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Insurance Data Analyst Jobs in Oregon (NOW HIRING)

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

OR · On-site

... Data Analyst. This individual will join our Bordereaux Management Product team to help ingest and ... Pet Insurance * Tuition reimbursement * Generous PTO * Flexible work arrangement * Fully stacked ...

... collection and analysis of data * Lead projects related to the compilation, development and ... Benefits Paid time off (PTO)Various health insurance options & wellness plansRetirement benefits ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... We offer a full benefits package, including medical, dental, vision, life insurance, disability ...

OR · On-site

$85K - $100K/yr

The Sr. Analyst, Data Visualization role supports the delivery of one of our most impactful ... insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date.

$110K - $120K/yr

This role is critical to transforming complex operational and financial data into actionable ... Medical, dental, vision, prescription drug coverage, life insurance, disability insurance * 401(k) ...

$110K - $120K/yr

This role is critical to transforming complex operational and financial data into actionable ... Medical, dental, vision, prescription drug coverage, life insurance, disability insurance * 401(k) ...

Job Summary & Responsibilities We are looking for a highly skilled Data Analyst with deep ... From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with ...

Minimum Experience: * 1-3 years of experience in a data-related role (e.g., data analyst, data ... insurance plan options * Health Savings Account and Flexible Spending Accounts * Bi-weekly HSA ...

Data Consultant

$92K - $115K/yr

Bachelor's Degree in Computer Science, Computer Engineering, Data Analytics, or a related field ... Insurance industry experience preferred. Benefits * Medical and Dental coverage available for ...

Clinical Analyst

OR · On-site +1

$70K - $126K/yr

Handles complex data projects and acts as a lead for other Data Analysts. This role blends ... pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus ...

New

OR

$67K - $90K/yr

The ideal candidate has strong analytical skills, enjoys working with data, and is eager to learn ... Other rewards and benefits include: health, vision, and dental insurance, accident and life ...

New

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Showing results 1-20

Insurance Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do insurance data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for insurance data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

How much does an insurance analyst make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills or specialized knowledge can earn higher salaries. They often work with data analysis tools like Excel, SQL, and statistical software in an office environment.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require industry knowledge and analytical skills to improve underwriting, claims management, and pricing strategies.

What are the key skills and qualifications needed to thrive as an Insurance Data Analyst, and why are they important?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an Insurance Data Analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What does an Insurance Data Analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making for insurance policies and claims. They use tools like Excel, SQL, and data visualization software to interpret data and improve underwriting, pricing, and fraud detection processes.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by developing relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career path.
Infographic showing various Insurance Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.
Data Coordination Analyst

Data Coordination Analyst

Maximus

Gresham, OR • On-site

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 293 frontline employees who took The Breakroom Quiz

254th of 449 rated business services


Job description

Description & Requirements

Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex business data into actionable insights that drive decision-making, operational efficiency, and continuous improvement. Working closely with leadership and cross-functional teams, you will analyze data from multiple sources, develop dashboards and reports, identify trends and anomalies, and support the design of innovative reporting and business intelligence solutions.

The ideal candidate combines strong analytical and technical skills with a passion for problem-solving and data storytelling. You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well suited for a detail-oriented professional with 3+ years of related experience who enjoys working with data, collaborating with stakeholders, and delivering insights that support mission-critical federal programs.

Essential Duties and Responsibilities:

  • Build and maintain dashboards, metrics, or reports and identify trends or anomalies.
  • Support new reporting functionality as well as the development and improvement of new reporting.
  • Design new data collection models to better collect information.
  • Consult with leadership to identify data sources, required data elements, or data validation standards.
  • Analyze data sets using statistical techniques. Communicate trends and patterns that enhance the opportunities to the business.
  • Generate reports with market trends past and present.
  • Understand business data needs and design business intelligence solutions to facilitate data gathering, storage, and retrieval.

Additional Duties and Responsibilities:

  • Aggregates and performs statistical analysis on business data based on requests from project teams or senior leadership.
  • Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed.
  • Writes queries or reports to provide data for various analytical projects.
  • Interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement.

Minimum Requirements

  • Bachelor's degree in related field.
  • 3+ years of related experience.
  • Analytical thinking skills.
  • Statistical knowledge and technical expertise.
  • Ability to meet deadlines.
  • Mathematical skills.
  • Project management skills.

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.

Minimum Salary

$

56,000.00

Maximum Salary

$

80,370.00


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