Data Analyst III Healthcare Analytics, SQL
About The Position
Analyze integrated, extensive healthcare datasets to extract value and influence business decisions. Work collaboratively with business stakeholders to identify opportunities, develop solutions, and deliver insights that reduce the overall cost of care for members and improve clinical outcomes. This role interprets data from claims, provider, member, and encounter sources; develops and maintains SQL-based scripts and reports; and communicates data-driven findings and recommendations to internal and external stakeholders. The position is available remotely nationwide and requires authorization to work in the U.S. without current or future employment-based visa sponsorship.
Requirements
- Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or a related field, or equivalent experience.
- At least 4 years of experience working with large databases, data verification, and data management, or at least 2 years of IT experience.
- Working knowledge of SQL or querying languages.
- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
Nice To Haves
- Master’s degree.
- Healthcare analytics experience.
- 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.
- Knowledge of modern business intelligence and visualization tools, including Microsoft Power BI.
Responsibilities
- Interpret and analyze data from multiple sources, including claims, provider, member, and encounter data, and assess the business impact of trends.
- Develop, maintain, and troubleshoot complex scripts and reports using SQL, Microsoft Excel, or other analytics tools.
- Contribute to planning and executing large-scale projects with limited direction from leadership.
- Assist in designing, testing, and implementing process enhancements, and identify opportunities for automation.
- Identify data irregularities, perform root-cause analysis, and present findings and proposed solutions to leadership and/or customers.
- Manage multiple tasks and data review processes with limited supervision, meeting targeted timelines in a demanding, rapidly changing environment.
- Take ownership of projects and ask questions to understand the business value of assigned work.
- Apply quantitative analysis, data mining, and data presentation expertise to understand how customers interact with analytic products.
- Partner across organizational levels and communicate findings and insights verbally and visually to non-technical business partners.
- Engage independently with customers and business partners to gather requirements and validate results.
- Present data-driven insights and recommendations to internal and external stakeholders, soliciting and incorporating feedback when required.
- Provide technical guidance to junior analysts.
Benefits
- Competitive pay
- Health insurance
- 401(k) plan
- Stock purchase plan
- Tuition reimbursement
- Paid time off
- Paid holidays
- Flexible approach to work with remote, hybrid, field, or office work schedules
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
