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Associate In Insurance Data Analytics Jobs in Ashburn, VA

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

Perform in a leadership and Solution Architect role, helping with shaping the strategic direction of our growing AI/ML, automation, and Data Analytics practice. * Deliver on projects in the areas of ...

Acumen Solutions

Sr. Manager, Data Analytics

Mclean, VA · On-site

Company Description Acumen Solutions is the trusted leader in Enterprise Cloud Transformation ... Acumen Solutions is looking for a Sr. Manager of Data Analytics to join our Analytics team. The Sr. ...

Amivero

Fraud Data Analytics Lead

Washington, DC

$75K - $130K/yr

Our Fraud Data Analytics Lead will lead a team of fraud analysts and be instrumental in working with the federal government to develop fraud analytic models that identify suspicious activity for ...

System One

HR Data Analytics

Merrifield, VA · Remote

Multiyear Contract (candidates must live in the US) We are looking for candidates with 5-10 years ... The Technical Data Steward (HR Data Analytics) is responsible for the governance, quality, security ...

krg technology inc

Data Architect & Analytics

Bethesda, MD · On-site

$68.25 - $87.75/hr

... in designing, architecting and implementing large scale data processing/data storage/data ... Data & Analytics solutions Ability to work with a multi-technology/cross-functional teams and ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Ashburn, VA

Associate In Insurance Data Analytics information

See Ashburn, VA salary details

$3.3K

$6.4K

$9.2K

How much do associate in insurance data analytics jobs pay per month?

As of Jul 14, 2026, the average monthly pay for associate in insurance data analytics in Ashburn, VA is $6,432.83, according to ZipRecruiter salary data. Most workers in this role earn between $5,833.33 and $6,858.33 per month, depending on experience, location, and employer.

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are the key skills and qualifications needed to thrive as an Associate in Insurance Data Analytics, and why are they important?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
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Associate In Insurance Data Analytics jobs near you

Research & Data Analytics Intern

PDK International

Arlington, VA • Remote

$25/hr

Other

Posted 27 days ago

Job description

Educators Rising is seeking a motivated, detail-oriented graduate student or upper-level undergraduate for a Fall 2026 research and data internship focused on measuring and communicating the impact of Educators Rising on the educator workforce pipeline.
 
This project-based internship offers a unique opportunity to contribute to a high-priority organizational initiative aimed at strengthening how we collect, analyze, and communicate program impact. The intern will help assess current data systems, identify opportunities to enhance impact measurement, and develop insights that inform how Educators Rising tells its story to funders, partners, and policymakers.
 
Internship Details:
  • Term: Fall 2026. Ideal start date ~September 1
  • Duration: 8–10 weeks
  • Hours: Approximately 10–15 hours per week
    • $25/hour
    • Need to be able to work at least 5 hours/week during 9am-5pm ET (5 hours flexible and can be aligned on during hiring process)
  • Location: Fully remote, flexible schedule.
    • Need to be physically based in Connecticut, Florida, Georgia, Indiana, Maryland, Michigan, North Carolina, Ohio, Oklahoma, Virginia, Washington DC, or Wisconsin.
  • Structure: Project-based research internship with defined deliverables.
 
Key Responsibilities:
  • Conduct a comprehensive review of Educators Rising data collection practices, systems, and reporting processes to identify gaps and develop a Data Gap Assessment with recommendations for strengthening long-term impact tracking and evaluation.
  • Analyze participation, enrollment, and program data to identify trends, patterns, and opportunities for improvement.
  • Research national and state-level educator workforce data, including teacher shortages, demand projections, and pipeline trends.
  • Explore and propose key indicators related to student demographics, participation, career interests, postsecondary pathways, and workforce outcomes.
  • Review and synthesize publicly available education and workforce datasets to contextualize Educators Rising’s impact
  • Support the development of research briefs, summaries, recommendations, and presentations that translate findings into clear, actionable insights for organizational leadership and external stakeholders.
  • Collaborate with staff and participate in regular project meetings throughout the internship.
 
Qualifications:
Current graduate student or upper-level undergraduate in one of the following or a related field:
  • Data Analytics
  • Education Research
  • Public Policy
  • Statistics
  • Sociology
  • Educational Leadership

Skills needed:
  • Strong research, analytical, and problem-solving skills.
  • Excellent written communication and ability to translate data into clear insights.
  • Strong organizational skills and ability to manage timelines independently.
  • Experience with spreadsheets, survey data, or research tools preferred.
  • Interest in education, workforce development, nonprofit research, or program evaluation strongly preferred.
 
HOW TO APPLY:
To be considered for this role, submit your resume, and cover letter to hr@pdkintl.org with the subject line: Research & Data Analytics Intern. Resumes will be reviewed on a rolling basis.