

Wall Street Consulting Services LLC
Data Analyst - P&C
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst - P&C, 6-month contract, offering a pay rate of "X". Work location is "remote". Key skills include strong SQL, Python/R, advanced Excel, and BI tools like Power BI/Tableau. P&C insurance experience is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
January 28, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
New Jersey, United States
-
π§ - Skills detailed
#BI (Business Intelligence) #Microsoft Power BI #Pandas #Data Quality #NumPy #Compliance #Data Modeling #Trend Analysis #Python #Data Analysis #Tableau #R #SQL (Structured Query Language)
Role description
A Data Analyst in Property & Casualty insurance focuses on analyzing policy, claims, underwriting, and loss data to support risk assessment, pricing, profitability, and regulatory reporting.
Key Responsibilities (P&C-specific)
β’ Analyze policy, premium, claims, and loss data across lines like Auto, Home, Workersβ Comp, Liability
β’ Perform loss ratio, combined ratio, and profitability analysis
β’ Support underwriting with risk insights and trend analysis
β’ Analyze claims severity & frequency, leakage, and fraud indicators
β’ Build dashboards for claims performance, exposure, reserves, and renewals
β’ Work with actuarial and underwriting teams to validate assumptions
β’ Ensure data quality and reconciliation across policy admin & claims systems
β’ Support regulatory and compliance reporting (state filings, audits)
β’ Identify trends impacting pricing, retention, and risk exposure
Core Skills Required
Technical
β’ SQL (strong β joins, CTEs, window functions)
β’ Python / R (pandas, NumPy for analysis)
β’ Excel (advanced formulas, pivots)
β’ BI Tools: Power BI / Tableau
β’ Data modeling & data validation
A Data Analyst in Property & Casualty insurance focuses on analyzing policy, claims, underwriting, and loss data to support risk assessment, pricing, profitability, and regulatory reporting.
Key Responsibilities (P&C-specific)
β’ Analyze policy, premium, claims, and loss data across lines like Auto, Home, Workersβ Comp, Liability
β’ Perform loss ratio, combined ratio, and profitability analysis
β’ Support underwriting with risk insights and trend analysis
β’ Analyze claims severity & frequency, leakage, and fraud indicators
β’ Build dashboards for claims performance, exposure, reserves, and renewals
β’ Work with actuarial and underwriting teams to validate assumptions
β’ Ensure data quality and reconciliation across policy admin & claims systems
β’ Support regulatory and compliance reporting (state filings, audits)
β’ Identify trends impacting pricing, retention, and risk exposure
Core Skills Required
Technical
β’ SQL (strong β joins, CTEs, window functions)
β’ Python / R (pandas, NumPy for analysis)
β’ Excel (advanced formulas, pivots)
β’ BI Tools: Power BI / Tableau
β’ Data modeling & data validation






