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Entry Level Insurance Data Analytics Jobs in Virginia

Gnw

Data Analytics Intern - Summer 2027

Richmond, VA

$23 - $26/hr

This internship offers an excellent opportunity to gain hands-on experience in the insurance and ... Perform data mining and analyzing of structured and unstructured data associated with claims ...

Ryan Specialty

Data Analyst

Richmond, VA · On-site

$62K/yr

This entry-level role is ideal for a recent graduate with strong technical skills who can ... insurance industry, collaborate with carrier partners, and grow into advanced analytics or ...

Ryan Specialty

Data Analyst

Richmond, VA

$62K/yr

This entry-level role is ideal for a recent graduate with strong technical skills who can ... Bachelor's degree in Data Analytics, Statistics, Business, Finance, Risk Management & Insurance, or ...

Ryan Specialty

Data Analyst

Richmond, VA · On-site

$62K/yr

This entry-level role is ideal for a recent graduate with strong technical skills who can ... Bachelor's degree in Data Analytics, Statistics, Business, Finance, Risk Management & Insurance, or ...

Insilico Logix

Data Analyst

Herndon, VA

$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 ...

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 ...

Guidehouse

FM Data Analysis Specialist

Mclean, VA · On-site

ONE (1) year+ experience in financial management and data analytics What Would Be Nice To Have ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Asta CRS Inc.

Be Seen First

Junior Data Analyst

Richmond, VA · On-site

$28 - $30/hr

This entry-level role involves working with data sets, generating reports, and assisting senior analysts with various projects. Responsibilities * Gather, clean, and organize data from various ...

New

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 ...

ManTech

Data Analyst

Ashburn, VA · On-site

$83K - $139K/yr

... IT, Data Analytics and Software Development. Elevate your career and make a difference. Your ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

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All JobsInsurance Data Analytics JobsEntry Level Insurance Data Analytics JobsEntry Level Insurance Data Analytics Jobs in Virginia

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Entry Level Python Programmer/Data Scientist/Analyst

SynergisticIT

Arlington, VA • On-site

Other

Posted 27 days ago

Job description

Entry-Level Data Analyst — Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But entry-level data roles are also competitive. Employers want candidates who can write SQL queries, clean data, build dashboards, understand business metrics, and communicate insights clearly. A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI, Tableau, business reporting, data visualization, and dashboard development. This role is well-suited for recent graduates, career changers, and candidates who enjoy solving problems with data. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for aspiring data analysts because it focuses on job readiness, not just learning tools. Candidates can strengthen their technical stack, build portfolio-style projects, improve resume keywords, and prepare for interviews where they may need to explain SQL logic, dashboards, data-cleaning decisions, and business impact. If you are ready to turn your interest in data into a career path, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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