Data Analyst III Healthcare Analytics

Fidelis Care - New Jersey; North Carolina; Hybrid; USD 70,000 - 126,000; Full time

Benefits offered by this job

Health insurance

401K with company match

Stock purchase plans

Tuition reimbursement

Paid time off + holidays

Remote/Hybrid/Field/Office options

Job summary

Centene is seeking a data analytics professional to analyze integrated datasets, interpret trends, and deliver insights that drive cost of care reductions and improved clinical outcomes. The role requires collaboration with stakeholders, development of scripts/reports, and leadership in data-driven initiatives.

Strong SQL skills and preferred Python/R experience are essential, with a Bachelor’s degree and 4+ years in data analytics within healthcare.

Qualifications

• Bachelor’s degree in a related field; Master’s degree preferred.
• 4+ years of experience with large databases, data verification, and data management.
• Experience in healthcare analytics preferred.
• Working knowledge of SQL and querying languages; Python and R are a plus.

Responsibilities

• Interpret and analyze data from multiple sources including claims, provider, member, and encounters data.
• Develop, maintain, and troubleshoot complex scripts and reports using SQL, Excel, or other analytics tools.
• Contribute to planning and execution of large-scale projects with limited direction.
• Assist in design, testing, and implementation of process enhancements and automation opportunities.
• Identify and perform root-cause analysis of data irregularities and present findings to leadership.

Skills

SQL querying

Python

R

Data mining

Statistics

Data visualization

Education

Bachelor's degree

Master’s degree preferred

Tools

Power BI

Job description

Position Purpose: Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions. Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes.

Key Details: Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

Experience Using SAS Is Highly Preferred.

• Interpret and analyze data from multiple sources including claims, provider, member, and encounters data. Identify and assess the business impact of trends.
• Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools.
• Contribute to the planning and execution of large-scale projects with limited direction from leadership.
• Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation.
• Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers.
• Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment.
• Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks.
• Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products.
• Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights 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 both internal and external stakeholders, soliciting and incorporating feedback when required.
• Provide technical guidance to junior analysts.

Education/Experience: 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 working with large databases, data verification, and data management experience. Healthcare analytics experience preferred. Working knowledge of SQL/querying languages. Preferred 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 preferred. Preferred knowledge of modern business intelligence and visualization tools including Microsoft Power BI.

By applying to this requisition, you acknowledge and understand that you may be considered for other job opportunities for which Centene believes you may be qualified.

Pay Range: $70,100.00 - $126,200.00 per year

At Centene, we connect people to the care they need to live healthier lives — and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday.

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.

Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act