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Associate In Insurance Data Analytics Jobs in Meridian, ID

Ericsson GmbH

IT Data Analyst

Boise, ID · On-site

Bachelor's degree in Business Analytics, Information Systems, Data Analytics, Computer Science ... Employees will also receive company-paid employee basic life and AD&D insurance and company-paid ...

Ericsson

IT Data Analyst

Boise, ID · On-site

... analytics, data, and AI-enabled solutions. Based in Boise, ID (hybrid, 3 days onsite per week ... Employees will also receive company-paid employee basic life and AD&D insurance and company-paid ...

Albertsons

Manufacturing Analytics Manager

Boise, ID · On-site

Builds organizational capability in data literacy and analytics through training, tools, and ... Associate discounts * Health and financial well-being benefits for eligible associates (Medical ...

Albertsons

Manufacturing Analytics Manager

Boise, ID · On-site

Builds organizational capability in data literacy and analytics through training, tools, and ... Associate discounts * Health and financial well-being benefits for eligible associates (Medical ...

Deloitte

Associate, Analytics and Insights

Boise, ID · On-site

Work you'll do The Product Analyst will support our AI platform product teams by helping define ... Query and validate product data in Snowflake using SQL to answer feature-usage and data-quality ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Meridian, ID

Associate In Insurance Data Analytics information

See Meridian, ID salary details

$3.1K

$6.1K

$8.7K

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

As of Sep 14, 2026, the average monthly pay for associate in insurance data analytics in Meridian, ID is $6,098.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,533.33 and $6,500.00 per month, depending on experience, location, and employer.

What is an 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 are the key skills and qualifications needed to thrive as an associate in insurance data analytics?

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 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.

What job categories do people searching Associate In Insurance Data Analytics jobs in Meridian, ID look for?

The top searched job categories for Associate In Insurance Data Analytics jobs in Meridian, ID are:

Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Meridian, ID as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $73,179 per year, or $35.2 per hour.

Financial Data Analyst

Boise, ID • On-site

Clearwater Analytics
Software Development • 1 - 5K employees
Learn more about Clearwater Analyticsexternal

Full-time

Posted 4 days ago

Job description

The Financial Data Analyst is responsible for monitoring and maintaining asset data for Clearwater's clients. As content experts, FDAs advise internal and external constituents on the proper handling of critical data topics such as security master, reference data, asset classes, corporate actions, cash flows, analytics, pricing, amortization, performance, derivatives, and alternative assets etc.

Responsibilities:

  • Responds promptly and accurately to both internal and external inquiries.

  • Plans, designs, develops, and assesses data elements to ensure quality.

  • Utilizes a combination of manual and automated processes to validate data accuracy.

  • Evaluates data vendors for accuracy, timeliness, and completeness of data.

  • Serves as a content expert in their specialized area of data management.

  • Collaborates with clients and prospects to brainstorm and implement innovative data solutions.

  • Maintains and updates securities data in real-time, ensuring accuracy.

  • Establishes a repository for process documentation, covering workflows not included in standard operating procedures.

  • Performs basic SQL tasks and acquires fundamental SQL skills.

  • Validates investment data by comparing it against third-party market data sources.

  • Nurtures relationships with data providers, clients, and service delivery managers.

  • Contributes to the operational maintenance of reference data products.

  • Develops a foundational understanding of fixed income and equity investments.

  • Reviews and updates procedures to ensure they remain current and effective.

  • Escalates spending queries in a timely manner to address potential issues.

  • Acts as a reliable reference point for assigned tasks, clients, or processes.

  • Ensures compliance with risk and control checks in data management.

  • Analyzes information flow between accounting and custody systems.

  • Develops a working knowledge of corporate bonds and new bond issuance procedures.

Required Skills:

  • Proficiency in advance Excel.

  • SQL skills.

  • Familiarity with technology and tools related to Reference Data.

  • Ability to work independently and collaboratively.

  • Willingness to learn new things and adapt to change.

  • Strong computer skills, including proficiency in Microsoft Office.

  • Excellent attention to detail and strong documentation skills.

  • Outstanding verbal and written communication skills.

  • Strong organizational and interpersonal skills.

  • Exceptional problem-solving abilities.

Education and Experience:

  • Bachelor's or master's degree in Business-related field.

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