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Associate In Insurance Data Analytics Jobs in Idaho

$90K - $180K/yr

... paid life insurance -Paid time off benefits include PTO, parental leave, family care leave ... Live Better U is a company paid education benefit program for full-time and part-time associates in ...

$90K - $180K/yr

Live Better U is a company paid education benefit program for full-time and part-time associates in ... Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

... Data Analysis, Reporting & Presentation General Program Support SKILLS AND ABILITIES REQUIRED ... Associates degree in a science related field; Strong attention to detail and ability to work with ...

Senior HR Business/Data Analyst

Eagle, ID · On-site

$86.50K - $109.90K/yr

Required : • Bachelor's degree required in Human Resources, Data Analytics, Business, I/O Psychology, or related field. • 3-5 years of experience in HR Analytics, workforce analytics, HRIS ...

Senior HR Business/Data Analyst

Eagle, ID · On-site

$86.50K - $109.90K/yr

Required : • Bachelor's degree required in Human Resources, Data Analytics, Business, I/O Psychology, or related field. • 3-5 years of experience in HR Analytics, workforce analytics, HRIS ...

EHSS 1

Boise, ID · On-site

... Data Analysis, Reporting & Presentation • General Program Support SKILLS AND ABILITIES REQUIRED: • Associates degree in a science related field; Strong attention to detail and ability to work ...

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Associate In Insurance Data Analytics information

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 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 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 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 popular job titles related to Associate In Insurance Data Analytics jobs in Idaho? For Associate In Insurance Data Analytics jobs in Idaho, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Idaho look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Idaho are:
What cities in Idaho are hiring for Associate In Insurance Data Analytics jobs? Cities in Idaho with the most Associate In Insurance Data Analytics job openings:
Nuclear Data Scientist

Nuclear Data Scientist

Idaho National Laboratory

Idaho Falls, ID • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

12th of 103 rated laboratories


Job description

At Idaho National Laboratory, you'll analyze data and generate results across cloud, on-premises, and edge-based computational architectures, apply technologies including explainable AI, large language models, and physics-informed machine learning, and develop software including 3D visualization tools, parallel software, and web API solutions in support of research objectives. You'll work with domain experts to understand the scope of questions data can answer, design output metrics that describe system behavior, collaborate with government agencies, academia, and industry partners, and publish results in peer-reviewed journals and conference proceedings.

Essential Job Functions and Responsibilities:

  • Apply nuclear engineering domain knowledge to identify opportunities for machine learning and data-driven analysis within nuclear systems, operations, or research programs.
  • Support the development, validation, and interpretation of ML models and data pipelines in the context of nuclear applications.
  • Collaborate with data science teams to translate nuclear engineering requirements into analytical frameworks.
  • Assist in the evaluation of model outputs using nuclear domain expertise to ensure physical accuracy and operational relevance.
  • Contribute to technical documentation, reports, and presentations related to ML-assisted nuclear engineering efforts.
  • Lead efforts in writing journal articles, conference proceedings, etc.
  • Ability to coherently present complex materials to a wide audience.
  • Work under general supervision on defined tasks with moderate complexity.
  • Analyze data and generate results in response to data analytics, visualization, and modeling needs on a variety of computational architectures (cloud, on-premises, edge-based).
  • Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-informed machine learning, systems performance analysis, and/or data sensor fusion methodologies.
  • Work with a multi-disciplinary team of scientists and engineers on challenging work scopes.
  • Demonstrate effective research skills and the ability to collaborate and partner with other government agencies, academia, and private sector companies to achieve project goals.
  • Publish results of research and development in a mix of refereed publications and conference proceedings.
  • Work effectively with other research teams to develop and manage cross-cutting technical programs for a variety of customers.
  • Develop and maintain notebooks, software, and/or applications.
  • Work with software and database developers to develop, test, and deploy software code to development, staging, and production environments.
  • Develop software for custom solutions, including but not limited to, 3D visualization tools, parallel software, batch scripting, and web API interaction/development.
  • Analyze data quality, characterize, and communicate data quality issues to data providers, and design repeatable data processing procedures to accurately analyze data in the presence of quality issues.
  • Work with domain experts to understand the scope and limits of questions that can be answered by data sets, identify key data features as inputs to analysis, and design output metrics that elegantly describe system attributes and behavior.
  • Employ specialized methods and state-of-the-art data analysis and modeling tools to support INL's mission by ensuring the nation's safe, competitive, and sustainable use of engineered systems in many domains by applying capabilities to impactful issues in risk, reliability, and operational performance.
  • Adhere to INL policies and lab-wide procedures related to software development, cybersecurity, and management of sensitive information and data.
  • Work with data providers, database administrators, and software developers to diagnose and solve problems with data and software systems quickly and effectively.


 

Required:

  • Level 2: An advanced degree in data science, nuclear engineering, or related technical discipline.
  • Working familiarity with machine learning concepts, data analysis tools, or scientific computing (e.g., Python, R).
  • Ability to interpret and communicate data-driven results within a nuclear engineering context
  • This position requires the ability to obtain and maintain a DOE level 'Q' clearance, requires US Citizenship.


 

The ideal candidate will possess:

  • Master's degree (with 3+ years of experience) or PhD degree (with 0+ years) in Nuclear Engineering or closely related field
  • Experience with nuclear simulation codes (e.g., MCNP, SCALE, RELAP, MOOSE).
  • Exposure to supervised/unsupervised learning techniques or data visualization tools.
  • Ph.D. in Nuclear Engineering or related discipline.
     


 

Physical Requirements:

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard and type, reach with hands and arms, and operate job related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Information:

We are seeking a Level 2 Nuclear Engineer with expertise in connecting nuclear engineering concepts with data science and machine learning tools. The ideal candidate is first and foremost a nuclear engineer with working knowledge of data science methodologies beneficial; someone who can bridge the gap between nuclear domain expertise and computational analysis without needing to be a dedicated data scientist. Our team works a 9x80 schedule located out of our Research and Education Campus in Idaho Falls with every other Friday off. 

  • The pay range for this position is $79,344 - $162,732. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
  • TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.

Benefits and Relocation

  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.

INL Mission:

Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision:

Our vision is to change the world's energy future and secure our nation's critical infrastructure.

Selective Service Requirements:

To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.

Equal Employment Opportunity:

Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Reasonable Accommodation:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Other Information:

When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

INL does not accept resumes from third party vendors unsolicited.

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About Idaho National Laboratory

Sourced by ZipRecruiter

Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

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