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Insurance Data Analytics Jobs in Oregon (NOW HIRING)

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.

Data Scientist

OR · On-site +1

$135K - $160K/yr

Independently query Snowflake and prepare data for exploratory data analysis and modeling * Create ... Competitive medical, dental, and vision insurance * Healthcare and Dependent Care FSA; Company ...

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 ...

... insurance, HSA, FSA, 401(k) with company match, PTO & Bonus Leave, 11 paid federal holidays ... Bachelor's degree in MIS, IT, Business, Data Analytics, or related field. * Experience with federal ...

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 ...

... are data analytics. The Senior Actuarial Analyst works with a team of actuaries to assure a ... About WellSense WellSense Health Plan is a nonprofit health insurance company serving more than 740 ...

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

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 ...

Showing results 21-40

Insurance Data Analytics information

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 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, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Finance Data Platform Specialist

Amerilife Group, LLC

OR • On-site, Remote

$115K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Key responsibilities

  • Support the implementation, enhancement, and ongoing operation of AmeriLife's Finance Data Platform.

  • Perform data validation, reconciliation, and functional testing to ensure data accuracy and compliance with business rules.

  • Collaborate with Data Engineers, Data Architects, and business stakeholders to clarify requirements and validate solutions.


AmeriLife rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

94th of 315 rated insurance


Job description

Our Company

Explore how you can contribute at AmeriLife.

For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement.

Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry.

Job Summary

The Finance Data Platform Specialist supports the implementation, enhancement, and ongoing operation of AmeriLife's Finance Data Platform, working closely with Finance, Accounting, Data Engineering, Data Architecture, and business stakeholders.
The role focuses on finance-related data domains including commissions, banking, general ledger (GL), financial reporting, attribution, reconciliations, policy administration, and reference data. The ideal candidate possesses strong analytical skills, experience with enterprise financial systems, and the ability to get technical with data analysis, strong in SQL and problem solving.

Job Description

Key Responsibilities

  • Gather, analyze, and document business and functional requirements for finance data initiatives.
  • Prepare user stories, business rules, process flows, functional specifications, and acceptance criteria.
  • Support initiatives involving commissions, banking, general ledger (GL), financial reporting, attribution, reconciliations, policy administration, and enterprise finance data.
  • Work closely with Data Engineers and Data Architects to clarify business requirements and validate implemented solutions.
  • Perform data validation, reconciliation, and functional testing to ensure data accuracy and business rule compliance.
  • Coordinate and support User Acceptance Testing (UAT), defect tracking, and production validation.
  • Assist with troubleshooting production issues, performing functional analysis, and validating issue resolution.
  • Support data mapping, reference data, hierarchies, metadata, and business glossary activities.
  • Maintain functional documentation, process documentation, and operational procedures.
  • Participate in platform enhancements, process improvements, and release activities.
  • Collaborate with Data Governance teams to support data quality, metadata, and business definitions.
  • Utilize SQL to analyze, validate, and troubleshoot enterprise finance data.

Required Qualifications

  • Bachelor's degree in Information Systems, Computer Science, Business, Finance, Accounting, or a related discipline.
  • 5+ years of experience supporting enterprise finance applications, finance data platforms, or financial systems.
  • Experience with commissions, banking, general ledger (GL), financial reporting, attribution, reconciliations, or similar finance processes.
  • Experience gathering and documenting business and functional requirements.
  • Experience supporting User Acceptance Testing (UAT) and production implementations.
  • Strong SQL skills for data analysis and validation.
  • Excellent analytical, problem solving, and communication skills.
  • Ability to collaborate effectively with both business and technical teams.

Preferred Qualifications

  • Experience with Financial Data Management (FDM) or comparable enterprise finance platforms.
  • Experience with Databricks, Azure, SQL Server, or modern cloud data platforms.
  • Familiarity with enterprise data warehousing, dimensional modeling, and data integration.
  • Experience with Agile delivery methodologies.
  • Experience within financial services or insurance.

Compensation

  • Salary Range: $115,000 - $130,000
  • Salary offers will varycommensuratewith experience, education, skills, and training

What AmeriLife Offers

A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.

Equal Employment Opportunity Statement

We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. We are committed to providing an inclusive, equitable, and respectful workplace where all employees can thrive.

Americans with Disabilities Act (ADA) Statement

We are committed to full compliance with the Americans with Disabilities Act (ADA) and all applicable state and local disability laws. Reasonable accommodations are available to qualified applicants and employees with disabilities throughout the application and employment process. Requests for accommodation will be handled confidentially. If you require assistance or accommodation during the application process, please contact us at HR@AmeriLife.com.

Pay Transparency Statement

We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay range for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request.

Background Screening Statement

Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history check, and other job-related inquiries, as permitted by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be notified and given an opportunity to respond.


What AmeriLife employees say

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