Data Analytics Engineer Visa Sponsorship Jobs in Oregon
Oregon's data analytics engineer market centers on Portland's growing tech sector, with employers like Nike, Intel, and Daimler Trucks North America regularly hiring for data-intensive roles. Beaverton and Hillsboro extend the corridor through semiconductor and manufacturing analytics. Many Oregon employers sponsor H-1B visa and other work visas for qualified data analytics engineers.
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Location: Hillsboro, Oregon, United States
Category: Finance
Hire Type: Employee
Job ID: 18963
Base Salary Range: $140000-$210000
Date posted: 09/28/2026
We Are:
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
You Are:
You are a detail-oriented and analytical finance professional who thrives in a dynamic and collaborative environment. You have a proven track record in managing, forecasting, and reporting on headcount, expenses, and investments. With a strong foundation in financial planning and analysis, you possess the curiosity and initiative to dig deep into data, uncover insights, and deliver actionable recommendations as well as the strategic mindset to model long-range scenarios to achieve company objectives. You are detail-oriented, highly organized, and proactive—always anticipating needs and delivering solutions that support business priorities. You are comfortable leveraging advanced tools like Anaplan, SAP, Oracle, Excel, and utilizing the latest AI and automation solutions to drive transparency and efficiency. Your communication skills enable you to build positive relationships with business partners and leadership, while your adaptability allows you to effectively manage shifting priorities. Your experience in high-tech environments has equipped you to handle fast-paced challenges, and your proactive nature ensures you are always one step ahead in alerting leadership to risks and opportunities. You value accuracy, integrity, and innovation, and you look forward to making a significant impact as part of a world-class finance team.
What You’ll Be Doing:
- Leading the efficient execution of accurate monthly forecasts and headcount planning to achieve annual financial targets and key business objectives
- Preparing reviews of budgets and forecasts, analyzing trends, providing insights and making recommendations that will keep the business group on track to goals
- Reporting actual financial results, reviewing monthly accruals and providing insightful commentary on variances in collaboration with the extended team
- Alerting leadership to unforeseen expenses, risks, and emerging opportunities
- Executing ad hoc projects and analysis as needed to support leadership on key business decisions
- Leverage the latest analytical tools to deliver support with optimal efficiency
- Conducting variance analysis, identifying trends, tracking operational metrics and recommending improvements for greater efficiency
- Maintaining key performance indicators (KPIs) to assess financial health and operational performance
- Collaborating with the accounting team to ensure compliance and accuracy in financial reporting
- Driving process improvements, including the creation of standard and ad-hoc reports and dashboards in Anaplan and Excel
- Ensuring high data accuracy and attention to detail in all financial analyses
The Impact You Will Have:
- Influence Synopsys’ financial strategy through accurate budgeting, forecasting, and reporting
- Support sustainable growth and operational efficiency by providing insightful financial analysis and projections
- Promote transparency and flexibility in financial processes through innovative reporting tools and dashboards
- Build credibility and trust with stakeholders through reliable and actionable financial insights
- Ensure compliance and data integrity in all financial reporting, supporting Synopsys’ reputation for excellence
- Foster a culture of continuous improvement in financial operations and analysis
What You’ll Need:
- Professional qualification: MBA or CPA preferred
- 8 years’ experience in Financial Planning & Analysis, analytics, preferably within a high-tech company
- Expertise in general accounting, expense analysis, and capital expenditure analysis
- Exceptional analytical abilities; adept at converting complex data into actionable information
- Proficiency in Anaplan, SAP, Oracle, advanced Excel, PowerPoint. Experience with AI prompt engineering in a finance environment desired
- Strong communication and interpersonal skills, enabling effective interaction with BU and Corporate FP&A partners, finance leadership and across functions
Who You Are:
- Self-starter: Curious and proactive, always seeking deeper understanding and new opportunities
- Relationship builder: Able to cultivate strong, positive relationships and build credibility with business partners
- Adaptable: Thrive in a fast-paced environment and manage shifting priorities with ease
- Collaborative: Work effectively with diverse teams and stakeholders across the organization
- Detail-oriented: Committed to accuracy and thoroughness in all analyses and reporting
The Team You’ll Be A Part Of:
You’ll join a high-performing Finance team focused on strategic planning, budgeting & forecasting, financial reporting, variance analysis, and performance measurement. The team collaborates closely with functions across Synopsys, driving operational excellence, supporting strategic decision-making, and ensuring the company’s financial health. Together, you will play a vital role in enhancing efficiency, managing costs, and enabling sustainable growth.
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
Data Analytics Engineer Job Roles in Oregon
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Search Data Analytics Engineer Jobs in OregonData Analytics Engineer Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for data analytics engineers?
Oregon's largest visa sponsors for data and analytics roles include Intel, Nike, Precision Castparts, and Daimler Trucks North America. Portland-area technology firms and several healthcare analytics companies such as Providence Health and OHSU also have documented sponsorship histories. Larger enterprises with established HR and legal infrastructure are generally the most consistent sponsors for data analytics engineer positions.
Which visa types are most common for data analytics engineer roles in Oregon?
The H-1B is the most common visa for data analytics engineers in Oregon, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates from Australia may be eligible for the E-3 visa. Those with Canadian or Mexican citizenship may qualify under the TN visa category. L-1B transfers are also used by multinational employers moving specialized staff to Oregon offices.
Which cities in Oregon have the most data analytics engineer sponsorship jobs?
Portland accounts for the largest share of data analytics engineer sponsorship activity in Oregon, driven by its concentration of technology, healthcare, and retail analytics employers. The Beaverton-Hillsboro corridor is particularly active due to Intel's large campus and associated supplier ecosystem. Eugene has a smaller but growing presence, partly connected to the University of Oregon and regional tech hiring.
How to find data analytics engineer visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data analytics engineer roles in Oregon without sorting through positions that don't offer sponsorship. You can filter by location and role type to focus on Oregon employers who have sponsored work visas for data analytics engineers previously, saving significant time compared to unfiltered job searching.
Are there any Oregon-specific considerations for data analytics engineers seeking visa sponsorship?
Oregon employers sponsoring H-1B workers must meet Department of Labor prevailing wage requirements for the Portland-Vancouver-Hillsboro metropolitan area, which reflects the region's competitive tech hiring market. Oregon State University and the University of Oregon produce a consistent pipeline of analytics talent, so employers in college towns like Corvallis and Eugene may be more familiar with OPT-to-sponsorship transitions. Intel's Hillsboro campus is one of the state's most active H-1B filers and a significant entry point for data engineering careers in Oregon.
What is the prevailing wage for sponsored data analytics engineer 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.