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Claims AI & Analytics Engineer
AssuranceAmerica. Design and support scalable claims data pipelines, integrations, and reporting infrastructure .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and supporting scalable claims data pipelines, automation solutions, and analytics platforms, with a strong focus on data integrity and operational efficiency. Proficient in SQL, Python, and BI tools to enhance claims workflows and reporting accuracy.
Highest-signal resume keywords
SQLPython ProgrammingETL ProcessesPower BIData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Analytics EngineeringData ModelingAutomation FrameworksData IntegrationCloud-Based PlatformsData OrchestrationPredictive AnalyticsClaims AnalyticsScriptingBusiness Intelligence
Soft Skills
Analytical SkillsProblem-SolvingCross-Functional CollaborationTroubleshootingTime Management
Tools & Technologies
Power BITableauCloud PlatformsAPIsAutomation Tools
Industry Keywords
Claims DataData AccessibilityData IntegrityOperational EfficiencyAudit-Readiness
Tech Stack
Tools & technologiesCloudETLPythonSQLTableau
About the role
Key responsibilities & impact- Design and support scalable claims data pipelines, integrations, and reporting infrastructure
- Develop automation solutions to improve claims workflows, operational efficiency, and reporting accuracy
- Build and maintain claims-focused data models, ETL/ELT processes, and analytical data structures
- Support modernization of claims analytics platforms, cloud-based environments, and BI architecture
- Partner with Claims, IT, Finance, SIU, and Data teams to improve data accessibility, governance, and integration
- Develop and support analytics solutions for claims segmentation, triage, assignment logic, and workflow optimization
- Establish data validation, governance, and audit-readiness controls to ensure data integrity
- Support implementation of AI-enabled solutions, predictive analytics, and operational scoring initiatives
- Identify opportunities to reduce manual processes through scripting, APIs, orchestration, and automation frameworks
- Support analytics platform administration, system integrations, and reporting infrastructure enhancements
- Participate in testing, validation, and deployment of analytics-related system and automation enhancements
- Maintain technical documentation for data flows, transformation logic, integrations, and reporting frameworks
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Systems, Analytics, Engineering, or related field
- 5+ years of experience in analytics engineering, business intelligence, systems integration, or data-focused technology roles
- Strong SQL and scripting/programming experience (Python preferred)
- Experience with BI and visualization platforms such as Power BI or Tableau
- Experience supporting cloud-based platforms and integrations
- Understanding of APIs, ETL processes, automation frameworks, and data orchestration
- Strong analytical, troubleshooting, and problem-solving skills
- Ability to manage multiple priorities and work cross-functionally
Benefits
Comp & perks- Opportunity to learn and grow
- Work environment designed to meet associate needs
- Full-time employment