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Insurance Data Analytics Jobs in Oregon (NOW HIRING)

Market Access Payor Analyst

OR · Remote

$20 - $27.25/hr

Using data analytics, they derive logical conclusions and forecasts from implementing strategies ... Researches complex benefits and insurance verification using various systems and portals internal ...

Finance Data Platform Specialist

OR · On-site +1

$115K - $130K/yr

... health insurance solutions for those planning for and living in retirement. Associates get ... Gather, analyze, and document business and functional requirements for finance data initiatives.

New

Sr. Fraud BI Analyst

OR · On-site +1

$98K - $144K/yr

Bachelor's Degree in Data Analytics, Data Science or similar field of study OR equivalent ... insurance coverage; health savings, flexible spending, and dependent care accounts; adoption ...

Data Analysis * Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

OR · On-site

You will leverage data analytics, investigation tools, and industry knowledge to identify, mitigate ... Life, STD/LTD, medical, dental and vision insurance * Highly discounted LifeTime gym membership ...

Design, develop, and maintain enterpriselevel data models to support analytics, reporting, and ... From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with ...

Revenue Analytics Manager

OR · On-site +1

$120K - $175K/yr

About the Role We're looking for a Revenue Analytics Manager to join our Business Data ... Comprehensive medical, dental, and vision insurance * Remote-first culture with opportunities for ...

Data Engineer - AI

$101K - $132K/yr

Perform data analysis and identify any issues. * Work with other groups such as Engineering team ... insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 ...

$63K - $84K/yr

Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Engineering ... Life Insurance Annual Salary per location is listed below: $63,300-$84,400=AL, AR, AZ, ID, IN, ME ...

New

Product Ownership (Data Focused) Own and manage the product backlog for Data & Analytics ... Experience working in Enterprise or Regulated environments (Healthcare, Insurance, BFSI)

$140K - $171K/yr

This position leverages account management, data analytics, and commercial knowledge to support and ... insurance and disability, flexible time off, annual Winter Holiday shut down, and at least 11 paid ...

Program and Market Analyst

OR · On-site +1

$70K - $75K/yr

Medical, Dental, and Vision Insurance; we also offer a company-paid health care concierge service ... Bachelor's degree in business, economics, data analytics, engineering, or a related field, or ...

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

... analytics platforms. * Experience within financial services, insurance, or other highly regulated ... Data Vault 2.0 * Dimensional Modeling * Semantic Layer Modeling * Canonical Data Modeling

Credit / AR Analyst

Eugene, OR · On-site

$22 - $27/hr

Associate or bachelor degree in Finance, Accounting, Business, Economics, Data Analytics, or a ... Life Insurance; Short- and Long-Term Disability Insurance; Employee Assistance Program; Online and ...

Showing results 21-40

Insurance Data Analytics information

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.

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 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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 most commonly searched types of Insurance Data Analytics jobs in Oregon?

The most popular types of Insurance Data Analytics jobs in Oregon are:

Infographic showing various Insurance Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 62% Full Time, 33% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Market Access Payor Analyst

Natera

OR • Remote

$20 - $27.25/hr

Full-time

Posted 23 days ago


Natera rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

56th of 120 rated laboratories


Job description

The Market Access Payor Analyst is responsible for profiling, researching, and resolving reimbursement issues for assigned payors, products, or lines of business. This position performs analysis, identifies trends, presents opportunity areas, and prioritizes initiatives for payment and performance improvement. Using data analytics, they derive logical conclusions and forecasts from implementing strategies that can improve business performance.

Primary Responsibilities:

Formulates and develops presentations for project analysis needs from Finance, Billing, Market

Access, Product Leads, and other teams as required.

Identify functions and barriers that affect ASP and revenue including identifying trends,

opportunities, and risks for all payors and products.

Compares payor reimbursement patterns based on medical policies, contract language,

authorization requirements, and patient benefits.

Researches complex benefits and insurance verification using various systems and portals

internal and external.

Investigate designated payors' literature and agencies, and stay current on new indicators, such

as state statutes, laws, and other requirements.

Develops strategies to improve reimbursement and reduce denials for assigned payors based on

trends and analysis findings.

Identifies areas of opportunities for process improvements, automation, and efficiencies.

Creates management reports and custom dashboards & visualizations.

Initiates and supports projects, initiatives, solutions, and other change management.

Conducts complex trend review, forecasting, sensitivity analysis, what-if scenarios, and other

analyses.

Partner with multiple internal cross-functional teams and successfully manage multiple product

projects simultaneously.

Presents information, analysis, updates, financial risks, and recommendations to a specific

audience.

Performs analysis of operational, production, financial, and other data.

Analyzes payor behaviors, systems, and processes in reimbursement to optimize performance.

Ensure data integrity and control over business processes by developing data management best

practices.

Operationalize business intelligence solutions to highlight strengths and opportunities to meet

organizational strategies, objectives, and goals.

Analyze large data sets of structured, semi-structured unstructured data to discover data insights

and collaborate with business partners to deliver business value.

Participates in weekly meetings to review key metrics, workflows, trends, payor performance

improvement opportunities, and strategies.

This role works with PHI regularly both in paper and electronic form and has access to various

technologies to access PHI (paper and electronic) to perform the job.

Qualifications:

Bachelor's Degree healthcare-related field of study or equivalent experience.

Minimum of 5 years of experience in revenue cycle or claim analysis

Project management experience preferred.

Knowledge of CPT/HCPCS. ICD-10, modifier selection, and UB revenue codes.

Knowledge, Skills, and Abilities:

Proficiency with medical or claim billing systems, Microsoft Excel, reporting software, and basic

procedure coding knowledge.

Experience with PowerBi and SQL is desired.

Knowledge of medical terminology and abbreviations, and health care nomenclature and systems.

Strong communication (verbal and written), organizational, problem-solving, and team player

skills.

Knowledge of the appeal process and procedures.

Ability to navigate across multiple customer demands and balance competing priorities

successfully.

Ability to analyze, identify, and articulate identified trends and report trends succinctly clearly, and

concisely.

Ability to independently solve complex problems using critical thinking skills.

Maintains confidentiality of sensitive information.

Analytical skills required.

Ability to develop, implement, and produce complex analyses and reports.

Physical Demands & Work Environment:

Duties are typically performed in a remote office setting. This position requires the ability to use a computer keyboard, communicate over the telephone and read printed material.


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