Claims AI & Analytics Engineer — Automation & Insights

assuranceamerica; Birmingham (AL); On-site; USD 90,000 - 130,000; Full time

Job summary

AssuranceAmerica seeks a Claims AI & Analytics Engineer to design, build, and support data pipelines, automation, and AI-driven insights that modernize claims analytics and reporting infrastructure in a cloud-enabled environment.

The role collaborates with Claims, IT, SIU, Finance and Data teams to improve data governance, operational visibility, and analytics delivery. It is a hands-on position focused on ETL/ELT, data models, and scalable architecture.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Analytics, Engineering, or related field.
• 5+ years of analytics engineering, BI, data integration, or data-focused tech roles.
• Strong SQL and scripting/programming (Python).
• Experience with Power BI or Tableau.
• Experience with cloud-based platforms and APIs.

Responsibilities

• Design scalable claims data pipelines, integrations, and reporting infrastructure.
• Develop automation to improve claims workflows and reporting accuracy.
• Build and maintain claims-focused data models, ETL/ELT processes, and analytics structures.
• Support modernization of analytics platforms, cloud environments, and BI architecture.
• Partner with Claims, IT, Finance, SIU, and Data teams to improve data accessibility and governance.
• Develop analytics solutions for claims segmentation, triage, and workflow optimization.
• Establish data validation, governance, and audit-readiness controls.

Skills

SQL

Python

Analytical thinking

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Information Systems, Analytics, Engineering, or related field

Tools

Power BI

Tableau

Job description

AssuranceAmerica seeks a Claims AI & Analytics Engineer to design, build, and support data pipelines, automation, and AI-driven insights that modernize claims analytics and reporting infrastructure in a cloud-enabled environment.

The role collaborates with Claims, IT, SIU, Finance and Data teams to improve data governance, operational visibility, and analytics delivery. It is a hands-on position focused on ETL/ELT, data models, and scalable architecture.