Sr Data Analyst, Healthcare Claims Audit and Compliance
Senior
Alteryx
Amazon Web Services
Analytics
AWS
Aws Glue
Aws Sagemaker
Business Analytics
Claims Analytics
Cloud Computing
Cloud Data Warehouse
Data Analysis
Data Analytics
Data Compliance
Data Visualization
Data Warehouse
Healthcare Analytics
Healthcare Compliance
Reporting and Analytics
SAS
SQL
Tableau
Job Description
Support healthcare claims audit and compliance initiatives by turning claims and configuration data into risk insights, monitoring, and reporting.
Responsibilities
- Analyze complex healthcare datasets to surface trends, anomalies, control gaps, and possible compliance or operational risks
- Back Internal Audit, Compliance, and Claims Configuration Audit activities using data analysis, audit testing, monitoring, and reporting
- Build advanced analytical queries in SQL, SAS, or other tools to extract, validate, and analyze data from multiple sources
- Assess data quality and standardize data structures to enable consistent reporting and analysis
- Create and maintain dashboards, scorecards, reports, and monitoring tools with actionable insights for leadership and business stakeholders
- Communicate findings, methods, and recommendations to both technical and non-technical audiences
- Assist in validating 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
- Identify opportunities to improve processes, controls, and reporting through intellectual curiosity
- Perform additional duties as assigned
Requirements
- Bachelor’s degree from an accredited institution or equivalent work experience
- 3+ years of equivalent experience
- Proficiency in scripting and programming
- Experience with MS Office suite, including Microsoft Access, Excel, and Word
- Expertise using data analysis and query tools such as SQL
- Experience with Alteryx, Tableau, Amazon Redshift, or similar analytics tools/platforms
- Applied statistics skills including distributions, statistical testing, regression, and related methods
- Ability to successfully run queries from a data warehouse
- Expertise innovating and implementing audit techniques
- Excellent communication skills
- Strong time management to prioritize work and complete assignments by deadlines
- Experience communicating technical information in written and verbal formats to multiple levels of technical and non-technical staff
- Experience managing a heavy workload in a fast-paced environment
Technologies
- SQL, SAS
- MS Office suite, Microsoft Access, Excel, Word
- Alteryx, Tableau, Amazon Redshift, Python, R
- AWS: AWS, Glue, Sage Maker
- JavaScript, D3.js
- Hadoop, MapReduce
- AWS Kinesis
Benefits
- Medical, dental, and vision coverage
- Incentive and recognition programs
- Life insurance
- 401k contributions (all benefits are subject to eligibility requirements)
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 and D3.js
- Familiarity with big data technologies such as Hadoop, MapReduce, and AWS Kinesis
- Demonstrated ability to develop innovative solutions to complex problems using advanced problem-solving skills and sound judgment
- Knowledge of modern machine learning algorithms (clustering, classification and regression), statistical methods, and optimization
- Knowledge of healthcare industry systems, business strategies, and products
Compensation
- Greater New York City Area (NY, NJ, CT residents): USD 83,100 - 120,360 per year
- All other locations (within approved locations): USD 73,400 - 109,225 per year
Location: New York, NY (hybrid)
Minimum experience: 3 years