
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
đź’µ $82.2k - $137k / year
⏰ Full Time
đźź Senior
📉 Data Analyst
đź‘» Ghost score 0%
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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.
• Partner with business stakeholders to understand objectives, operational processes, decision-making needs, desired outcomes, and data usage • Facilitate discovery sessions, requirements workshops, and stakeholder interviews • Translate customer needs into functional requirements, business rules, acceptance criteria, and value measures • Document business context, intended use, process requirements, and expected outcomes • Perform data discovery, profiling, and analysis to assess quality, completeness, metadata, usability, and fitness for purpose • Define business semantics, data definitions, transformation logic, source-to-target mappings, data relationships, and readiness criteria • Develop functional and data requirements • Partner with Data Operations and Data Engineering on solution design and delivery • Develop analytical datasets, reusable data assets, and Gold layer data solutions • Develop and execute functional testing, test cases, and business acceptance validation • Coordinate customer feedback, user acceptance testing, adoption, and transition activities • Assess processes for workflow improvement, simplification, and operational efficiency • Identify opportunities for data, workflow automation, AI, and integrated solutions • Develop analytical solutions, prototypes, and business insights • Support proof-of-concept and learning-stage work and enterprise-scale operationalization • Prepare documentation, training, and knowledge-transfer materials • Use AI, metadata, workflow, and reusable analytical patterns to improve analyst processes • Develop reusable templates, requirements assets, testing approaches, and documentation standards
• 5+ years of experience in data analysis, business analysis, data products, analytics consulting, or enterprise solution delivery • Experience gathering and translating business needs and operational processes into functional requirements, business rules, acceptance criteria, and data specifications • Experience with data discovery, profiling, data quality assessment, testing, business validation, and solution adoption • Proficiency with SQL, data analysis techniques, and enterprise analytical tools • Experience working with cross-functional business, product, technology, and data teams • Experience supporting business process automation, workflow solutions, or AI-enabled capabilities • Understanding of enterprise data platforms, integration patterns, analytics, AI, metadata, and automation technologies • Strong customer engagement, communication, facilitation, problem-solving, and stakeholder management skills • Experience in complex, regulated enterprises preferred • Experience with Databricks or comparable cloud data platforms and data product development initiatives preferred • Experience with workflow automation platforms, low-code solutions, process mining, or AI-enabled business solutions preferred • Knowledge of metadata management, data governance practices, and enterprise data architecture concepts preferred • Experience in healthcare, insurance, or another highly regulated industry preferred • Home internet connection obtained through cable broadband or fiber optic service with speeds of at least 10Mbps download/5Mbps upload when working from home
• Annual bonus plan eligibility • Medical benefits • Vision benefits • Dental benefits • Well-being and behavioral health programs • 401(k) • Company-paid life insurance • Tuition reimbursement • Minimum of 18 days of paid time off per year • Paid holidays • Leaves of absence • Cable broadband or fiber optic internet service with at least 10Mbps download/5Mbps upload for home working
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