Payor Analytics Lead

4 months ago


Indianapolis, United States Heartland Dental Full time

Position Summary:

Payor Analytics Lead, Payer Relations Department

Are you an experienced business data analytics expert? Are you a collaborative and strong team player? If so, we should talk Heartland Dental is growing to expand the dental payor support to more than 1,+ dental offices supported across 39 states, over 17, team members and over 2, supported doctors in our support, Heartland Dental has a proven track record of growth and success. We’re looking for professional individuals who are open, positive and mentally flexible to join our network of support.

We are looking for someone talented in performing advanced business and financial data analytics to support insurance fee negotiation and to maximize values for Heartland supported dentists.

 To give you an idea of the team structure, you will work in a team with other Payor Analytics Specialists, Payor Relationship Managers, and Payor Supporters, reporting to the Payor, Senior Manager.

Below is an overview of the duties and responsibilities you would take on in this role:

Provide business analytics for insurance network, fees, and contract negotiation Conduct benchmarks and competitive analysis of payer fee schedules across different payers Track & analyze external dental price trends at national and state levels Perform overall Payer revenue analysis on volume, price, share and growth trends, etc. Coordinate, conduct and document financial analysis projects and financial reporting, presenting results and recommendations to management Respond to requests for data analytics to supported offices/operations Translate business data into clear business focused deliverables for decision makers Define and recommend best practices for applying data and analytics solutions to resolve problems

Minimum Requirements:

Must reside within driving distance from: St. Louis, MO, Indianapolis, Indiana or Effingham, IL.

Bachelor’s degree in Math/Science/Engineering/Business or related field with 5 + years of heavy SQL or Python or master’s degree with 3+years practical work experience (outside of academics).

Independent critical thinking leading to the development of more effective approaches Communication Skills: highly skilled in written and verbal communication of complex ideas and analytic findings, including presentation materials High level of proficiency in SQL, Python, Power BI Attention to Detail: awareness of data integrity, vigilance in the quality and precision of analysis supporting high-quality conclusions Collaboration Skills: extensive experience in working with internal and external clients Ability to work well under pressure and prioritize multiple tasks History of automation and process improvement High level of maturity, personal initiative, and sound judgment Strong work ethic

Desirable Qualifications:

Healthcare, dental industry or insurance experience Familiarity with SAP Hana/SAC Proficiency with R for data manipulation and statistical analysis Expertise in data visualization Master’s Degree in Math/Statistics/Data Science/Data Engineering/Computer Science/Business Experience with statistical methods such as linear regression, time series, etc., and machine learning

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