Healthcare Analytics Data Analyst III – Insight to Impact

Fidelis Care - New Jersey; Town of Texas (WI); Hybride; USD 96 000 - 126 000; Plein temps

Avantages offerts par ce poste

Health insurance

401K and stock purchase plans

Tuition reimbursement

Paid time off + holidays

Flexible work schedules (remote/hybrid

Résumé du poste

Centene seeks a data analytics professional to analyze comprehensive datasets to influence business decisions and reduce cost of care for members. You will partner with stakeholders to deliver insights and automate processes where possible.

Requirements include a Bachelor’s degree and 4+ years of experience with large databases; SAS, SQL, Python, and Power BI familiarity are highly preferred. This role supports a mission to improve clinical outcomes and affordability.

Qualifications

• 4+ years of experience with large databases, data verification, and data management.
• Working knowledge of SQL/querying languages.
• Preferred knowledge of Python and R.
• Preferred knowledge of Power BI.
• Healthcare analytics experience preferred.

Responsabilités

• Interpret and analyze data from multiple sources and identify business impact.
• Develop, maintain, and troubleshoot scripts and reports using SQL, Excel, or other analytics tools.
• Plan and execute large-scale projects with limited direction from leadership.
• Design, test, and implement process enhancements and identify automation opportunities.
• Identify root-cause data irregularities and present findings and proposed solutions.

Connaissances

Analytical thinking

Communication

Problem solving

Formation

Bachelor's degree

Master's degree preferred

Outils

SAS

SQL

Python

R

Power BI

Description du poste

Centene seeks a data analytics professional to analyze comprehensive datasets to influence business decisions and reduce cost of care for members. You will partner with stakeholders to deliver insights and automate processes where possible.

Requirements include a Bachelor’s degree and 4+ years of experience with large databases; SAS, SQL, Python, and Power BI familiarity are highly preferred. This role supports a mission to improve clinical outcomes and affordability.