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Role Summary

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HIGHLIGHTS

Entry-level P&C actuarial/business analyst role in Jersey City supporting data quality, regulatory filings, and reporting across personal and commercial lines. You will analyze large insurance datasets, write extraction programs, and help automate data quality and reporting processes while interacting with insurer customers and regulators.

JOB DESCRIPTION SUMMARY

  • Analyze large P&C insurance datasets for data quality and regulatory reporting
  • Prepare Statistical Agent filings and support state/federal reporting
  • Write and run SQL/SAS/VBA programs to extract and validate data
  • Work with Excel and Access and automate data quality/error detection
  • Office-based role in Jersey City, NJ (no remote pattern specified)

DOMAIN EXPERTISE

  • Property-Casualty insurance experience
  • Regulatory data reporting and Statistical Agent filings
  • Quantitative and qualitative data analysis
  • Experience with SQL, SAS, VBA or Python
  • Familiarity with data visualization tools like Tableau or Power BI

KEY REQUIREMENTS

  • Bachelor’s degree in a STEM field preferred
  • 1–3 years of Property-Casualty insurance experience preferred
  • Experience with SQL, SAS, VBA or Python
  • Ability to perform quantitative and qualitative data analysis
  • Strong written and oral communication skills

TECH STACK

  • Excel
  • Access
  • Jupyter_Notebook
  • Tableau
  • Power_BI
  • Other_BI_Tool
  • PowerPoint
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Role Summary

Loading...

HIGHLIGHTS

Entry-level P&C actuarial/business analyst role in Jersey City supporting data quality, regulatory filings, and reporting across personal and commercial lines. You will analyze large insurance datasets, write extraction programs, and help automate data quality and reporting processes while interacting with insurer customers and regulators.

JOB DESCRIPTION SUMMARY

  • Analyze large P&C insurance datasets for data quality and regulatory reporting
  • Prepare Statistical Agent filings and support state/federal reporting
  • Write and run SQL/SAS/VBA programs to extract and validate data
  • Work with Excel and Access and automate data quality/error detection
  • Office-based role in Jersey City, NJ (no remote pattern specified)

DOMAIN EXPERTISE

  • Property-Casualty insurance experience
  • Regulatory data reporting and Statistical Agent filings
  • Quantitative and qualitative data analysis
  • Experience with SQL, SAS, VBA or Python
  • Familiarity with data visualization tools like Tableau or Power BI

KEY REQUIREMENTS

  • Bachelor’s degree in a STEM field preferred
  • 1–3 years of Property-Casualty insurance experience preferred
  • Experience with SQL, SAS, VBA or Python
  • Ability to perform quantitative and qualitative data analysis
  • Strong written and oral communication skills

TECH STACK

  • Excel
  • Access
  • Jupyter_Notebook
  • Tableau
  • Power_BI
  • Other_BI_Tool
  • PowerPoint

Job Overview

Salary
Salary not specified
Years of Experience
1+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an entry-level P&C analyst with 1–3 years' insurance experience or a strong STEM graduate who has passed at least one actuarial exam and is skilled in SQL and data analysis.

Benefits

Health Insurance401(k) PlanShort/Long Term DisabilityPaid Time OffFlexible HoursMentorship ProgramTraining Budget
Fresh Role
Premium Window
1d
1 days ago

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

Job Overview

Salary
Salary not specified
Years of Experience
1+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an entry-level P&C analyst with 1–3 years' insurance experience or a strong STEM graduate who has passed at least one actuarial exam and is skilled in SQL and data analysis.

Benefits

Health Insurance401(k) PlanShort/Long Term DisabilityPaid Time OffFlexible HoursMentorship ProgramTraining Budget
Fresh Role
Premium Window
1d
1 days ago

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

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