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    Lead Decision Support Analyst - Remote, United States - Florida Blue

    Florida Blue
    Florida Blue Remote, United States

    2 weeks ago

    Default job background
    Full time
    Description

    Do you have a strong background in R language and data analytics? Would you enjoy data monitoring, application development and regression modeling to support the needs of the business? Are you looking for a position that is on the cutting edge of crafting health care solutions for our members? If so, read on and get ready to apply

    Job Summary
    The Decision Support Analytics team resides within the Health Business' Enterprise Shared Services (ESS). Decision Support Analytics team members provide analytical and operational support to the core processes of ESS; act as consultants and analytical support for the Enterprise; engage with Information Technology (IT) to define, prototype, and operationalize business solutions. The Specialist V conducts statistical analysis and research on key business processes and operations at the business' request. Responsibilities will include building strong relationships with internal customers, developing custom reporting, metrics and key performance indicators integrating data from many sources, ensuring understanding and correct application of analysis, and delivering presentations used to guide high-value decisions.

    What You Will Be Doing:

    • Writes advanced programs for data extraction using SQL; joins multiple tables together, uses complex subqueries and aggregates data to eliminate the need for manual manipulation.
    • Reverse-engineers existing programs to understand and document the rules behind data extraction.
    • Makes use of advanced SAS, R, Python, or related programming skills to manipulate and analyze very large datasets, prototype complex operational reports, run simulations and/or statistical analysis, and turn Big Data into business-consumable metrics.
    • Proactively seeks training and builds knowledge/experience of tools, languages, and data sources.
    • Analyzes data and applies advanced statistical tools and techniques to derive insights and identify areas of opportunity.
    • Produces advanced spreadsheets, documents and presentations that are easy to follow (e.g. Excel and PowerPoint).
    • Initiates and participates in the peer reviewing of work to ensure the quality of deliverables; leads peer review sessions for major deliverables.
    • Serves as a resource and subject matter expert for one or more data sources within the Health Business; can provide advice and guidance on the proper use of data.
    • Provides guidance and mentorship to other team members.
    • Assists in the analysis, mapping and documentation of processes and programs in achieving stated goals. Provides recommendations if corrections are needed.
    • Engages in long-term mentorship and development of other team members as required.
    • Communicates effectively with internal customers and business partners; able to present and communicate analysis results to the business.
    • The essential functions listed represent the major duties of this role, additional duties may be assigned.

    What You Must Have:

    • 4+ years related work experience to include strong R programming skill
    • Related Bachelor's degree or additional related equivalent work experience
    • Strong analytical and critical thinking skills.
    • Experience working with and applying statistical methods and tools.
    • Extensive experience writing SQL, SAS, R or related code.
    • Previous experience teaching, mentoring or coaching analytical resources.
    • Proficient with Microsoft Office products.
    • Ability to manage tasks independently, take ownership of responsibilities and meet deadlines.
    • Strong written and oral communication skills.

    What We Would Prefer You Have:

    • Knowledge of health insurance products, claims, and enrollment and billing.
    • Masters Degree in Business Analytics, Health Economics, Statistics, Engineering, Mathematics, Computer Science, Data Science, or related field. (Highly Preferred)
    • Demand Forecasting, predictive analytics and ML modeling experience are highly preferred skills.

    General Physical Demands
    Sedentary work: Exerting up to 10 pounds of force occasionally to move objects. Jobs are sedentary if traversing activities are required only occasionally.

    What We Offer:
    As a Florida Blue employee, you will thrive in our Be Well, Work Well, GuideWell culture where being well as an individual, and working well as a team, are both important in serving our members and communities.

    To support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to:

    • Medical, dental, vision, life and global travel health insurance;
    • Income protection benefits: life insurance, Short- and long-term disability programs;
    • Leave programs to support personal circumstances;
    • Retirement Savings Plan includes employer contribution and employer match;
    • Paid time off, volunteer time off, 10 holidays and two flexible Well-Being days
    • Additional voluntary benefits available; and
    • A comprehensive wellness program


    Employee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ.

    To support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases.

    Annualized Salary Range: $80,800 - $131,300

    Typical Annualized Hiring Range: $80,800 - $101,000

    Final pay will be determined with consideration of market competitiveness, internal equity, and the job-related knowledge, skills, training, and experience you bring.

    We are an Equal Opportunity/Protected Veteran/Disabled Employer committed to creating a diverse, inclusive and equitable culture for our employees and communities.



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