Data Analyst Visa Sponsorship Jobs in Oregon
Data analyst visa sponsorship jobs in Oregon are concentrated in Portland, where Nike, Intel, and Adidas anchor significant analytics teams, and in Hillsboro's semiconductor corridor. Oregon's growing tech sector, healthcare organizations like Providence and OHSU, and e-commerce operations create steady demand for analysts who need H-1B visa or other work visa sponsorship.
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Get Access To All JobsAbout PayRange
PayRange is a leading fintech and mobile commerce platform transforming the unattended retail industry through innovative payment and technology solutions. Our platform enables consumers to make seamless mobile purchases across vending, laundry, amusement, coffee, and other self-service environments. With a growing global presence across North America, Europe, and Asia, PayRange is helping modernize everyday transactions while powering a connected ecosystem for operators, partners, and consumers.
As we continue to scale through growth, innovation, and acquisition, data is becoming increasingly central to how we operate, measure success, and make decisions across the business.
About the Role
PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company’s first dedicated data and business intelligence owner. Reporting to the Founder/CEO, you will work closely with the leadership team to build trusted reporting, dashboards, data sources, and analytical foundations used across the company.
This is a hands-on role for someone who is equally comfortable writing SQL, building Tableau dashboards, modeling data, reconciling metrics, and working with business leaders to turn objectives into measurable operating insights.
You will support Finance, Sales, Marketing, Operations, Support, Product, and Executive leadership. You will work with data from systems such as Postgres, BigQuery, Salesforce, Zendesk, QuickBooks, NetSuite, Tableau, and other internal and external sources.
What you will do
- Write SQL queries, views, and analytical tables that turn raw data into usable business datasets.
- Build and maintain trusted dashboards, reports, and published data sources for executives and operating teams.
- Define and document core business metrics, including revenue, transaction activity, customer/operator health, support trends, sales performance, operational performance, and other KPIs.
- Partner with Finance on SaaS metrics including ARR walks and retention reporting.
- Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business questions and translate them into data models, dashboards, and insights.
- Identify data quality issues, investigate discrepancies, and establish checks to improve trust in company reporting.
- Help design the analytics layer that enables self-service reporting and consistent metrics across the organization.
- Prioritize data requests and balance quick-turn analysis with long-term scalable reporting.
- Train and support business users in how to interpret dashboards and use data effectively.
- Help shape the future data stack, including tools, governance, documentation, and reporting standards.
What we are looking for
- 6+ years of experience in data analysis, business intelligence, analytics engineering, or a related role.
- Advanced SQL skills and experience working with relational databases and/or cloud data warehouses.
- Strong Tableau experience, including dashboard design, published data sources, extracts/live connections, calculated fields, and performance considerations.
- Experience building reusable data models, reporting tables, views, or semantic layers.
- Strong business judgment and ability to translate ambiguous questions into clear metrics and analysis.
- Experience working with cross-functional teams such as Finance, Sales, Marketing, Operations, Support, and Product.
- Ability to communicate clearly with both technical and non-technical audiences.
- Strong data quality mindset, including validation, reconciliation, documentation, and root-cause analysis.
- Self-directed working style and ability to operate as the primary data person in the company.
Nice to have
- Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools.
- Experience with Salesforce, Zendesk, NetSuite, QuickBooks, or other business systems.
- Experience in payments, fintech, IoT, marketplace, usage-based, B2B, or recurring-revenue businesses.
- Experience supporting executive, board, finance, or company operating reviews.
- Familiarity with data governance, metric definitions, and data cataloging.
What success looks like
In the first 90 days, you will understand the company’s core data sources, build relationships with key stakeholders, take ownership of existing reporting, and deliver improvements to the executive dashboard and core business metrics.
Over time, you will establish the company’s trusted data foundation, reduce manual reporting, improve confidence in key metrics, and help every department make better decisions with data.
About PayRange
PayRange is a leading fintech and mobile commerce platform transforming the unattended retail industry through innovative payment and technology solutions. Our platform enables consumers to make seamless mobile purchases across vending, laundry, amusement, coffee, and other self-service environments. With a growing global presence across North America, Europe, and Asia, PayRange is helping modernize everyday transactions while powering a connected ecosystem for operators, partners, and consumers.
As we continue to scale through growth, innovation, and acquisition, data is becoming increasingly central to how we operate, measure success, and make decisions across the business.
About the Role
PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company’s first dedicated data and business intelligence owner. Reporting to the Founder/CEO, you will work closely with the leadership team to build trusted reporting, dashboards, data sources, and analytical foundations used across the company.
This is a hands-on role for someone who is equally comfortable writing SQL, building Tableau dashboards, modeling data, reconciling metrics, and working with business leaders to turn objectives into measurable operating insights.
You will support Finance, Sales, Marketing, Operations, Support, Product, and Executive leadership. You will work with data from systems such as Postgres, BigQuery, Salesforce, Zendesk, QuickBooks, NetSuite, Tableau, and other internal and external sources.
What you will do
- Write SQL queries, views, and analytical tables that turn raw data into usable business datasets.
- Build and maintain trusted dashboards, reports, and published data sources for executives and operating teams.
- Define and document core business metrics, including revenue, transaction activity, customer/operator health, support trends, sales performance, operational performance, and other KPIs.
- Partner with Finance on SaaS metrics including ARR walks and retention reporting.
- Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business questions and translate them into data models, dashboards, and insights.
- Identify data quality issues, investigate discrepancies, and establish checks to improve trust in company reporting.
- Help design the analytics layer that enables self-service reporting and consistent metrics across the organization.
- Prioritize data requests and balance quick-turn analysis with long-term scalable reporting.
- Train and support business users in how to interpret dashboards and use data effectively.
- Help shape the future data stack, including tools, governance, documentation, and reporting standards.
What we are looking for
- 6+ years of experience in data analysis, business intelligence, analytics engineering, or a related role.
- Advanced SQL skills and experience working with relational databases and/or cloud data warehouses.
- Strong Tableau experience, including dashboard design, published data sources, extracts/live connections, calculated fields, and performance considerations.
- Experience building reusable data models, reporting tables, views, or semantic layers.
- Strong business judgment and ability to translate ambiguous questions into clear metrics and analysis.
- Experience working with cross-functional teams such as Finance, Sales, Marketing, Operations, Support, and Product.
- Ability to communicate clearly with both technical and non-technical audiences.
- Strong data quality mindset, including validation, reconciliation, documentation, and root-cause analysis.
- Self-directed working style and ability to operate as the primary data person in the company.
Nice to have
- Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools.
- Experience with Salesforce, Zendesk, NetSuite, QuickBooks, or other business systems.
- Experience in payments, fintech, IoT, marketplace, usage-based, B2B, or recurring-revenue businesses.
- Experience supporting executive, board, finance, or company operating reviews.
- Familiarity with data governance, metric definitions, and data cataloging.
What success looks like
In the first 90 days, you will understand the company’s core data sources, build relationships with key stakeholders, take ownership of existing reporting, and deliver improvements to the executive dashboard and core business metrics.
Over time, you will establish the company’s trusted data foundation, reduce manual reporting, improve confidence in key metrics, and help every department make better decisions with data.
Data Analyst Job Roles in Oregon
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Search Data Analyst Jobs in OregonData Analyst Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for data analysts?
Intel is one of Oregon's most active H-1B sponsors for data and analytics roles, particularly at its Hillsboro campus. Nike, Adidas, and Columbia Sportswear in the Portland metro also sponsor analysts. Healthcare organizations including Oregon Health and Science University and Providence Health regularly file for data-related positions. Technology firms like Daimler Trucks North America and various Portland-based software companies round out the sponsorship pool.
Which visa types are most common for data analyst roles in Oregon?
The H-1B is the most common visa for data analyst roles in Oregon, as the position typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. International candidates already in the U.S. on F-1 OPT, including STEM OPT extensions, frequently transition into H-1B sponsorship through Oregon employers. O-1 visas are less common but available for analysts with exceptional publication or industry recognition.
Which cities in Oregon have the most data analyst sponsorship jobs?
Portland accounts for the large majority of data analyst sponsorship activity in Oregon, driven by corporate headquarters in apparel, technology, and healthcare. Hillsboro, home to Intel's largest U.S. campus, is a significant secondary hub with consistent demand for analytics professionals. Beaverton and the broader Washington County tech corridor also see regular sponsorship filings. Eugene and Corvallis generate smaller but steady pipelines, particularly through university-affiliated employers and regional healthcare systems.
How to find data analyst visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically for roles that include visa sponsorship, making it straightforward to search data analyst positions in Oregon without sifting through companies that won't sponsor. You can browse by state and role to surface active openings at Oregon employers like Intel, Nike, and OHSU. Because sponsorship willingness varies by company and hiring cycle, checking Migrate Mate regularly gives you the most current picture of which Oregon employers are actively hiring sponsored analysts.
Are there state-specific factors that affect data analyst visa sponsorship in Oregon?
Oregon's concentration of semiconductor manufacturing through Intel's Hillsboro operations means a meaningful share of sponsorship filings come from engineering-adjacent analytics roles rather than pure business intelligence positions. Oregon State University and the University of Oregon produce domestic and international graduates who enter the local analytics workforce, creating a competitive but internationally active talent pipeline. Oregon has no state income tax for some nonresidents under specific conditions, which is worth discussing with a tax professional once you receive an offer.
What is the prevailing wage for sponsored 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.