Operations Data Analyst- Healthcare Insurance Claims

Join our dynamic Operations and Analytics team where you will be at the forefront of data analysis, visualization, and innovation for our Long Term Care Insurance business, ERAC (Employed Retailers Association), Employers Reassurance Corporation, and a corporate holding of GE Aerospace. We are a reinsurance company supporting long‑term care insurance, structured settlements and life insurance products. Our multi‑year journey to become a more data‑driven organization seeks a passionate individual who can leverage data to drive positive change.

In this role you will lead the development of analytical and data‑science capabilities by using expanding health data, translating findings into actionable insights for decision makers, sourcing data from external partners, working within our robust data platform, and collaborating with a predictive‑modeling team. You will foster creative analysis to enhance reporting, deepen understanding of key business drivers, and support informed decision making across the organization.

The position can be hybrid or remote within the United States.

• Combining, cleansing, and managing data from various sources
• Identifying trends and patterns in complex datasets, including exploratory data analysis (EDA)
• Building and creating efficiencies using statistical, database and/or general program languages and tools to meet specific business needs
• Producing dashboards, including graphs, tables, and other visualizations
• Developing in-depth knowledge of insurance operations and programs to better understand the business needs and drivers and to help make recommendations
• Carrying out statistical research, prototyping new systems, and finding new ways of gathering, cleaning, and analyzing data
• Consulting with internal teams to determine their business needs, and to find solutions for them
• Actively working to identify improvements to internal & external processes, including automation
• Summarizing and presenting data analysis results for management, including creating presentation decks using PowerPoint (or similar)

• Bachelor's degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, Data Science or equivalent combination of education and experience in related fields
• Insurance industry Experience with claims data
• GE Aerospace will NOT sponsor individuals for employment visas, now or in the future, for this job opening
• Proficiency in tools and languages such as Power BI, Tableau, SQL, Excel, and Python or R
• Experience with relational databases and data analysis techniques
• Minimum of 3 years' experience in data analyst role in Healthcare

• Ability to be self-driven and work on multiple projects with strong organizational skills
• Strong oral and written communication skills and ability to work cross functionally
• Demonstrated ability to analyze and resolve problems
• Understanding of advanced analytics or machine learning
• A deep interest in problem-solving, and exceptional attention to detail
• Familiarity with medical and pharmacy insurance claims data, including common coding systems such as ICD 10, CPT/HCPCS, and NDC
• Experience with Azure MLOps or other Data Science Platforms
• Hypothesis testing and evaluating clinical program effectiveness

The base pay range for this position is $76,400 – 115,300 USD per year. The specific compensation may be influenced by experience, education and skill set. You may also be eligible for an annual discretionary bonus.

This role includes comprehensive benefits such as medical, dental, vision, and prescription drug coverage; access to a Health Coach; an Employee Assistance Program; retirement benefits including a 401(k) plan with company matching and retirement contributions; tuition assistance; adoption assistance; paid parental leave; disability and life insurance; and paid time off. Benefits are subject to plan terms and may change.

Relocation assistance is not provided. This is a remote position, and the role may also be hybrid.

GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status, or other protected characteristics.

Only individuals legally authorized to work in the United States will be considered for this opening. Security screening may be required.

This posting is expected to close on June 30, 2026.