AdventHealth · 4 hours ago

Health Plan Data Analyst

Altamonte Springs, FL

Full-time

Remote

Mid Level

4+ years exp

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Responsibilities

The Health Plan Data Analyst is responsible for data analytic strategies focused on lowering the cost of healthcare for our managed populations by providing actionable data to the Population Health team.

The Health Plan Data Analyst engages clients (finance team, senior leaders, leaders, health plans, providers) in reviewing financial performance while also providing next-level analyses to ensure resources are being spent to close the most critical gaps in lowering the cost of care.

The Analyst uses healthcare data (claims, labs, EHR data) analytics to gain insights into provider ordering, member adherence, operational effectiveness, and client-specific metric gaps.

The Analyst will be a key part of the Population Health Analytics team and will partner with business and operational owners to identify and execute cost saving opportunities and return on investment analyses.

Actively participates in outstanding customer service and accepts responsibility in maintaining relationships that are equally respectful to all.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data analyticsHealthcare data analysisStatistical software applicationsFinancial modelingMicrosoft AccessMicrosoft ExcelMicrosoft PowerPointMicrosoft WordSQLHealthcare accounting knowledgeClient relationship management

Required

Bachelor’s degree in Finance, Economics, Mathematics, Accounting, Statistics or related field and four years of analytic experience

Experience working with analyses within a Health Plan / Payor organization for at least two years

Technical experience in utilizing analytical software tools and applications

Health Plan claims data knowledge

Knowledge of common analytical methods such as profiling customer segments, data modeling, and concepts of regression analysis

Intermediate level of proficiency in performing data analytics; ability to effectively apply analytical and quantitative skills to solving problems

Ability to use knowledge and understanding of data, data systems, and statistical software applications, clinical and other information generated by numerous sources to identify opportunities to improve clinical and financial program performance

Working knowledge of healthcare or insurance accounting methods and reporting, standards development, utilization measurements, risk segmentation, and financial modeling

Ability to conduct oneself professionally, maintain confidence, confidentiality and objectivity

Ability to relate operational and financial performance in the healthcare environment

Ability to learn quickly and work with minimal supervision

Ability to efficiently manage multiple work streams, clients and analyses

Proficiency with Microsoft Access, Excel, Power Point and Word

Proficiency with Microsoft or Vertica SQL

Effective oral and written communication skills, with the ability to articulate complex information in understandable terms to all levels of staff