Senior Financial Analytics Professional - Medicare Risk Adjustment

Profile

Description

The Senior Financial Analytics Professional designs, builds and operates the tools which develop and deliver financial projections relating to Humana's Medicare business. The Senior Financial Analytics Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. They include opportunities to influence decisions on day-to-day operations, strategic planning and specific business performance issues.

Responsibilities

In this role you will:

Collaborate with internal data providers and data customers to translate business requirements and features into code

Critically analyze models to explain output variances in terms of changes to inputs or changes in methodology

Produce and deliver financial projections, gathering data from necessary sources

Prepare and present exhibits explaining or substantiating function of the underlying code

Automate and streamline existing projection processes

Make decisions on moderately complex to complex issues regarding technical approach for project components, exercise considerable latitude in determining objectives and approaches to assignments.

Required Qualifications

Bachelor's Degree

5 years technical experience

Experience writing database queries

Basic experience with Python or other high level programming language

Experience in compiling, modeling, interpreting and analyzing data in order to identify, explain, influence variances and trends, and to enhance modeling techniques

Experience working with moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors

Aptitude for problem solving and attention to detail

Preferred Qualifications

Master's Degree

Familiarity with Medicare Advantage payment model

Advanced experience with MS SQL or other dialect - developing stored procedures and relational data structures

Experience with Python and the associated data ecosystem (Pandas, Jupyter, etc)

Financial or actuarial background

Additional Information

Scheduled Weekly Hours

40

Company info

Humana Inc.
Website : http://www.humana.com