via DailyRemote
$120K - 150K a year
Analyze large datasets, develop insights, and support process improvements to enhance healthcare outcomes.
Requires 2+ years of experience with large databases, healthcare analytics, and skills in SQL, Python, or R, along with knowledge of data mining and visualization tools.
Job Description: • Analyze integrated and extensive datasets to extract value. • Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes. • Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data. • Support execution of large-scale projects with limited direction from leadership. • Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers. • Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines. • Support the design, testing, and implementation of process enhancements and identify opportunities for automation. • Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers. • Support multiple functions and levels of the organization and effectively communicate findings to non-technical business partners. • Independently engage with customers and business partners to gather requirements and validate results. • Communicate and present data-driven insights and recommendations to stakeholders, soliciting and incorporating feedback when required. Requirements: • Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. • 2+ years of experience working with large databases, data verification, and data management. • Healthcare analytics experience preferred. • Working knowledge of SQL/query languages. • Preferred knowledge of programmatic coding languages such as Python and R. • Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. • Preferred knowledge of modern business intelligence and visualization tools. • Experience with clinical audits and automating processes highly preferred. Benefits: • competitive pay • health insurance • 401K and stock purchase plans • tuition reimbursement • paid time off plus holidays • flexible approach to work
This job posting was last updated on 1/27/2026