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Insurance Data Analytics Jobs in Idaho (NOW HIRING)

... Insurance, Transportation & Logistics, Energy & Utilities, Healthcare & Life Sciences, Government ... Analytics (Data Architecture, Data Engineering, Data Migration, Data Modernization, Big Data ...

... Insurance, Transportation & Logistics, Energy & Utilities, Healthcare & Life Sciences, Government ... Analytics (Data Architecture, Data Engineering, Data Migration, Data Modernization, Big Data ...

Sr. Product Manager I

Boise, ID ยท On-site

$120K - $158K/yr

... Trade, Analytics, Pricing, Accounting (ABOR/IBOR) , Performance, Risk, Custody data domains is a ... Experience of working in asset management company or insurance firm is helpful. * CFA, FRM cleared ...

Sr. Product Manager I

Boise, ID ยท On-site

$120K - $158K/yr

... Trade, Analytics, Pricing, Accounting (ABOR/IBOR) , Performance, Risk, Custody data domains is a ... Experience of working in asset management company or insurance firm is helpful. * CFA, FRM cleared ...

High School Diploma and 3 years' experience in program analytics and administrative duties ... Ability to coordinate and synchronize scheduling efforts, collect and compile data, analyze ...

High School Diploma and 3 years' experience in program analytics and administrative duties ... Ability to coordinate and synchronize scheduling efforts, collect and compile data, analyze ...

Showing results 41-60

Insurance Data Analytics information

See Idaho salary details

$23

$51

$88

How much do insurance data analytics jobs pay per hour?

As of Sep 3, 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 is insurance data analytics?

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 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.

What are the key skills and qualifications needed to thrive in insurance data analytics?

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.

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 examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

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:

Infographic showing various Insurance Data Analytics job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $107,143 per year, or $51.5 per hour.

Power BI Developer (SQL/Adobe/Data Bricks And Adobe Analytics) :: Remote

CEDENT

Boise, ID โ€ข Remote

$40 - $60/hr

Full-time

Medical, Dental, Vision

Re-posted 12 days ago


Job description

BI DEVELOPER
One of The Select Group's clients is looking for a BI Developer to join their team! This person can sit FULLY REMOTE and will be joining the team to focus on working in Adobe Analytics and Snowflake. We are looking for someone to come in and model data and create dashboards for internal customers to use. If the below sounds like you, please apply! 
BI DEVELOPER REQUIREMENTS 
  • At least 5+ years of BI experience, must have strong SQL skills
  • 70% of this role will be hands-on engineering 
  • Hands-on experience with Power BI
  • Must have experience working in Adobe Analytics
  • Experience with Data Bricks
  • Strong communication and collaboration skills
  • Any experience with Snowflake is highly preferred 
Compensation 
Hourly Rate Range - $40-$60/ hr 
Benefits Offered:
[Health, Dental, Vision Insurance]
Deadline: Applications accepted on a rolling basis until filled
We are an Equal Pay Employer. All employment decisions, including compensation, benefits, hiring, training, and promotions, are made based on merit, qualifications, and business needs. We do not discriminate on the basis of gender, race, ethnicity, age, disability, sexual orientation, or any other protected characteristic. We are committed to ensuring equal pay for equal work and regularly review our compensation practices to promote fairness, equity, and transparency across our organization.

Cedent logo

About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008