Data Analyst: Healthcare Analytics & Predictive Modeling

Socket.dev; Overland Park (KS); Hybrid; USD 76,000 - 115,000; Full time

Benefits offered by this job

Healthcare benefits including medical,

Health Coach access

Employee Assistance Program

401(k) with company matching

Tuition assistance

Adoption assistance

Paid parental leave

Disability insurance

Life insurance

Paid time-off

Job summary

GE Aerospace is seeking an experienced analytics leader for its ERAC Long-Term Care Insurance unit. You will drive data-driven decision-making by leveraging healthcare and claims data, building predictive models, and translating insights into business impact.

The role supports a hybrid work arrangement in Overland Park, Kansas, or remote within the U.S., requiring strong collaboration and communication with cross-functional teams and external partners.

Qualifications

• Bachelor's degree from an accredited university or college
• 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
• Demonstrated hands-on experience in data science and predictive modeling is required
• Experience working with large, complex datasets from multiple sources
• Proven 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, with the ability to work effectively across teams and stakeholders
• Ability to work hybrid in Overland Park, Kansas, or remote within the U.S.
• This role will require in-person attendance for New Hire Orientation on Day 1

Responsibilities

• Lead efforts to develop and enhance 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 decision-making
• Design, build, and apply predictive models and other advanced analytical solutions to address key business questions
• Carrying out statistical research, prototyping new systems, and finding new ways of gathering, cleaning, and analyzing data
• Work within a robust data platform to analyze complex datasets, including exploratory data analysis (EDA) and produce meaningful business insights
• Collaborate with cross-functional teams and stakeholders to translate analytical findings into actionable recommendations
• Foster creative, thoughtful, and rigorous analysis to enhance reporting and deepen understanding of key business drivers
• Support the organization’s multi-year journey toward greater analytical maturity and data-driven decision-making
• Communicate results clearly and effectively to technical and non-technical audiences, including business leaders

Skills

Data analytics

Data science

Predictive modeling

Healthcare data

Claims data

Communication skills

Collaboration

Business insights

Cross-functional collaboration

Analytical storytelling

Education

Bachelor's degree

Job description

GE Aerospace is seeking an experienced analytics leader for its ERAC Long-Term Care Insurance unit. You will drive data-driven decision-making by leveraging healthcare and claims data, building predictive models, and translating insights into business impact.

The role supports a hybrid work arrangement in Overland Park, Kansas, or remote within the U.S., requiring strong collaboration and communication with cross-functional teams and external partners.