Data Analyst – Insurance Claims

🔥 0 minutes ago

🦌 Connecticut, Kansas – Remote

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💵 $76.4k - $115.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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Logo of GE Aerospace

GE Aerospace

10,000+ employees

🚀 Aerospace

🏭 Manufacturing

🎖️ Defense

💰 $2G Post-IPO Debt - GE Aerospace on 2025-07

Aerospace • Manufacturing • Defense

GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.

📋 Description

• Lead development and enhancement of analytical and data science capabilities across the Long-Term Care Insurance business • Leverage healthcare and claims data to identify trends, generate insights, and support data-driven decisions • Design, build, and apply predictive models and advanced analytical solutions • Conduct statistical research and prototype new systems • Find new ways to gather, clean, and analyze data • Analyze complex datasets, including exploratory data analysis (EDA), within a robust data platform • Produce meaningful business insights • Collaborate with cross-functional teams and stakeholders to translate findings into actionable recommendations • Enhance reporting and deepen understanding of key business drivers • Support the organization’s multi-year journey toward analytical maturity • Communicate results to technical and non-technical audiences, including business leaders

🎯 Requirements

• Bachelor’s degree from an accredited university or college • GE Aerospace will NOT sponsor individuals for employment visas, now or in the future, for this job opening • Significant experience in data analytics, business intelligence, data science, or a related analytical field • Healthcare data experience is required • Experience working with claims data is required • Hands-on experience in data science and predictive modeling is required • Experience working with large, complex datasets from multiple sources • Ability to translate analytical results into actionable business insights and recommendations • Experience sourcing and working with data from external partners and third-party data providers • Strong communication and collaboration skills • Ability to work hybrid in Overland Park, Kansas, or remote within the U.S. • In-person attendance required for New Hire Orientation on Day 1 • Experience in long-term care insurance, reinsurance, life insurance, structured settlements, or related insurance products • Understanding of insurance, healthcare, and claims datasets and business drivers • Experience with advanced analytics beyond traditional reporting and dashboarding • Strong data visualization and storytelling skills • Ability to influence decision-making through data-driven insights • Experience improving analytical capabilities and data maturity • Ability to balance technical depth with practical business application

🏖️ Benefits

• Annual discretionary bonus based on a percentage of base salary / commission based on the plan • Medical, dental, vision, and prescription drug coverage • Access to a Health Coach from GE Aerospace • Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services • GE Aerospace Retirement Savings Plan • 401(k) savings plan with company matching contributions • Company retirement contributions • Access to Fidelity resources and planning consultants • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time off for vacation or illness • Professional development opportunities • No relocation assistance

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