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    Lead Data Analyst - Nashville, United States - The Cigna Group

    The Cigna Group
    The Cigna Group Nashville, United States

    1 month ago

    Default job background
    OTHER
    Description
    The job profile for this position is Business Analytics Lead Analyst, which is a Band 3 Senior Contributor Career Track Role.

    Excited to grow your career?

    We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply

    Our people make all the difference in our success.

    The Lead Data Analyst will support the data modeling and analytics for the Government Business Segment (Primarily Medicare Advantage business). The ideal candidate will have strong analytical skills, a deep understanding of data structures, and the ability to translate business requirements into effective data model to support Medicare analytics.

    The ideal candidate will have a collaborative and creative mindset and be able to:

    • Creatively solve problems to drive results through use of project management, technology, and processes
    • Consistently improve the department through positive attitude, attention to detail, and thorough documentation of deliverables
    • Effectively manage projects using agile principles
    • Handle ambiguity well

    This position will have exposure to a broad spectrum of the Government Business Segment data models and insights will support various departments including but not limited to: Finance, Risk Management, Operations, Contracting, Provider Relations, Health Services, Product, and local market leadership.

    Key responsibilities include

    • Develop and maintain data models to support the organization's analytic initiatives
    • Collaborate with cross-functional teams to understand business requirements and translate them into data models
    • Build and maintain data pipelines to ensure data integrity and reliability
    • Perform data analysis to identify trends, patterns, and insights that drive business decisions
    • Support the broader analytics community by providing expertise and guidance on data modeling best practices
    • Support matrix partners with ad-hoc needs and user story development for broader analytics organization efforts
    • Become an expert in CMS reimbursement methodologies and understand how to identify trends and hot spots by payment area

    Minimum Qualifications

    • Bachelor's Degree in Computer Science, Engineering, Analytics, Biostatistics, Statistics, Mathematics, or equivalent training.
    • Minimum 3 years' experience in analytics; or any combination of education and experience.
    • Proficiency in SQL
    • Experience using Git, Excel, Python, Tableau, SAS, or R
    • Strong analytic and problem-solving skills
    • Excellent oral and written communication skills
    • Proven ability to work effectively in a matrixed environment

    Preferred Qualifications:

    • Experience in data modeling
    • Experience with CMS healthcare data (MMR, Claims, Eligibility, Provider)
    • Experience with CMS payment methodologies (IPPS, OPPS, etc)
    • Familiarity with medical and pharmacy claims, ICD10, DRG, APC, HCPCS, CPT
    • Experience with Teradata, Hadoop, or other big data platforms
    • Data Modeling

    If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

    Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.

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