Summary:  The Transcarent Health Economics, Analytics and Data Science Organization empowers the company and market 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 design and execute analyses articulating our value in the market.  The Health Analytics Lead will be a part of the Health Economics Team and work closely with Client Reporting, Data Science, Sales, Client Success, and Finance. You will empower prospective clients and their consultants with real-world data analytics and insights to understand Transcarent’s impact for self-funded employers and their members. A successful candidate will be a collaborative partner, passionate about changing US healthcare market dynamics, intellectually curious about novel use cases for healthcare data, and an expert on healthcare cost and utilization data and analytics. You will have a meaningful role with high visibility with leaders across the healthcare industry and the opportunity to shape the future of the company’s value proposition message.

Essential Duties and Responsibilities include the following. Other duties may be assigned. 

• Use data from our Clients and third party datasets to power savings estimates for our prospective Clients and quantify the value delivered by each of Transcarent’s health and care solutions. 
• Collaborate with Strategy and Innovation, Analytics, Data Science, and Sales on how to quantify value for our continued release of new, innovative clinical solutions. 
• Use third party Claims datasets to update and improve our existing Excel-based Prospective savings model and assist the Health Economic team in creating a Client-specific data-driven self-service tool. 
• Continually learn about the company and product priorities by partnering closely with leadership and business stakeholders to embrace a culture of measurement and hypothesis-driven innovation; help stakeholders identify analytical solutions to prospective client questions.
• 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.

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Expertise with healthcare data including claims, eligibility, utilization, and cost data
• Basic programming skills in SQL
• Advanced MS Excel skills
• Stakeholder management, sometimes with competing priorities
• Ability to autonomously design scalable reporting solutions with input from the Commercial Org and leadership in the organization 
• Ability to know when & how to balance the tradeoff between perfect solutions and ‘good enough’ solutions
• Ability and willingness to learn/develop new data source identification/acquisition, data collection and ETL techniques and data analysis tools as needed 
• Intrinsic interest in continuous learning and teaching colleagues

Nice to Have: 

• Experience with visualization tools such as PowerBI, Looker, or Tableau 
• Experience with data warehouses like Snowflake
• Experience with healthcare actuarial concepts
• Experience in a Health Tech start up environment
• Passion for understanding the incentives of healthcare plan members, the self-funded insurer experience, and optimizing for both 
• Comfort presenting your findings and willingness to share your time and skills to better those around you 
• Ability to develop and execute statistical, data science, and econometric models in an advanced analytical language such as Python, R, Stata, or Matlab is preferred. 
  

Education/Experience:

• One or more degrees in data science, analytics, economics, business, engineering, computer science, statistics, mathematics, or other quantitative fields
• 3-5 years of work experience in various analytical roles (such as healthcare consulting, business intelligence, actuarial analyses etc.)
• 2+ years’ experience with presentation of analytics to senior leaders
• 3+ years’ experience in complex analysis development and stakeholder management 

Total Rewards

As a remote position, the salary range for this role is $100,000 - $120,000.