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Business Intelligence Jobs in Oregon (NOW HIRING)

Business Intelligence Engineer

OR · On-site +1

$115K - $145K/yr

What You'll Do Reporting to the Manager, Business Intelligence, the Business Intelligence Engineer is responsible for working cross-functionally with stakeholders across the organization (e.g ...

Senior Business Intelligence Engineer

OR · On-site +1

$51 - $66.25/hr

What we do The Business Intelligence & Analytics team is part of the Software Engineering organization, which builds the intelligent software platforms that power Symbotic's advanced automation ...

Business Intelligence Data Analyst

OR · On-site +1

$93K - $110K/yr

Data Analyst - Business Intelligence Location: Remote Position Summary: OpenX Technologies, Inc. is looking for a Data Analyst to join our dynamic and high-performing Business Intelligence team ...

Business Intelligence Sr Data Analyst

OR · On-site +1

$106K - $125K/yr

OpenX Technologies, Inc. is looking for a Senior Data Analyst to join our dynamic and high-performing Business Intelligence team within the Finance organization. Our organization's mission is to ...

Translate business processes from Finance, Supply Chain, and other functions into robust analytical data models. * Partner with crossfunctional stakeholders to define KPIs, metrics, and data logic.

$16.75 - $21/hr

Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only Semester: Fall 2025 Location: Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is ...

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Business Intelligence information

See Oregon salary details

$31.2K

$120.8K

$177.1K

How much do business intelligence jobs pay per year?

As of Sep 5, 2026, the average yearly pay for business intelligence in Oregon is $120,806.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $150,700.00 per year, depending on experience, location, and employer.

What is business intelligence?

Business intelligence (BI) refers to the processes, technologies, and tools that organizations use to collect, analyze, and present business data. The goal of BI is to help decision-makers make more informed business choices by turning raw data into actionable insights. This often involves data mining, reporting, dashboards, and predictive analytics. BI professionals work with databases, visualization tools, and statistical methods to support strategic and operational decision-making.

What are the qualifications to get a job in business intelligence?

Qualifications for a career in business intelligence (BI) include a bachelor’s degree in marketing, business administration, or a related field. A strong background in statistics and computer analysis is also desirable, as most of your duties revolve around interpreting the data and creating reports. Computer proficiency is essential to work with the necessary software. Certification isn’t required, but it can improve your chances of getting hired by a company. The Marketing Research Association offers several certificate programs along with advanced learning opportunities in data analysis. Exceptional analytical and organizational skills are imperative. Critical thinking is also vital for interpreting the trends and making sound decisions.

What are the key skills and qualifications needed to thrive as a business intelligence professional, and why are they important?

To thrive as a Business Intelligence professional, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with BI tools like Tableau, Power BI, SQL, and data warehousing systems, along with certifications such as Microsoft Certified: Data Analyst Associate, is highly beneficial. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for interpreting data and presenting insights to stakeholders. These competencies enable BI professionals to transform complex data into actionable strategies that drive informed business decisions.

How does a business intelligence professional typically collaborate with other departments within an organization?

Business Intelligence professionals frequently work cross-functionally, partnering with departments such as marketing, sales, finance, and operations to understand their data needs and provide actionable insights. They often translate business questions into data-driven analyses and present findings in clear, accessible formats. Collaboration may include attending regular meetings, gathering requirements for dashboards or reports, and offering guidance on data interpretation, making strong communication skills essential for success in this role.

What is the difference between Business Intelligence vs Data Analyst?

AspectBusiness IntelligenceData Analyst
Required CredentialsBachelor's in IT, Business, or related fields; certifications like CBIP or Microsoft BIBachelor's in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentBI teams, data warehouses, reporting toolsData sets, spreadsheets, statistical software
Employer & Industry UsageBusiness sectors, analytics teams, IT departmentsMarketing, finance, healthcare, and other sectors requiring data insights

Business Intelligence professionals focus on designing and managing systems that collect, analyze, and visualize data to support strategic decisions. Data Analysts interpret data to identify trends and generate reports. While both roles work with data, BI emphasizes system development and dashboards, whereas Data Analysts focus on data interpretation and insights.

Is business intelligence a good career?

Business intelligence is a growing field that involves analyzing data to support decision-making, often requiring skills in data analysis, SQL, and visualization tools like Tableau or Power BI. It offers opportunities in various industries, competitive salaries, and potential for career advancement, making it a viable career choice for those interested in data and technology.

Is business intelligence still in demand?

Business intelligence professionals are in high demand as organizations increasingly rely on data analysis, visualization tools, and analytics platforms to make strategic decisions. Skills in data warehousing, SQL, and tools like Tableau or Power BI enhance job prospects in this field, which continues to grow with the expansion of big data and digital transformation initiatives.

What are business intelligence jobs?

Business intelligence jobs involve analyzing data to help organizations make informed decisions. Roles typically include data analysts, BI analysts, and BI developers who use tools like SQL, Tableau, or Power BI to gather, interpret, and visualize data for strategic insights.

What is the work of business intelligence?

Business intelligence professionals analyze data to help organizations make informed decisions. They use tools like data visualization and reporting software to identify trends, create dashboards, and support strategic planning. Strong analytical skills and knowledge of databases are essential in this role.

What are the most commonly searched types of Business Intelligence jobs in Oregon?

The most popular types of Business Intelligence jobs in Oregon are:

What are popular job titles related to Business Intelligence jobs in Oregon?

For Business Intelligence jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Business Intelligence jobs?

Cities in Oregon with the most Business Intelligence job openings:

Infographic showing various Business Intelligence job openings in Oregon as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $120,806 per year, or $58.1 per hour.

Business Intelligence Engineer

Imagine Pediatrics

OR • On-site, Remote

$115K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

What You'll Do  

Reporting to the Manager, Business Intelligence, the Business Intelligence Engineer is responsible for working cross-functionally with stakeholders across the organization (e.g. clinical, operational, product, finance, and beyond) to drive analyses and insights that lead to more informed decisions and improved business performance. This role owns the full business intelligence lifecycle: understanding a stakeholder's workflow, defining the metrics that monitor it, and delivering trusted, reusable analytical solutions from prototype through production. This role will be part of a fast-growing, fast-paced technology organization working to create bespoke solutions to support medically complex children on Medicaid, increasing safe days at home. 

You will:  

  • Design, build, and maintain Tableau dashboards that are user-friendly, performant, meet production standards, and enable data-driven decision making across the organization 
  • Design dbt models as reusable data products rather than one-off, dashboard-specific logic; check for and reuse existing models, metrics, and semantic definitions before building new ones, and own the consistency of what you introduce 
  • Partner with stakeholders across organization to gather requirements, understand how their workflow operates, and translate that understanding into the metrics and key performance indicators needed to monitor it 
  • Navigate ambiguous project requirements with limited information, recommend solutions and adapt to evolving business priorities and project types 
  • Own the full business intelligence lifecycle end-to-end: prototyping and validating an approach with stakeholders, building the underlying data model and dashboard, QA testing for accuracy and edge cases, and user testing to confirm the solution meets stakeholders' expectations before it ships 
  • Proactively flag metric or logic inconsistencies you encounter across domains, even ones outside your immediate project, rather than working around them 
  • Use SQL and other tools to collect, process, and analyze large datasets from claims, EHR, HIE, and other programmatic and operational sources 
  • Support self-service analytics by building dashboards and semantic layer components that stakeholders can confidently explore and extend on their own, reducing one-off reporting requests 
  • Complete analytic ticket requests and ad-hoc reporting needs, communicating with stakeholders on status and relaying priorities 
  • Partner with Analytics Engineering, Health Care Economics, Data Science on shared models, upstream data quality, and new tools and capabilities that improve consistency and efficiency across the analytics stack 
  • Perform other duties as assigned 

What You Bring & How You Qualify  

First and foremost, you're passionate and committed to reimagining pediatric health care and creating a world where every child with complex medical conditions gets the care and support they deserve. You will need: 

  • 3+ years of experience in business intelligence, data analytics, analytics engineering or related disciplines; strong experience in healthcare 
  • 2+ years of experience with Tableau demonstrating advanced use of calculations, parameters, performance tuning and interactivity 
  • Strong SQL skills and the ability to build analytic tools quickly to generate actionable insights from large-scale data in Snowflake or similar cloud data warehouses 
  • Strong dbt for data modeling with an engineering-minded approach: building reusable models, standardizing metric definitions, and reducing duplicated logic rather than treating each dashboard as an isolated deliverable  
  • Systems thinking; you naturally consider how a dashboard, metric, or model fits into the broader analytics ecosystem, and design for downstream dependencies and future reuse rather than solving only the request in front of you 
  • Demonstrated use of modern engineering practices including version control, CI/CD, testing, and code reviews 
  • Comfort owning a project end-to-end, from gathering requirements directly from stakeholders, prototyping and stakeholder validation through build, QA testing, and user testing 
  • Proven ability to communicate findings effectively through data storytelling that connects insights with business goals and impact 
  • Familiarity with semantic layer concepts, self-service analytics enablement, or AI-assisted analytics tooling is a strong plus 
  • Familiarity with healthcare data sources (e.g., claims, EHR, health information exchange) is a strong plus 

What We Offer (Benefits + Perks)  

 The role offers a base salary range of $115,000 - $145,000 in addition to an annual bonus incentive, competitive company benefits package, and eligibility to participate in an employee equity purchase program (as applicable). When determining compensation, we analyze and carefully consider several factors including job-related knowledge, skills and experience. These considerations may cause your compensation to vary.  

We provide these additional benefits and perks: 

  • Competitive medical, dental, and vision insurance  
  • Healthcare and Dependent Care FSA; Company-funded HSA 
  • 401(k) with 4% match, vested 100% from day one 
  • Employer-paid short and long-term disability  
  • Life insurance at 1x annual salary  
  • 20 days PTO + 10 Company Holidays & 2 Floating Holidays  
  • Paid new parent leave 
  • Additional benefits to be detailed in offer