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# Operations Data Analyst- Insurance

- **Company:** GE Aerospace
- **Location:** Minden, NV, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $76,400.0 - $115,300.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Microsoft Azure, Big Data, Databases, Relational Databases, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Microsoft PowerPoint, Power BI, SQL Databases, Tableau (Software), Information Technology, Machine Learning Operations
- **Published:** June 12, 2026
- **Apply:** https://www.juju.com/job/00000000g7p8en

## About the Role

+ Bachelor's degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, Data Science or equivalent combination of education and experience in related fields

 + Proficiency in tools and languages such as Power BI, Tableau, SQL, Excel, and Python (https://careerfoundry.com/en/blog/data-analytics/what-is-python/) or R

 + Experience with relational databases and data analysis techniques

 + Minimum of 3 years experience in data analyst role

 + 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

Desired Characteristics

 + Insurance industry or financial services experience

 + 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

## Description

+ 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)


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