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Entry Level Insurance Data Analytics Jobs in Virginia

None What You Will Do As a Consultant you will have the daily responsibility to analyze client data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Auto Claims Representative

Forest, VA · On-site

$52K - $82K/yr

This job handles entry-level insurance claims under close supervision through the life-cycle of a ... Ability to organize data, multi-task and make decisions independently * Above average communication ...

Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Systems ... Benefits * Health insurance * Dental insurance * Vision insurance * Life Insurance * 401(k) ...

Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Systems ... Benefits * Health insurance * Dental insurance * Vision insurance * Life Insurance * 401(k) ...

Data Analyst

Vienna, VA · On-site

$75K - $95K/yr

Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Systems ... Benefits * Health insurance * Dental insurance * Vision insurance * Life Insurance * 401(k) ...

Insurance Analyst - Post Closing

Warrenton, VA · On-site

$20 - $27.25/hr

Insurance Analyst Greystone is a private national commercial real estate finance company with an ... Verifying and entering data into the servicing systems related to insurance. * Assist and/or ...

Data Analyst

Herndon, VA · On-site

$60K - $70K/yr

... Insurance - Immigration Support for OPT students and visa holders - Skills Enhancement Data Analytics Training Program is provided for selected candidates ** OPT students may also apply If you are ...

Data Analyst

Arlington, VA · Hybrid

$83K - $139K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Data Analyst

Arlington, VA · Hybrid

$83K - $139K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Data Analyst

Arlington, VA · On-site

$83K - $139K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Data Analyst

Arlington, VA · On-site

$83K - $139K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

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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:

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.

Data Analytics Developer

Northern Virginia, VA

ApplyLogic Consulting Group, LLC
IT Services • 11 - 50 employees

$75K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description


ApplyLogic is a fast-paced Service-Disabled Veteran-Owned Small-Business, headquartered in Vienna, VA. Our people are our greatest asset, and our company culture is grounded on that belief. We offer challenging and interesting work in a friendly and supportive environment. Through prime and subcontracts, we deliver best-in-class expertise to solve complex technical problems. 
 

We're looking for a talented Data Analytics Developer to join our team supporting a complex Federal Government customer in Northern Virginia (Alexandria/Falls Church area). This individual will help transform data from multiple sources into useful reports, dashboards, and insights. You will use SQL, Power BI, Excel, and other analytical tools to support reporting and decision-making.

Work Location:

  • Onsite – Northern Virginia (Alexandria/Falls Church area)

Clearance:
Must be a U.S. Citizen with the ability to obtain and maintain Government security clearance.

Primary Roles and Responsibilities:

  • Develop and maintain reports, dashboards, and data visualizations using Power BI or similar business intelligence tools.
  • Write and execute SQL queries to retrieve, analyze, and validate data from relational databases and other sources.
  • Perform recurring and ad hoc data analysis to identify trends, patterns, anomalies, and areas requiring attention.
  • Prepare data for reporting and analysis by reviewing, cleaning, and validating data from multiple sources.
  • Support the development and maintenance of Power BI datasets, reports, dashboards, and visualizations.
  • Assist with gathering and documenting reporting and analytical requirements from business and technical stakeholders.
  • Perform data validation and quality checks to ensure reports and dashboards accurately reflect underlying data.
  • Assist with developing recurring operational, management, and analytical reports.
  • Troubleshoot reporting and data issues and coordinate with technical teams when additional support is required.
  • Document report definitions, data sources, business rules, and reporting procedures.
  • Support efforts to improve reporting processes, data accuracy, and reporting efficiency.
  • Collaborate with data engineers, database administrators, developers, and business stakeholders.

Required Education, Experience, & Skills:

  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field, or equivalent combination of education and relevant experience.
  • 2+ years of professional experience in data analysis, business intelligence, reporting, or a related discipline.
  • Experience using SQL to query and analyze data.
  • Experience developing reports, dashboards, or data visualizations using Power BI or a similar BI platform.
  • Experience working with data from relational databases or multiple data sources.
  • Understanding of data analysis, data validation, and data quality concepts.
  • Strong analytical and problem-solving skills.
  • Ability to translate data into clear and understandable reports and visualizations.
  • Strong attention to detail and ability to identify inconsistencies or anomalies in data.
  • Strong written and verbal communication skills.
  • Ability to work independently while collaborating effectively with technical and business stakeholders.
Preferred Qualifications
  • Advanced Power BI experience, including DAX and Power Query.
  • Experience with SQL Server, Oracle, PostgreSQL, or similar databases.
  • Advanced Microsoft Excel skills, including PivotTables, Power Query, and complex formulas.
  • Experience with Tableau, Qlik, or other BI platforms.
  • Experience developing executive, operational, or management dashboards.
  • Experience with data modeling and analytical datasets.
  • Experience with Python, R, or other analytical programming languages.
  • Experience with data warehousing.
  • Experience with data quality or data governance practices.
  • Experience supporting complex enterprise environments.
  • Experience supporting U.S. government or federal contracting programs.
  • Active or previously held U.S. government security clearance.

The Perks of Being on Our Team
ApplyLogic offers competitive salaries with a robust Fortune-500 type benefits package. Some of the benefits you will receive when you join us are: 
  • Employee Assistance Program
  • 401K
  • Medical/Dental/Vision Insurance
  • Life/Short-Term Disability/Critical Illness/Accident Insurance
  • 15 PTO Days 
  • 11 Federal Holidays
  • Up to $5K towards continuing education and/or professional development 

Salary Range
$75,000-$95,000
The posted salary range represents the anticipated compensation for this position. Final compensation will be based on the selected candidate's qualifications, years of directly relevant experience, education, certifications, security clearance, contract requirements, and other business considerations.