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Associate In Insurance Data Analytics Jobs in Boise, ID

Clearwater Analytics

Technical Data Analyst

Boise, ID · On-site

Bachelor's degree in data analytics, statistics, accounting, computer science, or related discipline. * 5+ years of relevant experience in data analytics, reporting, and visualization. * Hands-on ...

Clearwater Analytics

Technical Data Analyst

Boise, ID · On-site

Bachelor's degree in data analytics, statistics, accounting, computer science, or related discipline. * 5+ years of relevant experience in data analytics, reporting, and visualization. * Hands-on ...

Clearwater Analytics

Sr. Technical Data Analyst

Boise, ID · On-site

$81K - $103K/yr

Bachelor's degree in data analytics, statistics, accounting, finance, computer science, or related discipline. * 5+ years of relevant experience in business intelligence, financial/investment ...

Lamb Weston

Technology Data Analyst

Eagle, ID

... Data & Analytics team. This role sits at the intersection of business and technology and is ... Certification in Snowflake (e.g.,SnowPro) and/or SAP (e.g., SAP Certified Application Associate) is ...

Lambweston

Technology Data Analyst

Eagle, ID

... Data & Analytics team. This role sits at the intersection of business and technology and is ... Certification in Snowflake (e.g.,SnowPro) and/or SAP (e.g., SAP Certified Application Associate) is ...

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 ... Certification in Snowflake (e.g., SnowPro) and/or SAP (e.g., SAP Certified Application Associate ...

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

Associate In Insurance Data Analytics information

See Boise, ID salary details

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$8.6K

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

As of Jul 16, 2026, the average monthly pay for associate in insurance data analytics in Boise, ID is $5,987.17, according to ZipRecruiter salary data. Most workers in this role earn between $5,433.33 and $6,383.33 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.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

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 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.

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 analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information 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.
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Associate In Insurance Data Analytics jobs near you
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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