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Insurance Data Analytics Jobs in Idaho (NOW HIRING)

Weiser Memorial Hospital

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Guaranteed life insurance * Employee Assistance Program * Voluntary Air St. Luke's Membership ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or a ...

Weiser Memorial Hospital

Data Analyst

Weiser, ID

$75K - $90K/yr

Guaranteed life insurance * Employee Assistance Program * Voluntary Air St. Luke's Membership ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or a ...

Weiser Memorial Hospital

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Guaranteed life insurance * Employee Assistance Program * Voluntary Air St. Luke's Membership ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or a ...

Lamb Weston

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 ...

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, 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 ...

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 ...

Harris Company

Facility Data Analyst

Blackfoot, ID · On-site +1

$56K - $85K/yr

As a Facility Data Analyst , you will work to support the development and deployment of cutting ... Harris Benefits + Compensation Medical, dental, vision, and life insurance 401K with company match ...

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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Insurance Data Analytics information

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$23

$51

$88

How much do insurance data analytics jobs pay per hour?

As of Jul 16, 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?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

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.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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 July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $107,143 per year, or $51.5 per hour.
Senior Healthcare Data Analyst - St. Luke's Health Plan

Senior Healthcare Data Analyst - St. Luke's Health Plan

St. Luke's Health System

Boise, ID • On-site

$81K - $103K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago

St. Luke's Health System (Idaho) rating

7.6

Company rating: 7.6 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers

Job description

Description & Requirements
At St. Luke's, we pride ourselves on fostering a workplace culture that values diversity, promotes collaboration, and prioritizes employee well-being. Our commitment to excellence in patient care extends to creating an environment where our team can thrive both personally and professionally. With opportunities for growth, competitive benefits, and a supportive community of colleagues, St. Luke's is truly a great place to work.
The Senior Healthcare Data 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.
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:
  • Two (2) or more years' experience in a role analyzing health insurance data focused on measuring utilization or financial outcomes
  • Two (2) or more years' experience using SQL to manipulate and analyze health insurance data
  • Advanced proficiency in Excel, with experience using functions like INDEX, MATCH, and SUMPRODUCT

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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