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Florida Blue's Enterprise Operational Analytics team enables data-driven decisions by transforming raw data into actionable insights. The Data Analyst V conducts statistical analyses, builds KPIs, and delivers dashboards driving high-value outcomes for Enterprise Operations.
S/He collaborates with internal customers and IT to prototype and operationalize solutions. The role requires advanced SQL, SAS, R or Python skills, plus mentoring and clear communication to present findings to business
Job Summary: The Enterprise Operational Analytics team resides within the Florida Blue's Enterprise Operations (EO). Enterprise Operational Intelligence Analytics team members provide analytical and operational support to the core processes of EO; 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.
Essential Functions:
Required Experience: 4+ years related work experience. Experience Details: Related Bachelor's degree or additional related equivalent work experience Strong analytical and critical thinking skills. Bachelor's degree required; Master's degree preferred. 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.
Preferred Qualifications: Applied experience with predictive or statistical modeling techniques (regression, classification, forecasting) in a business setting.
Experience with a visual analytics tool such as Tableau or Microsoft PowerBI.
Exposure to machine learning concepts or techniques, even in an academic, coursework, or early-career capacity.
Interest in growing into more advanced modeling and predictive analytics work as part of long-term role development.
Bachelor's degree in Business Analytics, Health Economics, Statistics, Engineering, Mathematics, Computer Science, Data Science or related field. Master's degree in a related field.
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 be at the heart of GuideWell's vision - to lead the nation in transforming health through compassionate, connected, and technology-enabled care that delivers personalized value and empowered living. To support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to:
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: $84,500 - $137,300
Typical Annualized Hiring Range: $84,500 - $105,600
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 Employment Opportunity employer committed to cultivating a work experience where everyone feels like they belong and can perform at their best in pursuit of our mission. All qualified applicants will receive consideration for employment.
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