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Associate In Insurance Data Analytics Jobs (NOW HIRING)

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

Data Analyst - Insurance

Austin, TX

$19.75 - $27/hr

Responsibilities Analyze insurance, operational, portfolio, legal, and risk-related data to ... Associate in Risk Management (ARM) or other risk management certification preferred. Qualifications ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital ...

Our culture is rooted in an associate-first philosophy, placing a strong emphasis on the well-being ... Job Summary The Manager, Data Analytics is responsible for leading the organization's data ...

New

Data Analytics Analyst

Glendale, CA · Hybrid

$69K - $103K/yr

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital ...

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... in a variety of benefit programs, generally including health insurance, flexible spending accounts ...

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... in a variety of benefit programs, generally including health insurance, flexible spending accounts ...

You will also mentor analysts on the team, establish best practices in analytics and ... Ensure data integrity, consistency, and accuracy across DTC data sources including ecommerce ...

The candidate is expected to be a self-learner as it relates to new big data analytics technologies • Must have extensive experience and excellent expertise in Java based server-side high ...

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This leader is expected to operate effectively in a matrix environment, balance competing ...

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... in a variety of benefit programs, generally including health insurance, flexible spending accounts ...

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... in a variety of benefit programs, generally including health insurance, flexible spending accounts ...

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Associate In Insurance Data Analytics information

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

As of Jun 25, 2026, the average monthly pay for associate in insurance data analytics in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 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.

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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Posted 23 days ago


Job description

Position: Data Analytics Developer
Location: Addison, IL or Detroit MI
Duration: Full Time
Description:
Data Analytics developer to lead in the development and delivery of enterprise applications to support business strategy and growth. Works with business and technology leaders to understand the enterprise objectives and build capabilities in BI, Reporting & Analytical applications to support Sales, Operations and Shared Services. This role will also be instrumental in advancing client's Advanced Analytics capabilities to lead the industry in the utilization of data to capture market share.
Responsibilities:
Solution Delivery
  • Perform BI solution development activities including requirements gathering, functional design, technical specifications, ETL design & development, unit & integration testing and reports & dashboard development
  • Develop & support backend data model, SSIS ETL and Power BI Analytics & Reporting & Dashboards
  • Review, interpret, and debug complex code. Develop maintainable code via proper structures, comments, and design
  • Generate automated, repeatable and stable processes to support data transformation, data load, data movement, and data synchronizations
Solution Definition, Data Architecture & Strategy
  • Perform source data analysis - data profiling, validation, conceptual and logical data modeling, etc. - to determine the suitability of the source data for meeting the reporting requirements
  • Meet with subject matter experts in different areas of the business, be able to quickly learn the concepts and business language relevant to their line of business, and develop an understanding of how their data supports their business processes
  • Assist in developing the roadmap for Analytics and Advanced Analytics across the company to enable the business strategy

Required Skills:
  • Bachelor's degree in Computer Science, Engineering or Information Systems or related
  • 5+ years of relevant experience in BI Analytics
  • 2+ years developing BI reports and Dashboards in Power BI or equivalent BI tools
  • 2 years of Integration / ETL experience
  • Experience in Advanced Analytics: Optimization, ML and/or Predictive Analytics
  • Experience with ETL techniques and concepts (e.g. - change data capture, slowly changing dimensions, managing exceptions, set based / bulk processing)
  • Experience in data modeling and entity relationship diagram conventions and various data modeling patterns (e.g. - dimensional model, 3rd normal form)
  • Experience with relational databases, including an understanding of SQL Server Database Management Systems (RDBMS) concepts
  • Experience with Microsoft application development
  • Experience with the Agile Methodology
  • Experience in manufacturing/distribution or related industries a plus