Transcarent is hiring a

Senior Analyst

Job Overview

  • Posted 3 days ago
  • Full Time
  • USA
  • 95000

Roles & Responsibilities

The Transcarent Data Analytics team empowers the company to make data-driven decisions and provides critical business insights that help us execute in a world-class fashion. We are seeking a talented and motivated technical expert to accelerate our efforts to drive trust, adoption, and democratization of insights externally to our clients and members as well as internally to our stakeholders and leaders.    

The Senior Analyst will work closely with our Solutions, Provider Relations, Sales, and Finance Teams to generate and maintain surgery benchmarks, assist Sales in conducting savings analysis, and assist on conducting economic evaluation studies and case studies. 

A successful candidate will be a collaborative partner, intellectually curious about novel use cases for healthcare data, knowledgeable on scaling reporting solutions, passionate about evangelizing their strong technical foundations through process and mentorship, and influential in key decisions. You will have a meaningful role with high visibility across the company and the opportunity to shape the future of the company’s analytical KPIs as reporting value to clients.   

What you’ll do 

  1. Master our varied types of data from healthcare claims data, digital engagement data, third party point solution member utilization data, operational data, healthcare provider quality data, market benchmarking data, social determinants of health data, and any other interesting data we can acquire!    
  2. Collect information on the needs and desired outcome of a project including identifying cross functional stakeholders, clarifying deadlines, and understanding the larger goal and business need for the project.  
  3. Lead project management of all Analytics and Reporting projects in flight. 
  4. Understand how to identify, acquire, and utilize data sources to answer specific business questions related to clinical/health outcomes, SDoH, provider quality, and plan sponsor medical expenditure sensitivities.  
  5. Support data fluency throughout the organization through standardized measurement techniques, compelling business insights, proactively sharing your knowledge of the data with others by means authentic to you and developing and maintaining data documentation for your work and underlying data sources.   
  6. Work closely with our business intelligence and reporting deliverables and teams. Design and implement analytics solutions and definitions that offer self-service capabilities and enable consistency & scalability with cross-functional teams.  
  7. Present your business measurements and findings to key leaders and stakeholders including external stakeholders like clients and their consultants.  

Skills Required

  • Machine Learning
  • Python

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