Milliman Healthcare Product Analyst in New York, New York
Do you have the analytic skills to find insight in a pile of healthcare data? Do you thrive in a fast-paced environment? Milliman's NYC Health Practice is seeking professionals from a variety of analytic and clinical backgrounds to join our vibrant staff. We offer challenging projects, world-class resources, expert colleagues, a collaborative environment, and diverse client projects. Work, learn, and grow with us.
Milliman's NYC Health Practice develops and maintains multiple products that support healthcare entities that are participating in value-based payment arrangements such as accountable care organizations (ACOs) or bundled payments. These products are built off of healthcare claims data and are intended to translate this data into actionable insights for our customers. We are looking for analysts with strong critical thinking and technical skills to contribute to the development and maintenance of our products. Our product analysts will work to transform raw claims data into interactive, user-directed dashboards using various programming languages and business intelligence tools. This role is the ideal opportunity for someone with a desire to improve their technical and data literacy skills while gaining valuable experience in the field of healthcare.
Milliman is the world's premier actuarial consulting firm with over 4,000 employees and $1 billion in revenue. We attribute our 70+ years of continuous growth to our environment where independent and talented individuals succeed as outstanding professionals. We have a collegial, rigorous, supportive and non-bureaucratic environment.
We seek energetic and imaginative professionals to join our product team at our Penn Station, New York City location. Successful candidates will have the potential to become leaders and recognized experts in the field.
Below is a brief overview of the products for which we are currently seeking product analysts:
Bundled Payment Reporting Interfaces: Interactive data visualization tools that allow providers who are participating in CMS bundled payment models to understand the costs and utilization of participating episodes of care. (More information here: )
ACO Insight: Interactive reporting interface that provides claims data insights to identify opportunities for efficiently managing the cost and quality of care provided to Medicare, Medicaid and commercial ACO populations. (More information here: )
Conduct hands-on data analytics, such as coding of patient identification algorithms and cost and utilization outcomes (e.g., readmission measures, quality measures). Produce code that is logically organized and well-documented.
Learn and apply innovative techniques to large claims datasets to analyze a wide array of healthcare-related topics
Create and execute claims processing procedures that are organized and time- and resource-efficient
Derive insights from data and clearly articulate these insights to team members verbally and/or through exhibits
Create and prepare neat and error-free exhibits and reports summarizing findings for client delivery
Work in collaboration with analysts, consultants, and actuaries to produce deliverables for clients in a timely manner
Bachelor's or Master's degree, preferably in a quantitative field (e.g. math, statistics, informatics)
At least two years of experience analyzing medical insurance claims with SAS, SQL, R, or Python
Experience with or interest in data visualization tools (e.g. Tableau, QlikView, PowerBI)
Understanding of medical coding systems (CPT, ICD-10, DRG, etc.)
Experience or knowledge of the healthcare industry and payer systems
Exceptional problem solving and analytical skills, with a knack for finding and investigating trends and patterns in data
Strong attention to detail and the ability to be precise and clear when describing technical material
Strong oral and written communication skills
Strong organizational skills
Ability to work both independently and as part of a team
New York City location; this job requires working with colleagues in our office
Experience conducting analyses using IBM MarketScan and/or Medicare (or similar) administrative claims databases
Advanced skills in SAS (macros, PROC SQL)
Experience with issue / project tracking software (e.g. JIRA)
Experience working in a software development environment
2 years: Experience using SAS, SQL, Python, or R in a professional capacity. (required)
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
Milliman is an equal opportunity employer
Our company, with the full support of our Chief Executive Officer, is fully committed to the maximum utilization of all human resources and the goals of Equal Employment Opportunity and Affirmative Action. We recruit, hire, train, and promote, and consider qualified applicants for employment, in all job titles without regard to age, ancestry, citizenship status, color, creed, familial status, genetic information, marital status, national origin, political ideology, race, religion, sex, sexual orientation, gender identity, status as an individual with a disability, or veteran status, including qualified disabled veterans, Armed Forces service medal veterans, recently separated veterans, and active duty wartime or campaign badge veterans; and shall not discriminate against any individual, or any other characteristic protected by law.
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