Senior Business Analyst - Statistics

Epathusa-2; Clive (IA); On-site; USD 65,000 - 90,000; Full time

Job summary

Epathusa-2 in the United States is seeking a data analyst to integrate datasets tracking healthcare billing and payments and to support medical reviews and related operations.

You will construct summaries and analyses for monitoring healthcare payments, contribute statistical expertise to research questions on federal policies, and collaborate with a multidisciplinary team on project-based work.

Qualifications

• Bachelor's degree in statistics, economics, epidemiology, or related analytical field.
• 2+ years in data analysis or statistics; or master's in statistics.
• Proficiency in statistical theory related to sampling, estimation, and hypothesis testing.
• Proficiency in Excel.
• Programming in Python, R, SAS, or STATA.

Responsibilities

• Integrate datasets tracking healthcare billing and payment, medical reviews, and related operations.
• Construct summaries and analyses for monitoring healthcare payments and evaluating medical review activities.
• Contribute statistical expertise to research questions related to federal healthcare policies and payments.
• Collaborate with a multi-skilled team of analysts and policy experts on project-based work.

Skills

Data analysis

Statistical theory

Excel

Python/R/SAS

Education

Bachelor's degree in statistics/analytical field

Master's degree in statistics

Tools

Python

R

SAS

SQL

Job description

Responsibilities:Integrate datasets tracking healthcare billing and payment, medical reviews, and related operationsConstruct summaries and analyses for monitoring healthcare payments and evaluating medical review activitiesContribute statistical expertise to research questions related to federal healthcare policies and paymentsCollaborate with a multi-skilled team of analysts and policy experts on project-based workRequired Qualifications:Bachelor's degree or higher in an analytical field, such as statistics, mathematics, economics, or epidemiology, or similar academic experience2+ years in data analysis or statistics, or master's degree in statistics or a related fieldProficiency in statistical theory related to statistical sampling, estimation, and hypothesis testingProficiency in ExcelProficiency in programming for data analysis in a language such as Python, R, SAS, or STATAPreferred Qualifications:2+ years in data analysis related to MedicareExperience applying statistical sampling, estimation, and hypothesis testing (academic research projects considered)Data analysis proficiency in PythonQuerying proficiency in SQLOther Requirements:Eligibility for federal background checks, including residence in the United States for at least 3 years out of the past 5 years