1

Associate In Insurance Data Analytics Jobs in Meridian, ID

Data Analyst V

Boise, ID · Remote

$130K/yr

... digital analytics, behavioral, and operational data) across end-to-end customer journeys to ... in SQL 5 Strong skills in Python Pandas and data structures 6 Experience with data modeling ...

Strategic Planning Analyst Senior

Boise, ID · On-site

$74K - $92K/yr

... in data analytics tools, including data visualization. * Proficient in financial and operations ... Our people-centered approach to associate experience and engagement is rooted in our Core Values.

Sr Analyst, Data Platform Engineering

Boise, ID · On-site

$81K - $103K/yr

The Senior Analyst plays a lead role in enabling AI applications such as Claude and ChatGPT across ... Data Pipeline & Ingestion Engineering Designs, builds, and maintains data pipelines that ingest ...

As an experienced Clinical Data AMS Senior Consultant you will have the ability to share new ideas ... analysis (RCA) for recurring incidents and implement corrective and preventive actions in ...

Showing results 41-60

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:

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.

Lead Client Servicing Associate - Asset Managment

Boise, ID • On-site

Clearwater Analytics
Software Development • 1 - 5K employees

Full-time

Posted 19 days ago


Job description

As a Lead Client Servicing Associate in Clearwater's Strategic and Large Asset Management (SLAM) division, you will be a trusted partner to some of Clearwater's largest, most sophisticated, and fastest-evolving clients - spanning both asset management and insurance verticals.
You will own day-to-day client relationships across complex portfolios, multi-entity structures, and bespoke reporting requirements, while gaining broad exposure to Clearwater's platform including PRISM, Enhanced Statements, Income Forecast Tool, Fund Accounting, Recon Insight, and BOS workflows.
This role suits someone who wants to grow at the intersection of client partnership, investment operations, product knowledge, and process innovation - working across Alternatives, Reconciliation, Product, Billing, Sales, and Global Delivery to deliver a seamless client experience.
You will also leverage AI-enabled tooling to streamline processing, accelerate resolution, and identify scalable process improvements.
Key Responsibilities
  • Serve as primary point of contact for client inquiries across investment accounting, reporting, reconciliation, platform usage, and operational workflows.
  • Manage day-to-day servicing across multiple client entities with strong execution, follow-through, and clear communication.
  • Investigate and resolve issues using Clearwater front- and back-office tooling.
  • Perform operational activities: account setup, month-end lockdowns, reconciliations, compliance tasks, and investment data validation.
  • Navigate complex environments - multi-custodian, multi-portfolio, multi-currency - with a focus on data quality and auditability.
  • Support client projects including onboarding, portfolio transitions, custom reporting, and process improvement initiatives.
  • Identify trends, recurring issues, and product gaps; contribute to documentation and scalable best practices.

What You Will Build in This Role
  • Project oversight - coordinating workstreams, managing action items, and driving delivery across stakeholders.
  • Relationship management - building credibility with sophisticated clients as a dependable day-to-day partner.
  • Cross-functional leadership - solving problems and moving initiatives forward across servicing, recon, product, delivery, billing, and sales.
  • Commercial awareness - understanding how servicing excellence drives retention, growth, and client strategy.
  • Platform breadth - broader Clearwater tool exposure than most traditional servicing roles.

Qualifications
  • Bachelor's degree in Finance, Accounting, Economics, Business, or equivalent experience.
  • 2+ years of directly applicable experience (reconciliation, accounting, or finance).
  • Excellent attention to detail, documentation, and organizational skills.
  • Strong communicator with confidence engaging a broad range of stakeholders.
  • Strong ownership mindset and instinct for delivering excellent client outcomes.
  • Comfortable in a fast-paced, high-expectation environment where priorities evolve quickly.
  • Experience supporting large institutional clients strongly preferred.
  • Proficiency in Microsoft Office (Excel); Salesforce experience preferred.
  • Familiarity with AI applications and Salesforce CRM preferred.