to migrate SAS-based edits to a new platform • Drive enterprise data initiatives focused on improving data quality and operational effectiveness • Design and execute model validation and performance monitoring approaches

🎯 Requirements

• At least 3 years of hands-on experience in data mining, analysis, and processing using tools like SAS, SQL, Python, R • Bachelor's degree in Business Analytics, Data Science, Information Systems, Computer Science, Statistics, Applied Mathematics, or Healthcare Informatics preferred • 7+ years of experience in data analytics, data science, or business intelligence, preferably within healthcare • Proven ability to extract actionable insights using advanced data mining techniques and business intelligence tools • Strong understanding of machine learning concepts and model development lifecycle

🏖️ Benefits

• Health insurance • 401(k) matching • Tuition reimbursement • Minimum of 18 days of paid time off per year • Paid holidays • Leaves of absence

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