Data Analyst III (Healthcare Analytics)

Centene Corporation•Remote-NC, NC

1d•$70,100 - $126,200

About The Position

Analyze integrated and extensive datasets to extract value and influence business decisions. Collaborate with key business stakeholders to identify areas of value, develop solutions, and deliver insights that reduce the overall cost of care for members and improve clinical outcomes. The role includes managing provider data and improving data quality; providing targeted data and reporting for claims, regulatory submissions, and operational monitoring; and interpreting data from claims, provider, member, and encounter sources to assess business impacts. The analyst also contributes to large-scale projects, process enhancements, automation, and root-cause analysis, and communicates recommendations to internal and external stakeholders. The position provides technical guidance to junior analysts and requires independent engagement with customers and business partners to gather requirements and validate results. Candidates must be authorized to work in the United States without current or future employment-based visa sponsorship. Centene describes a comprehensive benefits package and flexible work arrangements that may include remote, hybrid, field, or office schedules. Actual pay depends on skills, experience, education, and other job-related factors.

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 current or future employment-based visa sponsorship.
Ability to manage multiple tasks and data-review processes with limited supervision and meet targeted timelines.
Ability to communicate analytical findings and insights to non-technical business partners and stakeholders.

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.
SAS, Python, and AI experience.

Responsibilities

Manage provider data and increase data quality.
Provide targeted data to reduce claims rejections and denials.
Identify improvements to reduce regulatory reporting errors in submissions to states.
Provide targeted reporting for operational effectiveness and monitoring.
Interpret and analyze data from claims, provider, member, and encounter sources, identifying trends and assessing their business impact.
Develop, maintain, and troubleshoot complex scripts and reports using SQL, Microsoft Excel, or other analytics tools.
Contribute to planning and execution of 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, variable tasks and data-review processes within targeted timelines and with limited supervision.
Take ownership of projects and ask probing questions to understand the business value of tasks.
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.
Independently engage with customers and business partners to gather requirements and validate results.
Communicate and present data-driven insights and recommendations to internal and external stakeholders, soliciting and incorporating feedback when required.
Provide technical guidance to junior analysts.