Description and Requirements
Duties and Responsibilities:
- Analyze complex healthcare datasets to identify trends, anomalies, control gaps, and potential compliance or operational risks.
- Support Internal Audit, Compliance, and Claims Configuration Audit activities through data analysis, audit testing, monitoring, and reporting.
- Develop advanced SQL, SAS, or other analytical queries to extract, validate, and analyze data from multiple sources.
- Evaluate data quality and standardize data structures to support consistent reporting and analysis.
- Create and maintain dashboards, scorecards, reports, and monitoring tools that provide actionable insights to leadership and business stakeholders.
- Summarize findings, methodologies, and recommendations for technical and non-technical audiences.
- Assist in the validation of claims configuration changes, business rules, and operational controls.
- Document analytical processes, data issues, methodologies, and business requirements.
- Collaborate with Internal Audit, Compliance, Claims Operations, Configuration, IT, and other business partners.
- Demonstrate intellectual curiosity and identify opportunities for process, control, and reporting improvements.
- Additional duties as assigned.
Minimum Qualifications:
- Bachelor’s degree from an accredited institution or equivalent work experience
- 3+ years of equivalent experience
- Proficiency in scripting and programming skills
- Experience using MS Office suite, including Microsoft Access, Excel, and Word
- Expertise in utilizing data analysis and query tools such as SQL
- Experience with Alteryx, Tableau, Amazon Redshift, or other similar tools/platforms
- Experience with applied statistics skills, such as distributions, statistical testing, regression, etc.
- Ability to successfully run queries from a data warehouse
- Expertise innovating and implementing audit techniques
- Excellent communication skills
- Excellent time management and the ability to prioritize work and complete assignments within their allotted deadline
- Experience working with and communicating technical information to multiple levels of technical and non-technical staff in written and verbal form
- Experience prioritizing a heavy workload in a fast-paced environment
Preferred Qualifications:
- Master’s degree from an accredited institution
- Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar concentration
- Experience with analytical programming techniques such as Python and R
- Experience with AWS and analytical solutions available on the platform (Redshift, Glue, Sage Maker, etc.)
- Familiarity with programming in JavaScript, D3.js
- Familiarity with big data technologies, such as Hadoop, MapReduce, and AWS Kinesis
- Demonstrated ability to develop innovative solutions to complex problems, leveraging advanced problem-solving skills and sound judgment to make critical, independent decisions within area of responsibility
- Knowledge of modern machine learning algorithms (clustering, classification and regression), statistical methods and optimization
- Knowledge of health care industry, systems, business strategies and products
Hiring Range*:
Greater New York City Area (NY, NJ, CT residents): $83,100 - $120,360
All Other Locations (within approved locations): $73,400 - $109,225
As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, licenses and certifications, and any other factors Healthfirst deems pertinent to the hiring decision.
In addition to your salary, Healthfirst offers employees a full range of benefits such as, medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions (all benefits are subject to eligibility requirements). Healthfirst believes in providing a competitive compensation and benefits package wherever its employees work and live.
*The hiring range is defined as the lowest and highest salaries that Healthfirst in “good faith” would pay to a new hire, or for a job promotion, or transfer into this role.