Data Analyst (Insurance)

Social Capital Resources; Jersey City (NJ); On-site; USD 75,000 - 95,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A financial services firm based in Jersey City seeks an Associate to utilize big data and analytics to enhance business insights. The role involves supporting workflow optimization and developing metrics in the insurance industry. Candidates should possess strong SQL skills, experience with analytics tools like Python or R, and a Bachelor's degree in fields such as Data Management or Mathematics. This full-time position offers medical, vision, and 401(k) benefits.

Qualifications

• 2+ years of insurance experience, preferably in personal lines.
• Experience working with large data sets.
• Familiarity with data science concepts.

Responsibilities

• Support workflow optimization initiatives.
• Develop reporting and track key metrics.
• Partner with actuarial and data science teams.
• Build and maintain dashboards reflecting underwriter production.

Skills

SQL skills

Analytics tools (Python, R, SAS)

Dashboard building (Power BI)

Problem-solving skills

Attention to detail

Education

Bachelor's Degree in Data Management or related fields

Job description

Social Capital Resources Provided Pay Range

This range is provided by Social Capital Resources. Your actual pay will be based on your skills and experience—talk with your recruiter to learn more.

Base Pay Range

$75,000.00/yr - $95,000.00/yr

Additional Compensation Types

Annual Bonus

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities

• Support initiatives related to workflow optimization, underwriting authority, and underwriting governance
• Develop reporting of and track key metrics such as submission volume and quality, pipeline development, conversion rate, new business production, renewal retention, and loss results
• Ensure consistency across data sources used for underwriting performance, appetite decisions, and risk evaluation.
• Partner with actuarial and data science teams to interpret and operationalize predictive models for underwriting workflows.
• Support the Field and Complex Account underwriting teams develop and track operational KPIs and SLAs at an underwriter and team level
• Analyze underwriting performance to identify growth drivers and opportunities for operational improvement
• Evaluate the impact of workflow improvements, appetite shifts, and other strategic changes
• Build and maintain executive, manager, and underwriter dashboards that reflect underwriter production and efficiency and promotes transparency of results
• Support annual premium planning and annual objective development
• Provide data calls as necessary to comply with regulatory or capacity partner requests
• Support regulatory or capacity partner audit requests
• Prepare and present KPIs for capacity partner reporting related to underwriting results and operational targets
• Collaborate with Information Technology counterparts in creating and maintaining consistent data sources
• Ensure consistent metric definitions across business units working closely with Finance, Product, Actuarial, Underwriting, Risk Management, Sales & Distribution, and Portfolio Management

Skills and Qualifications

• 2+ years of insurance experience preferably in the personal lines marketplace and/or in roles working directly with underwriters or product managers.
• Experience in working with large data sets with strong SQL skills and proficiency with analytics tools such as Python, R, SAS, or similar.
• Experience building dashboards in visualization platforms with preference for Power BI skills
• Bachelor’s Degree in Data Management, Data Science, Mathematics, Actuarial Science, Economics, Finance, or related fields is preferred
• Strong problem-solving skills and attention to detail, especially when working with complex datasets.

Seniority Level

Associate

Employment Type

Full-time

Job Function

Finance

Industries

Insurance

Inferred Benefits

• Medical insurance
• Vision insurance
• 401(k)