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Insurance Data Analytics 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 ...

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

$67K - $89K/yr

Create and maintain analytics reports and dashboards for business stakeholders using modern BI ... Other rewards and benefits include: health, vision, and dental insurance, accident and life ...

Integrate AI/ML models and advanced analytics into production workflows, including predictive ... insurance (or retail auditing equivalent). * Ability to translate business problems into analytical ...

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 ...

Senior Business & Data Analyst

OR · Remote

$100K - $125K/yr

Analytics and Business Intelligence * Conduct advanced data analysis, mining, and trend ... Competitive salary * 100% paid coverage of medical, dental and vision insurance * Flexible PTO

Transform data into well-documented, tested, and trusted datasets for analysis and reporting ... insurance plan options * Health Savings Account and Flexible Spending Accounts * Bi-weekly HSA ...

Leverage data and information to fundamentally alter outcomes for the business * Help evaluate and ... Insurance- Basic, Voluntary, and AD amp;D • Healthcare- Medical, Dental, Vision, and MDLive • ...

OR · On-site

$65K - $81K/yr

The Technical Data Analyst II - Data Governance is responsible for working with data producers ... Other rewards and benefits include: health, vision, and dental insurance, accident and life ...

This collaboration aims to develop business insights, analytics, and reports to meet the needs of ... Pet Insurance * Tuition reimbursement * Generous PTO * Flexible work arrangement * Fully stacked ...

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Showing results 1-20

Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

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.

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.

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

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 most commonly searched types of Insurance Data Analytics jobs in Oregon? The most popular types of Insurance Data Analytics jobs in Oregon are:
Data Coordination Analyst

Data Coordination Analyst

Maximus

Gresham, OR

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 292 frontline employees who took The Breakroom Quiz

243rd of 437 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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