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Entry Level Insurance Data Analytics Jobs in Virginia

Sparks Group

HR Data Analyst (Contract)

Herndon, VA · Hybrid

$36 - $40/hr

You will perform data extraction, exploratory data analytics, and present your findings in ... insurance, paid and unpaid time off, and retirement and savings plans to qualifying employees.

Greystone

Insurance Analyst - Post Closing

Warrenton, VA

$20 - $27.25/hr

The Insurance Analyst handles the insurance process preparation and payment of the insurance ... Verifying and entering data into the servicing systems related to insurance. * Assist and/or ...

AMERICAN SYSTEMS

Data Analyst - Mid

Quantico, VA · On-site

$135K - $150K/yr

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

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 ...

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

Entry-Level Analyst U.S. citizenship required. Are you a critical thinker with acumen for problem ... Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO ...

US101 Guidehouse Inc.

Fraud Data Analyst

Arlington, VA · On-site

$98K - $163K/yr

Bachelors Degree THREE (3) or more years of experience in data analytics or consulting, Experience ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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  ...

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Entry Level Insurance Data Analytics information

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 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 September 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution.

HR Data Analyst (Contract)

Herndon, VA • Hybrid

Sparks Group
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Sparks Groupexternal

$36 - $40/hr

Contractor

Medical, Life, Retirement

Re-posted 6 days ago

Key responsibilities

  • Assist in collecting, cleaning, and transforming data from various data sources.

  • Perform large-scale data analysis using mathematical and statistical methods and tools to extract business insights.

  • Support in building data visualizations/dashboards to present data insights and recommendations.

Job description

Job Summary/Company: Our client is looking for a junior HR Data Analyst. As a Data Analyst at Airbus, you will collaborate with stakeholders, design methodologies to solve problems and use advanced analytics and algorithms in the context of business needs. You will perform data extraction, exploratory data analytics, and present your findings in dashboards and reports. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. You won’t simply present data, but tell data-driven stories. *please note* you MUST be local to Herndon VA as this position requires 3x a week onsite work.
Responsibilities:
  • Assist in collecting, cleaning, and transforming data from various data sources.
  • Perform large-scale data analysis using mathematical and statistical methods and tools to extract business insights.
  • Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
  • Suggest improvements in the modeling techniques to and convince the team on new initiatives.
  • Support in building data visualizations/dashboards to present data insights and recommendations.
  • Utilize data analytics tools (e.g. Python, Alteryx, Tableau, Skywise,) for data manipulation, basic analysis, and reporting tasks.
  • Write and execute data queries using SQL, Python, or other data analysis programming languages.
Qualifications/Background Profile:
  • Bachelor’s degree in Business Information Technology, Management Information Systems, Computer Science, Information Technology, Economics, Mathematics, Data Science/Analytics,
    Applied Sciences, Engineering, or other quant-focused field or equivalent combination of industry related professional experience and education.
  • 3 years of working experience with 2 +years in SQL and Python.
  • Practical experience in a business environment applying analytical skills and tools (Tableau, SQL) to solve real-world problems.
  • Some experience and or project course work performing data analysis and applying statistics working with tools such as: Python, MATLAB, R, Tableau, Alteryx, Excel,  or SAS.
  • Familiarity with structured, semi-structured and unstructured data sets (XML, JSON, etc.).
  • Some experience or project coursework working with databases, data models, and data warehouse concepts.

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This job is Hybrid Remote.

Pay Range: Hourly $36.00 to $40.00

We offer several comprehensive benefits package including health and life insurance, paid and unpaid time off, and retirement and savings plans to qualifying employees.

Download the Sparks Group mobile app from Apple App Store or Google Play.

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Sparks Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, pregnancy, citizenship, family status, genetic information, disability, or protect veteran status.