Data Science Analyst Visa Sponsorship Jobs in Oregon
Oregon's data science analyst job market centers on Portland's growing tech sector, with employers like Nike, Intel, and a cluster of health tech firms in the metro area actively hiring. Corvallis and Eugene add university-driven research demand. Many of these employers have established H-1B visa sponsorship track records for quantitative and analytical roles.
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About Moda
Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we’re focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let’s be better together.
Position Summary
The Data Science BSA gathers and documents business requirements for the Enterprise Data Warehouse (EDW), including processes, system flows, and functional designs for break-fixes, upgrades, vendor implementations, and product enhancements. This position analyzes existing systems, designs new systems, and evaluates requirements and specifications throughout the software development lifecycle, including testing and implementation for projects with significant departmental or organizational impact. This is a FT WFH position.
Pay Range
$71,906.46 - $93,480.50 annually (depending on experience).
- This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range.
Benefits:
- Medical, Dental, Vision, Pharmacy, Life, & Disability
- 401K- Matching
- FSA
- Employee Assistance Program
- PTO and Company Paid Holidays
Required Skills, Experience & Education:
- 8+ years of experience in technical or business analysis, including at least 5 years as a Business Systems Analyst. Experience with data teams or data warehouses and familiarity with health insurance administration or clinical/operational healthcare are preferred.
- Experience building and/or maintaining data dictionaries with demonstrated procedural and technical writing skills.
- 2+ years of experience supporting analytical and reporting use-cases involving large datasets and/or data warehouses.
- Ability to read, write, and execute SQL statements.
- Experience with SQL Server and cloud-based data warehouses such as Snowflake, Microsoft Synapse/Fabric, BigQuery, Redshift, or Databricks preferred.
- Expert facilitation skills for both large and small group meetings or working sessions.
- Proven critical thinking, time management, and problem-solving skills.
- Ability to work collaboratively in a production support team and independently with minimal supervision.
- Ability to work well under pressure in a fast-paced environment with frequent interruptions and shifting priorities while managing multiple assignments.
- Strong organizational skills with the ability to plan, prioritize, and meet deadlines.
- Effective verbal and written communication skills with internal and external partners and stakeholders of varying technical skill levels.
Preferred Skills, Experience & Education:
- Ability to work with at least one additional language on top of SQL, such as SAS, R, or Python.
- Familiarity with modern data transformation tools such as dbt or Coalesce preferred.
Primary Functions:
- Model best practice requirements engineering for all aspects of the development lifecycle activities, including elicitation, analysis, and prioritization of functional and non-functional requirements.
- Mentor and support junior analysts to ensure alignment with enterprise architecture and strategic objectives.
- Partner with business and technical leadership to define, validate, and approve detailed functional specifications and acceptance criteria for high-impact initiatives.
- Proactively identify and source potential Data Science projects based on organizational priorities and EDW capabilities.
- Author and review technical documentation for enterprise-level systems, ensuring compliance with Data Science standards and influencing documentation best practices.
- Lead the development of business cases, contingency plans, business metrics and measurements, process models, training materials, new procedures, test scripts, ad-hoc reports, and smart solutioning for process improvements.
- Participate in the review and approval of system designs, logical data designs, report designs, interface designs, and conversion plans. Review and approve high-level data flows, functional specifications, and implementation plans. Suggest design alternatives as appropriate.
- Develop, document, and implement test plans, scenarios, and outcomes following Data Science standards to ensure stakeholder requirements are met.
- Perform post-implementation quality assurance and troubleshooting, ensuring adequate documentation following department standards.
- Coordinate and collaborate with IT and Corporate project managers on projects involving the EDW.
- Provide training and communicate system changes to end-users and other impacted staff.
- Perform ongoing production support, scope bug fixes, and ensure that the resolution of complex issues for critical data-related applications is provided by the dev team to minimize business disruption.
- Perform other duties as assigned.
Working Conditions:
- Office environment with extensive close PC and keyboard use, constant sitting, and frequent phone communication. Must be able to navigate multiple computer screens. A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work. Must be comfortable being on camera for virtual training and meetings. Work in excess of standard workweek, including evenings and occasional weekends, to meet business need.
Together, we can be more. We can be better.
Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training.
For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our humanresources@modahealth.com email.
Let’s do great things, together!
About Moda
Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we’re focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let’s be better together.
Position Summary
The Data Science BSA gathers and documents business requirements for the Enterprise Data Warehouse (EDW), including processes, system flows, and functional designs for break-fixes, upgrades, vendor implementations, and product enhancements. This position analyzes existing systems, designs new systems, and evaluates requirements and specifications throughout the software development lifecycle, including testing and implementation for projects with significant departmental or organizational impact. This is a FT WFH position.
Pay Range
$71,906.46 - $93,480.50 annually (depending on experience).
- This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range.
Benefits:
- Medical, Dental, Vision, Pharmacy, Life, & Disability
- 401K- Matching
- FSA
- Employee Assistance Program
- PTO and Company Paid Holidays
Required Skills, Experience & Education:
- 8+ years of experience in technical or business analysis, including at least 5 years as a Business Systems Analyst. Experience with data teams or data warehouses and familiarity with health insurance administration or clinical/operational healthcare are preferred.
- Experience building and/or maintaining data dictionaries with demonstrated procedural and technical writing skills.
- 2+ years of experience supporting analytical and reporting use-cases involving large datasets and/or data warehouses.
- Ability to read, write, and execute SQL statements.
- Experience with SQL Server and cloud-based data warehouses such as Snowflake, Microsoft Synapse/Fabric, BigQuery, Redshift, or Databricks preferred.
- Expert facilitation skills for both large and small group meetings or working sessions.
- Proven critical thinking, time management, and problem-solving skills.
- Ability to work collaboratively in a production support team and independently with minimal supervision.
- Ability to work well under pressure in a fast-paced environment with frequent interruptions and shifting priorities while managing multiple assignments.
- Strong organizational skills with the ability to plan, prioritize, and meet deadlines.
- Effective verbal and written communication skills with internal and external partners and stakeholders of varying technical skill levels.
Preferred Skills, Experience & Education:
- Ability to work with at least one additional language on top of SQL, such as SAS, R, or Python.
- Familiarity with modern data transformation tools such as dbt or Coalesce preferred.
Primary Functions:
- Model best practice requirements engineering for all aspects of the development lifecycle activities, including elicitation, analysis, and prioritization of functional and non-functional requirements.
- Mentor and support junior analysts to ensure alignment with enterprise architecture and strategic objectives.
- Partner with business and technical leadership to define, validate, and approve detailed functional specifications and acceptance criteria for high-impact initiatives.
- Proactively identify and source potential Data Science projects based on organizational priorities and EDW capabilities.
- Author and review technical documentation for enterprise-level systems, ensuring compliance with Data Science standards and influencing documentation best practices.
- Lead the development of business cases, contingency plans, business metrics and measurements, process models, training materials, new procedures, test scripts, ad-hoc reports, and smart solutioning for process improvements.
- Participate in the review and approval of system designs, logical data designs, report designs, interface designs, and conversion plans. Review and approve high-level data flows, functional specifications, and implementation plans. Suggest design alternatives as appropriate.
- Develop, document, and implement test plans, scenarios, and outcomes following Data Science standards to ensure stakeholder requirements are met.
- Perform post-implementation quality assurance and troubleshooting, ensuring adequate documentation following department standards.
- Coordinate and collaborate with IT and Corporate project managers on projects involving the EDW.
- Provide training and communicate system changes to end-users and other impacted staff.
- Perform ongoing production support, scope bug fixes, and ensure that the resolution of complex issues for critical data-related applications is provided by the dev team to minimize business disruption.
- Perform other duties as assigned.
Working Conditions:
- Office environment with extensive close PC and keyboard use, constant sitting, and frequent phone communication. Must be able to navigate multiple computer screens. A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work. Must be comfortable being on camera for virtual training and meetings. Work in excess of standard workweek, including evenings and occasional weekends, to meet business need.
Together, we can be more. We can be better.
Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training.
For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our humanresources@modahealth.com email.
Data Science Analyst Job Roles in Oregon
See all 128+ Data Science Analyst Jobs in Oregon
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Search Data Science Analyst Jobs in OregonData Science Analyst Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for data science analysts?
Intel, Nike, and Providence Health and Services are among the larger Oregon employers with documented H-1B sponsorship histories for data and analytics roles. Portland-area health technology companies and financial services firms also appear regularly in Department of Labor LCA filings for data science positions. Sponsorship patterns vary by company size and hiring cycle, so checking recent LCA disclosure data gives the clearest picture of active sponsors.
Which visa types are most common for data science analyst roles in Oregon?
The H-1B is the most common visa for data science analyst positions in Oregon, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. Candidates already in the U.S. on F-1 OPT, including the 24-month STEM OPT extension, frequently use that period to secure H-1B sponsorship. The O-1A is an option for analysts with exceptional published research or industry recognition.
Which cities in Oregon have the most data science analyst sponsorship jobs?
Portland accounts for the large majority of data science analyst sponsorship activity in Oregon, driven by its concentration of technology, retail, healthcare, and financial services employers. Hillsboro, home to Intel's major campus, is a secondary hub for data and analytics hiring. Corvallis and Eugene see smaller volumes tied to Oregon State University and University of Oregon research programs and affiliated employers.
How to find data science analyst visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to browse data science analyst openings in Oregon without manually vetting each employer. Because sponsorship willingness is not always stated in job postings, using a platform built around that filter saves significant time. On Migrate Mate, you can narrow results by state and role to focus on Oregon-based positions where employers have indicated sponsorship availability.
Are there state-specific considerations for data science analysts pursuing sponsorship in Oregon?
Oregon does not have its own state-level work visa program, so federal requirements govern sponsorship entirely. One practical consideration is Oregon's relatively active STEM hiring pipeline from Oregon State University and Portland State University, which means many employers are accustomed to sponsoring international graduates. Employers filing Labor Condition Applications in Oregon must meet the prevailing wage for the specific geographic area, which the Department of Labor determines using local wage surveys.
What is the prevailing wage for sponsored data science analyst jobs in Oregon?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.