GE Aerospace is a reinsurance company supporting long-term care insurance and other insurance products. They are seeking an Operations Data Analyst to lead data analysis efforts, develop analytical capabilities, and translate findings into actionable insights for decision-makers. The role involves data sourcing, collaboration with teams, and enhancing reporting to support informed decision-making.
Responsibilities:
- 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)
Requirements:
- 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