Senior Claims Data Analyst - Remote/Hybrid Analytics Lead

Aspire General Insurance Company; United States; Hybrid; USD 95,000 - 125,000; Full time

Job summary

Aspire General Insurance is seeking a Sr. Claims Data Analyst to partner with Claims Operations and IT in a hybrid work setting.

You will transform complex claims data into meaningful dashboards, reporting, insights, and recommendations to drive business performance. The role emphasizes strong SQL and Power BI expertise, collaboration with business leaders, and the ability to translate data findings into actionable recommendations.

Qualifications

• 3-5+ years in a Data Analyst, BI, or Analytics role.
• Strong SQL (T-SQL) for writing and troubleshooting complex queries and stored procedures.
• Advanced Power BI for dashboard development, reporting, and DAX.
• Ability to work independently with large and complex datasets.
• Strong analytical, problem-solving, and communication skills.
• Translate technical findings into actionable business recommendations.

Responsibilities

• Develop and maintain SQL queries and stored procedures to support reporting and decision-making.
• Build and enhance Power BI dashboards and reports using Fabric and DirectLake.
• Support operational dashboards for Claims performance reporting.
• Perform trend analysis, forecasting, and exploratory analytics to identify risks and opportunities.
• Analyze claims data for leakage, anomalies, fraud indicators, and inefficiencies.
• Create performance scorecards and workforce productivity reporting.

Skills

SQL (T-SQL)

Power BI

Data analysis

Stakeholder communication

Query optimization

Education

Bachelor's degree in a quantitative field

Tools

Microsoft Fabric

DirectLake

Azure Data Factory

Job description

Aspire General Insurance is seeking a Sr. Claims Data Analyst to partner with Claims Operations and IT in a hybrid work setting.

You will transform complex claims data into meaningful dashboards, reporting, insights, and recommendations to drive business performance. The role emphasizes strong SQL and Power BI expertise, collaboration with business leaders, and the ability to translate data findings into actionable recommendations.