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Insurance Data Analytics Jobs in Idaho (NOW HIRING)

Lambweston

Technology Data Analyst

Eagle, ID

... Data & Analytics team. This role sits at the intersection of business and technology and is ... Health Insurance Benefits - Medical, Dental, Vision * Flexible Spending Accounts for Health and ...

Lamb Weston

Technology Data Analyst

Eagle, ID · On-site

... Data & Analytics team. This role sits at the intersection of business and technology and is ... Health Insurance Benefits - Medical, Dental, Vision * Flexible Spending Accounts for Health and ...

Lamb Weston, Inc.

Technology Data Analyst

Eagle, ID · On-site

... Data & Analytics team. This role sits at the intersection of business and technology and is ... Health Insurance Benefits - Medical, Dental, Vision * Flexible Spending Accounts for Health and ...

Lamb Weston

Technology Data Analyst

Eagle, ID · On-site

... Data & Analytics team. This role sits at the intersection of business and technology and is ... Health Insurance Benefits - Medical, Dental, Vision * Flexible Spending Accounts for Health and ...

ICCU

Department Data Analyst

Chubbuck, ID · On-site

... the analytics for a specific department, such as Digital Experience, Risk Management, Lending ... Medical, Dental, & Vision Insurance * Generous Paid Time Off * 11 Paid Holidays * Matching 401K AND ...

Clearwater Analytics

Data Migration Specialist

Boise, ID · On-site

$60K - $85K/yr

Data Migration Specialist The Data Migration Specialists play a crucial role in enhancing our ... STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action ...

Clearwater Analytics

Data Migration Specialist

Boise, ID · On-site

$60K - $85K/yr

The Data Migration Specialists play a crucial role in enhancing our system's automation, speed ... STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action ...

Clearwater Analytics

Data Migration Specialist

Boise, ID · On-site

$60K - $85K/yr

The Data Migration Specialists play a crucial role in enhancing our system's automation, speed ... STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Idaho

Insurance Data Analytics information

See Idaho salary details

$23

$51

$88

How much do insurance data analytics jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for insurance data analytics in Idaho is $51.51, according to ZipRecruiter salary data. Most workers in this role earn between $41.39 and $58.37 per hour, depending on experience, location, and employer.

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

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Idaho? The most popular types of Insurance Data Analytics jobs in Idaho are:
What are popular job titles related to Insurance Data Analytics jobs in Idaho? For Insurance Data Analytics jobs in Idaho, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Idaho look for? The top searched job categories for Insurance Data Analytics jobs in Idaho are:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Idaho as of June 2026, with employment types broken down into 5% As Needed, 74% Full Time, 15% Part Time, 3% Temporary, and 3% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,143 per year, or $51.5 per hour.
Risk Adjustment Analyst - Health Plan

Risk Adjustment Analyst - Health Plan

St. Luke's Health System

Boise, ID • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

St. Luke's Health System (Idaho) rating

7.6

Company rating: 7.6 out of 10

Based on 207 frontline employees who took The Breakroom Quiz

189th of 875 rated healthcare providers

Job description

Description & Requirements
The Risk Adjustment Analyst serves as a strategic partner to the business segments within the St. Luke's Health Plan. In alignment with identified strategies and tactics, leads the development of business processes and delivery of insights and health insurance data analysis, while working with cross-functional stakeholders.
This role is specifically for a Risk Adjustment Analyst to bring their knowledge, technical skills, and experience in risk adjustment for QHP/ACA and Medicare Advantage to the St. Luke's Health Plan.
What You Can Expect:
  • Analyzes and interprets health insurance data, including eligibility, premium, medical, and pharmacy claims data. Subject matter expert on available health insurance data. A creative problem solver in applying that data to identify, escalate, and resolve operational issues.
  • Understands and interprets operational processes and business context to translate technical, clinical, financial, and operational problems into analysis, which yield insights and information to support decision making.
  • Expertise with health insurance regulatory programs and requirements, as well as associated data, including HEDIS/quality programs, risk adjustment, and utilization management.
  • Performs high value health insurance data analysis, interpretation of key business metrics, and presents insights to business leaders and key stakeholders to aid decision making and operational planning.
  • Challenges and supports business decisions with analytical rigor, insights, and judgments to drive better decisions.
  • Partners with internal Data & Analytics team to define scope, requirements, data validation, and provide prioritization input on requests and needs. Collaborates with vendors and other external parties to develop data requirements and ensures appropriate data validation and integrity.
  • Works with and contributes to data management and data governance to understand and help define data policies and standards to ensure high quality data and analytics.
  • Develops and maintains a high degree of functional, analytical, and technical acumen. Builds successful partnerships with key internal customers and cross functional teams.
  • Responsible for and performs all but the most complex assignments and work requiring independent judgment and decision making. Serves as a subject matter expert for colleagues in other functions.
  • Leads special projects and participates on workgroups and teams, as assigned.
  • Completes other duties and responsibilities as assigned.

Qualifications:
  • Education: Bachelor's degree or experience in lieu of degree
  • Experience: Six (6) years' relevant experience

Preferred Qualifications:
  • Experience in QHP/ACA and Medicare Advantage Risk Adjustment Analytics
  • Experience in MA Encounter Data Submission
  • Experience in EDGE Server Data Submission
  • Strong skills in SQL
  • Knowledge of HEDIS and Stars a plus

What's In It For You
At St. Luke's, caring for people in the communities we serve is our mission - and this includes our own SLHS team. We offer a robust benefits package to support our teams both professionally and personally. In addition to a competitive salary and retirement plans, we ensure our team feels supported in their benefits beyond the typical medical, dental, and vision offerings. We care about you and have fantastic financial and physical wellness options, such as: on-site massages, on-site counseling via our Employee Assistance Program, access to the Personify Health Wellness tool, as well as other formal training and career development offerings to ensure you are meeting your career goals.
St. Luke's is an equal opportunity employer and does not discriminate against any person on the basis of race, religion, color, gender, gender identity, sexual orientation, age, national origin, disability, veteran status, or any other status or condition protected by law.
*Please note: this posting is not reflective of all job duties and responsibilities and is intended to provide an overview to job seekers.

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