Healthcare Analytics Data Analyst III — Remote

Centene; United States; Hybrid; USD 70,000 - 126,000; Full time

Benefits offered by this job

Health insurance

401K and stock purchase plans

Tuition reimbursement

Paid time off + holidays

Flexible work arrangements (remote, in

Job summary

Centene is seeking a data analytics professional to analyze extensive datasets and extract value that informs business decisions. You will collaborate with stakeholders to identify value areas, develop solutions, and deliver insights aimed at reducing cost of care and improving clinical outcomes.

The role emphasizes strong SQL/Excel-based reporting, experience with SAS, Python, and AI, and the ability to manage large datasets across claims, provider, member, and encounters data.

Qualifications

• Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience.
• Master's degree preferred.
• 4+ years of experience with large databases, data verification, and data management or 2+ years of IT experience.

Responsibilities

• Analyze integrated datasets to extract value for business decisions.
• Collaborate with stakeholders to identify value areas and deliver insights to reduce cost of care and improve outcomes.
• Develop, maintain, and troubleshoot scripts and reports using SQL, Excel, or other analytics tools.
• Identify improvements to reduce regulatory reporting errors and provide targeted reporting for operational effectiveness.

Skills

SAS

Python

AI experience

Data analysis

Quantitative analysis

Data visualization

Education

Bachelor's degree in business/related field

Master's degree preferred

Tools

SQL

Microsoft Excel

Power BI

Job description

Centene is seeking a data analytics professional to analyze extensive datasets and extract value that informs business decisions. You will collaborate with stakeholders to identify value areas, develop solutions, and deliver insights aimed at reducing cost of care and improving clinical outcomes.

The role emphasizes strong SQL/Excel-based reporting, experience with SAS, Python, and AI, and the ability to manage large datasets across claims, provider, member, and encounters data.