Business Data Analyst Visa Sponsorship Jobs in Oregon
Oregon's business data analyst market is anchored by Nike's global headquarters in Beaverton, Intel's large Hillsboro campus, and a growing Portland tech sector that includes companies like Daimler Trucks North America and Precision Castparts. Portland is the primary hiring hub, with additional opportunities in the Hillsboro-Beaverton corridor where semiconductor and manufacturing firms regularly seek analytical talent from international candidates.
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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.
Business Data Analyst Job Roles in Oregon
See all 33+ Business Data Analyst Jobs in Oregon
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Search Business Data Analyst Jobs in OregonBusiness Data Analyst Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for business data analysts in Oregon?
Nike, Intel, and Oracle are among the most active H-1B visa sponsors for analytical roles in Oregon, based on Department of Labor disclosure data. Portland-area employers such as Daimler Trucks North America, Precision Castparts, and Providence Health Services have also filed LCA applications for business data analyst positions. Technology consulting firms with Oregon offices, including Wipro and Infosys, are additional sources of sponsorship for this role.
Which visa types are most common for business data analyst roles in Oregon?
The H-1B is the most common visa category for business data analyst positions in Oregon, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as business, statistics, or computer science. Candidates already in the U.S. on OPT or STEM OPT may also find Oregon employers willing to initiate H-1B sponsorship before their work authorization expires. The TN visa is an option for Canadian and Mexican nationals if the role fits an eligible USMCA category.
Which cities in Oregon have the most business data analyst sponsorship jobs?
Portland is by far the largest market for business data analyst roles with visa sponsorship in Oregon, driven by its concentration of corporate headquarters, financial services firms, and technology companies. The Hillsboro and Beaverton area is a strong secondary market due to Intel's large campus and the broader semiconductor supply chain. Salem and Eugene have more limited opportunities but occasionally see postings from healthcare systems, universities, and state government contractors.
How to find business data analyst visa sponsorship jobs in Oregon?
Migrate Mate is designed specifically for international candidates searching for visa-sponsored roles, including business data analyst positions in Oregon. You can filter by state and role to surface employers who have a documented history of H-1B sponsorship in this field. Focusing your search on Portland and the Hillsboro-Beaverton corridor will return the highest volume of relevant Oregon postings. Migrate Mate's job board is updated regularly, making it a practical starting point for tracking new openings from sponsors like Nike and Intel.
Are there any Oregon-specific considerations for business data analysts seeking visa sponsorship?
Oregon does not have a state income tax advantage for visa holders, but its concentration of technology and manufacturing employers creates consistent demand for business data analysts. Intel's Hillsboro campus is one of the largest private employers in the state and a significant source of H-1B petitions for analytical roles. Oregon Health and Science University and Portland State University produce local talent pipelines, but both institutions also recruit internationally and have sponsored work visas for analysts in research and administrative contexts.
What is the prevailing wage for sponsored business data 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.