ZipRecruiter

Log In

1

Insurance Data Analytics Jobs in Oregon (NOW HIRING)

Prodege LLC

OR

$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.

phData

Principal Analytics Consultant (Tableau)

OR · On-site +1

Our consulting services emphasize analytics enablement, data visualization, data preparation, and ... Dental and Vision insurance. * Home Office Equipment Stipend. * Annual stipend for Learning and ...

Imagine Pediatrics

OR · On-site

$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 ...

Hp

Principal Data Solutions Architect

Corvallis, OR · On-site

$147K - $230K/yr

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

BlueLabs, Inc.

OR

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... Premier health insurance plan * 401K matching * Unlimited vacation * Paid sick, personal, and ...

Adswerve, Inc

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

They will be naturally curious about data purity, big data analysis, machine learning, and product ... Voluntary Life Insurance (Employee/Spouse/Child) * Employer Paid Short & Long Term Disability

Amerilife Group, LLC

OR

Job Summary AmeriLife is a national leader in insurance and financial services. Our AI & Data ... Your work will span the full lifecycle - from exploratory analysis through model deployment and ...

Careoregon

OR · On-site

Health insurance * Systems analysis and design * Agile/Scrum methodology Preferred * Data analysis and design * Experience in health care or managed care Knowledge, Skills and Abilities Required ...

Onto

Senior Business Intelligence Analyst

Hillsboro, OR

$104K - $156K/yr

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 ...

Cresta

OR · On-site

$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 ...

Origami Risk LLC

$122K - $154K/yr

This role translates data into insights that drive product decisions, operational excellence, and ... Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic ...

Amerit Fleet Solutions

$110K - $120K/yr

Medical, dental, vision, prescription drug coverage, life insurance, disability insurance * 401(k) ... Reconcile data across multiple systems (repair order systems, telematics, BI/analytics platforms ...

Amerit Fleet Solutions

$110K - $120K/yr

Medical, dental, vision, prescription drug coverage, life insurance, disability insurance * 401(k) ... Reconcile data across multiple systems (repair order systems, telematics, BI/analytics platforms ...

Origami Risk LLC

Data Engineer

$97K - $122K/yr

... insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a ... Collaborates with analytics teams to ensure data availability and quality for reporting and machine ...

next page

Showing results 1-20

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Oregon

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:
What are popular job titles related to Insurance Data Analytics jobs in Oregon? For Insurance Data Analytics jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Oregon look for? The top searched job categories for Insurance Data Analytics jobs in Oregon are:
Insurance Data Analytics jobs near you
Data Science Analyst, Senior

Data Science Analyst, Senior

Health Share of Oregon

Portland, OR • On-site

$91K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Data Science Analyst, Senior
This position is responsible for proactively identifying opportunities and developing algorithms, models, data structures and data products to facilitate production of insights from healthcare claims, enrollment, housing, social needs and other related data. The core function of this position is to work directly with subject-specific program management to plan and lead efforts to translate complex data into meaningful information and analytic plans for decision makers. Focus areas include cost and utilization of health and housing services, financial trending, member outcomes, and provider performance. In addition, the position is responsible for ensuring the completeness and integrity of analysis and collaborating across departments within a multi-function, mission critical environment. This position is also responsible for training and mentoring other analysts and staff in the organization and acts as subject matter expert for their domain.
This is a hybrid position with the expectation to be in the office 1-2 day per week. We are looking for candidates in the Portland Metro area.
Estimated Hiring Range:
$126,675.00 - $154,825.00
Essential Responsibilities
  • Lead in the development of research methods and data analysis plans related to healthcare utilization, cost trends, financial forecasting, member outcomes, program evaluation, and provider performance.
  • Lead and direct efforts for complex analysis projects, such as building models, algorithms, data products, analysis plans etc.; expertly manage needs of business owners, cross-functional team relationships and set appropriate expectations to provide data-driven solutions; summarize and communicate outcomes of analysis projects.
  • Expertly use appropriate software tools to retrieve, edit and tabulate data from various databases and files.
  • Conduct descriptive and predictive analyses and the application of machine learning to forecast future outcomes.
  • Conduct appropriate statistical tests
  • Lead in the summarization of complex data for leadership in the appropriate form (e.g., statistical summaries, narratives, charts, tables, graphs, etc.) to convey meaning, significance, and actionable information.
  • Identifies trends and patterns in complex data sets
  • Lead in the research and development of models, algorithms, and analysis tools (including artificial intelligence) to mature the use and creation of data products at Health Share of Oregon.
  • Develop visual reporting (e.g., dashboards, scorecards, etc.) using data visualization tools such as Tableau and/or PowerBI when appropriate.
  • Develop appropriate subject matter, domain expertise and serve as an expert resource.
  • Collaborate with other subject matter experts to identify opportunities for building repeatable data products.
  • Collaborate with business teams to understand business needs and to illicit and document requirements for analytics, algorithms, models, etc.
  • Lead in the review and assessment of data completeness, validity, and reliability used for analysis and reporting.
  • Create and maintain technical documentation such as data dictionaries, business glossaries, metric definitions, and other data resources.
  • Actively participate in community of practice to improve the skills and capabilities of other analysts at Health Share.
  • Train and mentor other analysts in the organization.
  • Assist with, prepare, and/or deliver presentations to community groups, regulatory agencies, leadership, and other teams as needed.
  • Stays up-to-date with latest technology trends and techniques in data science

Experience and/or Education
Required
  • Minimum 5 years' experience in an analyst role; experience should include the following:
  • Advanced skills with statistical software packages, such as Python, R, or SAS
  • Proficient in analytical techniques including segmentation and data mining
  • Experience planning, implementing, and summarizing complex analysis and reporting projects
  • Experience with building reusable models, algorithms, and data structures
  • Experience in the healthcare or health insurance industry
  • Engaging both technical and non-technical stakeholders

Preferred
  • Master or bachelor's degree in STEM, Finance, Economics, Business Administration or Public Health
  • Experience with artificial intelligence tools and machine learning, including clustering algorithms, decision tree learning, artificial neural networks, etc.
  • Experience merging and analysis complex data sets to draw impactful insights, including health, housing, criminal justice, financial and/or social needs data

Knowledge, Skills and Abilities Required
Knowledge
  • Understanding of data warehousing and data structures
  • Knowledge of Agile development processes
  • Strong knowledge of and experience with databases (T-SQL etc.)

Skills and Abilities
  • Skilled in at least one healthcare data domain (e.g., medical claims, pharmacy claims, dental claims, clinical data, housing data, etc.)
  • Skills with Business Intelligence applications, such as Tableau or Power BI Desktop/Creator
  • Highly skilled with statistical analysis software
  • Excellent critical thinking and problem-solving skills
  • Strong spoken, written, and listening communication skills
  • Ability to develop advanced T-SQL queries to independently gather, compile and analyze data using statistical methods and ability to guide and coach junior team members in this area, as needed
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Ability to effectively synthesize and present actionable interpretations of complex information to internal and external stakeholders
  • Ability to manage expectations and relationships with diverse stakeholder groups and cross functional teams
  • Ability to provide leadership and oversight of research and analytical projects and their associated project plans
  • Ability and willingness to continually learn new skills
  • Ability to manage multiple tasks concurrently
  • Ability to work effectively with diverse individuals and groups
  • Ability to learn, focus, understand, and evaluate information and determine appropriate actions
  • Ability to accept direction and feedback, as well as tolerate and manage stress
  • Ability to see, read, and perform repetitive finger and wrist movement for at least 8 hours/day
  • Ability to hear and speak clearly for at least 3-6 hours/day

Current Health Share Employees: Please use the internal Workday site to submit an application for this job.
We offer a strong Total Rewards Program. This includes competitive pay, bonus opportunity, and a comprehensive benefits package. Eligibility for bonuses and benefits is dependent on factors such as the position type and the number of scheduled weekly hours. Benefits-eligible employees qualify for benefits beginning on the first of the month on or after their start date. Health Share offers medical, dental, vision, life, AD&D, and disability insurance, as well as health savings account, flexible spending account(s), lifestyle spending account, employee assistance program, wellness program, discounts, and multiple supplemental benefits (e.g., voluntary life, critical illness, accident, hospital indemnity, identity theft protection, pre-tax parking, pet insurance, 529 College Savings, etc.). We also offer a strong retirement plan with employer contributions. Benefits-eligible employees accrue PTO and Paid State Sick Time based on hours worked/scheduled hours and the primary work state. Employees may also receive paid holidays, volunteer time, jury duty, bereavement leave, and more, depending on eligibility. Non-benefits eligible employees can enjoy 401(k) contributions, Paid State Sick Time, wellness and employee assistance program benefits, and other perks. Please contact your recruiter for more information.
We are an equal opportunity employer
Health Share is an equal opportunity employer. The organization selects the best individual for the job based upon job related qualifications, regardless of race, color, religion, sexual orientation, national origin, gender, gender identity, gender expression, genetic information, age, veteran status, ancestry, marital status or disability. The organization will make a reasonable accommodation to known physical or mental limitations of a qualified applicant or employee with a disability unless the accommodation will impose an undue hardship on the operation of our organization.

Apply