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Entry Level Insurance Data Analytics Jobs in Richmond, VA

CapTech Consulting

Data Analyst

Richmond, VA · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

CapTech Consulting

Data Analyst

Richmond, VA · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

CapTech Consulting

Data Analyst

Richmond, VA · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

CapTech Consulting

Data Analyst

Richmond, VA · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

CapTech Consulting

Data Analyst

Richmond, VA · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

CapTech Consulting

Data Analyst

Richmond, VA · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

CapTech Consulting

Data Analyst

Richmond, VA · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

CapTech Consulting

Data Analyst

Richmond, VA · On-site

Develop data collection systems, implement databases and analytics to optimize efficiency * Conduct ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Genworth Financial

Lead Data Architect

Richmond, VA · On-site +1

... insurance data model * Participating in meetings with business stakeholders to understand analytical or operational data needs so the best data modeling approach is selected. * Designing and ...

Pwc

AI & GenAI Data Scientist - Manager

Richmond, VA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

CoStar Group

Data Scientist

Richmond, VA

CSGP) is a leading global provider of commercial and residential real estate information, analytics ... Life, legal, and supplementary insurance * Virtual and in person mental health counseling services ...

CoStar

Data Scientist

Richmond, VA

CSGP) is a leading global provider of commercial and residential real estate information, analytics ... Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and ...

Visual Lease

Data Scientist

Richmond, VA · On-site

$80 - $100/hr

CSGP) is a leading global provider of commercial and residential real estate information, analytics ... Life, legal, and supplementary insurance * Virtual and in person mental health counseling services ...

CoStar Group

Data Scientist

Richmond, VA · On-site

CSGP) is a leading global provider of commercial and residential real estate information, analytics ... Life, legal, and supplementary insurance * Virtual and in person mental health counseling services ...

Halyard Health

Data Scientist

Glen Allen, VA · On-site

$100 - $125/hr

Employer-Paid Life Insurance and Disability - We offer employer-paid life insurance and disability ... Required Skills & Qualifications: • Proficiency in Python, PySpark, and SQL for data analysis ...

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All JobsInsurance Data Analytics JobsEntry Level Insurance Data Analytics JobsEntry Level Insurance Data Analytics Jobs in Richmond, VA

Entry Level Insurance Data Analytics information

See Richmond, VA salary details

$24

$54

$93

How much do entry level insurance data analytics jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level insurance data analytics in Richmond, VA is $54.18, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $61.39 per hour, depending on experience, location, and employer.

What is an entry level insurance data analytics job?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.

What are the key skills and qualifications needed to thrive as an entry level insurance data analytics professional?

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What are some common challenges faced by entry level insurance data analytics professionals, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What does an entry level insurance data analyst do in insurance?

An entry level insurance data analyst collects, organizes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to improve underwriting processes and pricing strategies.

What are the most commonly searched types of Insurance Data Analytics jobs in Richmond, VA?

The most popular types of Insurance Data Analytics jobs in Richmond, VA are:

What are popular job titles related to Entry Level Insurance Data Analytics jobs in Richmond, VA?

For Entry Level Insurance Data Analytics jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Entry Level Insurance Data Analytics jobs in Richmond, VA look for?

The top searched job categories for Entry Level Insurance Data Analytics jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Entry Level Insurance Data Analytics jobs?

Cities near Richmond, VA with the most Entry Level Insurance Data Analytics job openings:

Entry Level Insurance Data Analytics jobs near you
Infographic showing various Entry Level Insurance Data Analytics job openings in Richmond, VA as of September 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution, with an average salary of $112,692 per year, or $54.2 per hour.

Scrum Master/Business Analyst with P&C Domain - Glen Allen, VA

Accord Technologies Inc.

Glen Allen, VA • On-site

Contractor

Re-posted 20 days ago

Job description

Role: Scrum master/Business Analyst with Property and Casualty 
Location: Glen Allen/Richmond, VA (Hybrid 3 days a week)
Position type: W2 contract
Mandatory skills:

  • This is Scrum Master/ BA role( 60% Scrum; 40% BA).
  • Candidate need to be strong on both the skills.
  • Property and Casualty (P&C) insurance domain.
  • P&C insurance processes, including underwriting, policy administration, claims handling, ratemaking, and risk assessment.
  • Should have worked on Insurance software platforms like Guidewire, Duck Creek, Vertafore, or similar.
  • Agile/Scrum methodologies.
  • Professional certifications such as CBAP, CCBA, or PMI-PBA.
  • insurance data analytics and reporting tools

Position Overview:
We are seeking an experienced Business Analyst with a strong background in the Property and Casualty (P&C) insurance domain. The ideal candidate will act as a bridge between business stakeholders and technical teams, gathering requirements, analyzing processes, and facilitating solutions to improve our insurance operations, underwriting, claims management, and policy administration.

Key Responsibilities:

  • Collaborate with underwriting, claims, actuarial, and other domain experts to understand and document business needs and processes within the P&C insurance space.
  • Gather, analyze, and translate business requirements into detailed functional specifications and user stories for development teams.
  • Conduct gap analysis to identify areas for process improvement and system enhancement.
  • Support the design, testing, and implementation of P&C insurance solutions, ensuring alignment with business goals.
  • Assist in the development of data models, workflows, and reports related to insurance operations.
  • Facilitate communication among stakeholders, project teams, and vendors to ensure clear understanding and successful delivery.
  • Support regulatory compliance, risk management, and audit requirements by ensuring systems and processes meet industry standards.
  • Keep abreast of industry trends, regulatory changes, and emerging technologies within the P&C insurance domain.

Qualifications and Skills:

  • Bachelor’s degree in Business Administration, Insurance, Finance, Computer Science, or a related field.
  • Proven experience as a Scrum Master and Business Analyst in the Property and Casualty insurance domain.
  • Strong understanding of P&C insurance processes, including underwriting, policy administration, claims handling, ratemaking, and risk assessment.
  • Experience with insurance software platforms like Guidewire, Duck Creek, Vertafore, or similar.
  • Excellent analytical, problem-solving, and documentation skills.
  • Strong communication and stakeholder management abilities.
  • Knowledge of industry regulations, compliance standards, and best practices.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Professional certifications such as CBAP, CCBA, or PMI-PBA.
  • Experience with Agile/Scrum methodologies.
  • Knowledge of insurance data analytics and reporting tools