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Entry Level Insurance Data Analytics Jobs in Virginia

AMERICAN SYSTEMS

Data Analyst - Mid

Quantico, VA · On-site

$135K - $150K/yr

Perform descriptive, diagnostic, and basic predictive analytics to identify trends, relationships ... plans, insurance programs, and education and training assistance. EEO Statement EEO Race/Sex ...

Tresume and Asta CRS

Entry Level Data Analyst

Herndon, VA · On-site

$25 - $30/hr

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

Guidehouse

Data Analyst

Mclean, VA · Hybrid

As a Data Analyst, you will be part of a dynamic team supporting customers within the Cybersecurity ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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 ...

Actfore

Data Entry Analyst - Part Time

Reston, VA · On-site

The Data Entry Analyst plays a critical role in examining various types of documents from data ... While this is an entrylevel, parttime role, it provides meaningful exposure to realworld cyber ...

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Entry Level Insurance Data Analytics information

What are some common challenges faced by entry-level professionals in insurance data analytics, 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 are the key skills and qualifications needed to thrive as an Entry Level Insurance Data Analytics professional, and why are they important?

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 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 are entry level insurance data analytics jobs?

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 most commonly searched types of Insurance Data Analytics jobs in Virginia? The most popular types of Insurance Data Analytics jobs in Virginia are:
What are popular job titles related to Entry Level Insurance Data Analytics jobs in Virginia? For Entry Level Insurance Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Insurance Data Analytics jobs in Virginia look for? The top searched job categories for Entry Level Insurance Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Insurance Data Analytics jobs? Cities in Virginia 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 Virginia as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% In-person job distribution.
Data Analyst - Mid

Data Analyst - Mid

AMERICAN SYSTEMS

Quantico, VA • On-site

$135K - $150K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago

Job description

Overview
AMERICAN SYSTEMS is an employee-owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Test & Evaluation, Program Mission Support, Engineering & Analysis, and Training.
Responsibilities
Position Description:
The Data Analyst - Mid supports CD&I by conducting quantitative and qualitative analysis to inform capability development, experimentation, and requirements decisions. The analyst will collect, clean, and interpret data from multiple sources, generate analytic products, and provide insights to support USMC force development and integration initiatives.
Responsibilities:
  • Acquire, clean, and validate data from operational, experimentation, modeling & simulation, and other enterprise sources.
  • Perform descriptive, diagnostic, and basic predictive analytics to identify trends, relationships, and performance drivers.
  • Develop dashboards, reports, and visualization products to communicate analytic findings to both technical and non-technical stakeholders.
  • Collaborate with operational subject matter experts, data engineers, and data scientists to define requirements and ensure data integrity and analytic relevance.
  • Support the development of metrics, measures of effectiveness (MOE), and measures of performance (MOP) for capability development and experimentation efforts.
  • Document methodologies, assumptions, and limitations to ensure analytic transparency and reproducibility.
  • Support briefings and working groups by providing data-driven insights and responding to ad hoc analytic requests.

Qualifications
Required Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Operations Research, Economics, or related field.
  • 3-7 years of experience performing data analysis or business intelligence, preferably in a DoD/USMC environment.
  • Proficiency with common data analysis and visualization tools (e.g., Excel with advanced functions, SQL, Tableau/Power BI, or equivalent).
  • Ability to work with structured and semi-structured data and conduct basic statistical analysis.
  • Strong written and verbal communication skills, including the ability to translate analytic results into operationally relevant insights.
  • Active TS/SCI Clearance

Desired Qualifications:
  • Experience supporting capability development, JCIDS, or experimentation/analysis within CD&I or similar organizations.
  • Exposure to scripting languages (e.g., Python, R) for data wrangling and analysis.

Pay Transparency Statement
AMERICAN SYSTEMS is committed to pay transparency for our applicants and employee-owners. The salary range for this position is USD $135,000.00/Yr. - USD $150,000/Yr. Actual compensation will be determined based on several factors permitted by law. AMERICAN SYSTEMS provides for the welfare of its employees and their dependents through a comprehensive benefits program by offering healthcare benefits, paid leave, retirement plans, insurance programs, and education and training assistance.
EEO Statement
EEO Race/Sex/Disability Status/Veteran Status

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