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Remote Insurance Data Analytics Jobs in Boise, ID

Clearwater Analytics

Reconciliation Analyst

Boise, ID · Remote

The Reconciliation Analyst is responsible for comparing investment portfolio data from external ... Competitive medical, dental, vision, and life insurance benefits * Maternity and paternity leave

Better Talent

Senior Revenue Manager (Remote)

Boise, ID · Remote

Analyze pacing, market data, and booking velocity to anticipate opportunities before competitors ... Life Insurance Coverage * Flexible Paid Time Off * Work-from-Home Flexibility * Professional Growth ...

DataAnnotation

Treasury Analyst - AI Trainer

Nampa, ID · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Boise, ID · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Boise, ID

Remote Insurance Data Analytics information

See Boise, ID salary details

$23

$52

$89

How much do remote insurance data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote insurance data analytics in Boise, ID is $52.11, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $59.04 per hour, depending on experience, location, and employer.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do remote insurance data analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are the most commonly searched types of Insurance Data Analytics jobs in Boise, ID? The most popular types of Insurance Data Analytics jobs in Boise, ID are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Boise, ID? For Remote Insurance Data Analytics jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Boise, ID look for? The top searched job categories for Remote Insurance Data Analytics jobs in Boise, ID are:
Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Boise, ID as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 48% In-person, 5% Hybrid, and 47% Remote job distribution, with an average salary of $108,380 per year, or $52.1 per hour.

Reconciliation Analyst

Clearwater Analytics

Boise, ID • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Job Summary:
The Reconciliation Analyst is responsible for comparing investment portfolio data from external sources with an advanced web-based system. Their primary responsibility is to guarantee the prompt and precise delivery of comprehensive portfolio status updates to clients on a daily basis.

Responsibilities:

  • Meet daily deadlines for reviewing and updating reporting data.

  • Investigate and address identified issues within the reconciliation system through problem-solving, seeking support from mentors and department experts as needed.

  • Create and maintain valuable relationships with data providers, clients, and internal stakeholders.

  • Demonstrate curiosity regarding product innovation opportunities.

  • Develop familiarity with and competency in using internal tools and processes.

  • Understand financial concepts and apply them to reconciliation errors.

  • Communicate effectively with internal and external parties to submit inquiries and provide timely updates on relevant issues.

Required Skills:

  • Basic understanding of investment, financial, and accounting concepts.

  • Knowledge of GAAP and/or IFRS will be an added advantage.

  • Basic understanding of standard security types.

  • Securities or financial markets experience preferred.

  • Advanced ability in Microsoft Excel (VLOOKUP, SUMIF, Pivot Tables, VBA, etc.) preferred.

  • Finance and/or accounting experience preferred.

  • Strong computer skills, including proficiency in Microsoft Office.

  • Excellent attention to detail and strong documentation skills.

  • Outstanding verbal and written communication skills.

  • Strong organizational and interpersonal skills.

  • Exceptional problem-solving abilities.

Education and Experience:

  • Bachelor's degree in accounting, Finance, Business, Mathematics, Sciences, or another related field.

What we offer:

  • Business casual atmosphere in a flexible working environment

  • Team focused culture that promotes innovation and ownership

  • Access cutting edge investment reporting technology and expertise

  • Defined and undefined career pathways allowing you to grow your own way

  • Competitive medical, dental, vision, and life insurance benefits

  • Maternity and paternity leave

  • Personal Time Off and Volunteer Time Off to give back to the community

  • RSUs as well as employee stock purchase plan and 401k with match

  • Work from anywhere 3 weeks out of the year

  • Work from home Fridays

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