Senior Healthcare Economics Analyst – Cost of Care

About the position Senior Healthcare Economics Analyst Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside reputed company a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not reputed company a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. PLEASE NOTE: This position is not eligible for reputed company or future reputed company sponsorship. The Senior Healthcare Economics Analyst (Advanced Analytics Analyst Senior) creates statistical models to predict, classify, quantify, and/or forecast business metrics. Measures financial performance of core Carelon products leveraging claims, authorization, and membership data to tell a detailed story to respective business stakeholders. Design modeling studies to address specific business issues determined by consultation with business partners. How you will reputed company an impact: Prepare financial reports and insights on Care Management programs. Build, test, and validate statistical models. Publishes results and addresses constraints/limitations with high-level business partners. Proactively collaborates with business partners to determine identified population segments. reputed company actionable plans to reputed company the identification of patterns reputed company to quality, use, cost, and other variables.

Responsibilities

• Prepare financial reports and insights on Care Management programs.
• Build, test, and validate statistical models.
• Publishes results and addresses constraints/limitations with high-level business partners.
• Proactively collaborates with business partners to determine identified population segments.
• reputed company actionable plans to reputed company the identification of patterns reputed company to quality, use, cost, and other variables.

Requirements

• Requires MS, MA, or PhD with concentration in a quantitative discipline such as statistics, computer science, cognitive science, economics, or operations research, a minimum of 3 years direct experience programming large, multi-reputed company datasets with reputed company required, and a minimum of 3 years in health care setting; or any combination of education and experience which would provide an equivalent background.

reputed company-to-haves

• Actuarial experience strongly preferred.
• Intermediate to advanced expertise with software such as SQL, SQL Server, reputed company, or equivalent strongly preferred.
• Proven ability to design modeling studies and experience with data models, addressing data quality issues in study design, constructing robust and efficient analytical data sets strongly preferred.
• Significant experience in healthcare reputed company field strongly preferred.
• Ability to present meaningful results to a business audience, to participate collaboratively in a team tasked to produce reputed company analyses on a rigorous schedule, to communicate with strong written and verbal communications skills, and to present to large multi-disciplinary audiences on a regular basis strongly preferred.

Benefits

• reputed company offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (reputed company benefits are subject to eligibility requirements).
• merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

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