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Associate In Insurance Data Analytics Jobs in Virginia

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. ...

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Associate In Insurance Data Analytics information

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.

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.

How much does a data analyst make at World insurance Associates?

A data analyst at World Insurance Associates typically earns between $55,000 and $75,000 annually, depending on experience and location. The role often requires proficiency in data analysis tools like Excel, SQL, or Tableau and may involve working with insurance data 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.

Is AI replacing data analysts?

For an Associate in Insurance Data Analytics, AI tools are increasingly used to automate routine data processing and analysis tasks, enhancing efficiency. However, AI does not replace the need for skilled analysts who interpret insights, make strategic decisions, and ensure data quality, making human expertise essential in the role.

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 interpret data, create reports, and support decision-making processes. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and analytics techniques.

What does a data analyst do at an insurance company?

A data analyst in an insurance company collects, processes, and analyzes data related to policies, claims, and customer behavior 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 processes.
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Associate In Insurance Data Analytics jobs near you
Data Analytics Lead/Reporting SME

Data Analytics Lead/Reporting SME

Goldbelt, Inc.

Alexandria, VA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Frontier is committed to providing support for a range of health technology management operations, projects, and services across the government and commercial industries. Frontier collaborates with clients and partners with other businesses to ensure that the right solution with the right people is delivered to meet the client’s needs. Many senior project managers and business analysts are subject matter experts in their respective fields. Frontier understands how to support multiple stakeholders to aid in developing and implementing national policies, strategies, and doctrine. 

Summary:

The Data Analytics Lead/Reporting SME is responsible for leading reporting and analytics operations, developing dashboards, and delivering actionable insights to support data-driven decision-making. This role ensures accurate tracking of performance metrics, including inventory accuracy and SLA compliance, while supporting system-of-record data integrity and operational performance across enterprise asset management systems.


Responsibilities

Essential Job Functions:

  • Develop and maintain:
    • Asset attestation dashboards (ServiceNow-based)
    • Analyze and report on ServiceNow workflow and ticket performance, including SLA compliance, timeliness, and process efficiency
    • Property Custodian reports (quarterly/semiannual)
  • Integrate data across:
    • Asset Management System
    • ServiceNow
    • Enterprise Data Warehouse
  • Lead data quality analysis, validation, and remediation activities to ensure system-of-record accuracy and data integrity across enterprise systems
  • Track and report KPIs including inventory accuracy, SLA compliance, and data completeness
  • Provide leadership and guidance in reporting and analytics activities to ensure consistent, accurate, and actionable outputs
  • Collaborate with stakeholders to translate reporting needs into actionable insights
  • Support continuous process improvement initiatives and compliance with USPTO asset management policies and federal property accountability standards

Qualifications

Necessary Skills and Knowledge:

  • Demonstrate excellent written and verbal communication in interpersonal exchanges
  • Highly organized with great attention to detail

Minimum Qualifications:

  • 5–8+ years of experience in data analytics and reporting in enterprise environments
  • Experience with Tableau, Power BI, or similar platforms
  • Experience integrating data across multiple enterprise systems

Preferred Qualifications:

  • SQL or advanced analytics tools
  • Federal reporting and ServiceNow analytics experience

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Qualifications:

Necessary Skills and Knowledge:

  • Demonstrate excellent written and verbal communication in interpersonal exchanges
  • Highly organized with great attention to detail

Minimum Qualifications:

  • 5–8+ years of experience in data analytics and reporting in enterprise environments
  • Experience with Tableau, Power BI, or similar platforms
  • Experience integrating data across multiple enterprise systems

Preferred Qualifications:

  • SQL or advanced analytics tools
  • Federal reporting and ServiceNow analytics experience

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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