
10,000+ employees
Founded 1982
đĽ Healthcare
âď¸ Healthcare Insurance
đ 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.
đ October 9
đ Alabama, Alaska, +16 more states â Remote
đľ $82.2k - $137k / year
â° Full Time
đ Senior
đ Data Analyst
đť Ghost score 26%
Where this job comes from
Posted on The Cigna Group's careers page, not through a job board
First seen by Remote Rocketship October 9
Still open on The Cigna Group's site. Checked 7 hours ago.

10,000+ employees
Founded 1982
đĽ Healthcare
âď¸ Healthcare Insurance
đ 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.
⢠Translate business opportunities, customer needs, and operational challenges into actionable data requirements, integrated data solutions, and analytical deliverables ⢠Partner with business customers, Digital Product, Analytics, AI, Data Operations, and Technology teams to understand processes, document requirements, assess data, validate solutions, and ensure business outcomes ⢠Facilitate discovery sessions, requirements workshops, and stakeholder interviews ⢠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 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 and improve business processes through workflow improvement, process simplification, and automation ⢠Partner with automation, AI, DataOps, and Technology teams to define requirements, validate solutions, and measure business value ⢠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-function 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 and translating business requirements into actionable solution designs ⢠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 ⢠Cable broadband or fiber optic internet service with at least 10Mbps download/5Mbps upload for home working
⢠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 required for home working, with at least 10Mbps download/5Mbps upload
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