
Data Analyst III – Healthcare Analytics
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in North Carolina.
• Analyze comprehensive and integrated datasets to derive insights that influence business decisions.
• Collaborate with essential business stakeholders to pinpoint areas of value, create solutions, and provide insights aimed at lowering overall care costs and enhancing clinical outcomes.
• Oversee provider data management and enhance data quality.
• Deliver targeted data to minimize claims rejections and denials.
• Identify enhancements to decrease regulatory reporting errors during submissions to the State.
• Offer focused reporting to ensure operational effectiveness and monitoring.
• Interpret and analyze claims, provider, member, and encounter data.
• Recognize and evaluate the business impact of various trends.
• Develop, maintain, and troubleshoot intricate scripts and reports utilizing SQL, Microsoft Excel, or other analytical tools.
• Contribute to the planning and execution of large-scale projects with minimal guidance from leadership.
• Assist in designing, testing, and implementing process improvements.
• Identify automation opportunities.
• Conduct root-cause analysis of data discrepancies and present findings and recommendations to leadership and/or customers.
• Manage multiple variable tasks and data review processes within specified timelines.
• Apply quantitative analysis, data mining, and data presentation skills to comprehend customer interactions with analytical products.
• Collaborate cross-functionally at all organizational levels.
• Communicate and present data-driven insights and recommendations to both internal and external stakeholders.
• Independently engage with customers and business partners to gather requirements and validate results.
• Provide technical mentorship to junior analysts.
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
• Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or a related field, or equivalent experience.
• 4+ years of experience with large databases, data verification, and data management, or 2+ years of IT experience.
• Proficient in SQL/querying languages.
• Preferred knowledge of programming languages such as Python and R.
• Preferred familiarity with statistical, analytical, or data mining techniques, including basic data modeling, trend analysis, and root-cause analysis.
• Preferred knowledge of contemporary business intelligence and visualization tools, including Microsoft PowerBI.
• Experience in healthcare analytics is preferred.
• Proficiency in SAS, Python, and AI is preferred.
• Experience in managing provider data and enhancing data quality is preferred.
• Ability to deliver targeted data that reduces claims rejections and denials.
• Capability to identify enhancements to minimize regulatory reporting errors during State submissions.
• Proficient in interpreting and analyzing data from claims, provider, member, and encounter sources.
• Ability to create, maintain, and troubleshoot complex scripts and reports using SQL, Microsoft Excel, or other analytical tools.
• Capability to contribute to large-scale projects with minimal direction from leadership.
• Ability to perform root-cause analysis of data inconsistencies and present findings and proposed solutions.
• Proficient in managing multiple variable tasks and data review processes with limited supervision.
• Skilled in applying quantitative analysis, data mining, and data presentation expertise.
• Ability to effectively communicate findings and insights to non-technical business partners both verbally and visually.
• Ability to independently engage with customers and business partners to gather requirements and validate outcomes.
• Capability to provide technical guidance to junior analysts.
• Competitive salary.
• Health insurance coverage.
• 401K retirement plan.
• Stock purchase options.
• Tuition reimbursement programs.
• Paid time off in addition to holidays.
• Flexible work arrangements including remote, hybrid, field, or office schedules.
• Additional incentives may be included in total compensation.
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