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Revenue Analyst Jobs in Oregon (NOW HIRING)

The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into the reporting, models, and visualizations that power revenue, sales, and operations decision ...

Revenue Analytics Associate

OR · On-site +1

$118K - $130K/yr

Think of this role as part Revenue Analyst and part Project Manager. You'll need project planning skills to manage your analytics projects from start to finish, in unstructured environments. The ...

Revenue Analytics Manager

OR · On-site +1

$120K - $175K/yr

About the Role We're looking for a Revenue Analytics Manager to join our Business Data & Intelligence team at a critical inflection point. As Cresta scales, this role exists to build and own the ...

Revenue Specialist I (ROPS)

OR · On-site +1

$82K - $82K/yr

The revenue operation specialist must have the ability to define problems collects data, establish ... Analyze FFS (fee-for-service) collection trending * Work in a consultative capacity to identify and ...

POSITION SUMMARY The Revenue Cycle Analyst - Denials & Appeals (Unresponded) supports the post-appeal response tracking function within Natera's Billing Operations by providing data-driven insights ...

Overview of the Position We are looking for a highly motivated Revenue Operations Analyst to own commissions & compensation administration across Cordance's sales organization and help support the ...

The role will focus on analyzing and defining key revenue drivers, including by channel, geography, and cohort. You'll develop a deep understanding of our business by working side by side with our ...

Director of Revenue

Pacific City, OR · On-site

$90K - $100K/yr

Analyze market trends, demand patterns, and competitive pricing to identify revenue opportunities. * Manage pricing, inventory controls, and distribution strategies across all channels, including ...

Algolia is seeking a strategic, analytical, proactive and operationally strong Revenue Strategy & Planning Manager to join our Revenue Operations team. This role will help drive predictable revenue ...

Senior Revenue Accountant

OR · On-site +1

$86K - $105K/yr

Lead monthly analytical reviews, identifying revenue trends, anomalies, and risks, and clearly communicating root causes and recommended actions to stakeholders * Collaborate with FP&A to improve ...

Revenue Specialist III, ROPS

OR · On-site +1

$82K - $82K/yr

The Revenue Specialist - BPA is a specialized role within Team Sonar. Unlike traditional ROPS roles ... In this role, you will analyze high-volume payor trends, identify upstream issues causing credit ...

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Showing results 1-20

Revenue Analyst information

See Oregon salary details

$31.2K

$80.6K

$134.8K

How much do revenue analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for revenue analyst in Oregon is $80,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $90,900.00 per year, depending on experience, location, and employer.

What is a revenue analyst?

Revenue analysts are specialized accountants who track company revenue and suggest ways to increase it. As a revenue analyst, you monitor the income of your company, comparing expenditures and revenue over various periods of time, and analyze the data to determine how the company’s figures compare to economic trends and to similar competitors. Job duties include conducting regular audits, developing strategies to maximize company revenue, creating revenue control plans, and ensuring that revenue targets are on track. The qualifications to pursue a career as a revenue analyst include a bachelor's degree in accounting or a related field and experience working with financial data, such as sales and revenue.

What are the key skills and qualifications needed to thrive as a revenue analyst?

To thrive as a Revenue Analyst, you need strong analytical skills, proficiency in financial modeling, and a degree in finance, accounting, or a related field. Familiarity with data analysis tools like Excel, SQL, and revenue management systems is typically required, along with certifications such as CFA or CPA being advantageous. Attention to detail, effective communication, and problem-solving abilities are valuable soft skills for interpreting data and presenting insights. These skills ensure accurate revenue forecasting, strategic decision-making, and optimal financial performance for the organization.

How does a revenue analyst typically collaborate with other departments to optimize revenue performance?

Revenue Analysts frequently work cross-functionally with sales, marketing, finance, and operations teams to gather data and align on revenue strategies. They analyze trends, provide insights, and recommend adjustments to pricing, promotions, or inventory management based on their findings. Regular meetings with these departments are common to ensure everyone is informed and working toward shared revenue goals. This collaborative environment not only helps optimize performance but also provides Revenue Analysts with a broad understanding of the business and opportunities for growth.

What is the difference between Revenue Analyst vs Financial Analyst?

AspectRevenue AnalystFinancial Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; often certifications like CFA or CPABachelor's in Finance, Accounting, or Economics; CFA certification common
Work EnvironmentCorporate finance teams, sales departments, revenue management unitsInvestment firms, corporate finance, banking, or consulting
Employer & Industry UsageRetail, hospitality, SaaS, telecom, industries focused on revenue optimizationFinancial services, investment banking, corporate finance departments

Revenue Analysts focus on analyzing and optimizing revenue streams within a company, often working closely with sales and marketing teams. Financial Analysts evaluate overall financial performance, prepare reports, and support investment decisions. While both roles require strong analytical skills and finance credentials, Revenue Analysts specialize in revenue-specific data, whereas Financial Analysts have a broader scope covering overall financial health.

Do revenue analysts make a lot of money?

Revenue analysts typically earn a competitive salary that varies by industry, experience, and location. According to industry data, the median annual salary for a revenue analyst ranges from $60,000 to $80,000, with higher earnings possible for those with advanced skills or certifications. They often work in corporate finance or sales environments, utilizing tools like Excel and data analysis software.

How much do revenue analysts make in the US?

Revenue analysts in the US typically earn an average salary ranging from $60,000 to $85,000 per year, depending on experience, location, and industry. Entry-level positions may start around $50,000, while experienced analysts can earn over $100,000 with specialized skills and certifications. Salaries are often complemented by bonuses and benefits.

How much does a revenue analyst make?

The average salary for a revenue analyst typically ranges from $60,000 to $85,000 annually, depending on experience, industry, and location. In major markets, salaries can be higher, and professionals often use tools like Excel and financial modeling in their work.

What are the most commonly searched types of Revenue Analyst jobs in Oregon?

The most popular types of Revenue Analyst jobs in Oregon are:

What are popular job titles related to Revenue Analyst jobs in Oregon?

For Revenue Analyst jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Revenue Analyst jobs in Oregon look for?

The top searched job categories for Revenue Analyst jobs in Oregon are:

What cities in Oregon are hiring for Revenue Analyst jobs?

Cities in Oregon with the most Revenue Analyst job openings:

What are popular job titles related to Revenue Analyst jobs in OR?

For Revenue Analyst jobs in OR, the most frequently searched job titles are:

Infographic showing various Revenue Analyst job openings in Oregon as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $80,624 per year, or $38.8 per hour.

Data Analyst, Revenue Operations

NMI

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into the reporting, models, and visualizations that power revenue, sales, and operations decision-making. Reporting into the Revenue Operations organization, this role combines hands-on SQL and data modeling with predictive segmentation, opportunity analysis, and dashboard development - and serves as a trusted reporting partner to teams across the business. You will work primarily within Revenue Operations while collaborating cross-functionally with Sales, Business and Technical Operations, Sales Enablement, Support, and Finance to get things done.

About NMI

NMI, a global leader in payment technologies, allows software and sales professionals to deliver payment innovations to their clients without having to build payment expertise in house. NMI enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used NMI in the last 24 hours without even realizing it. We're the platform that powers success for innovative tech created by SMBs, entrepreneurs and fintech startups. We're creative problem solvers who help visionaries smash through boundaries and think beyond what's possible so they can think about what's next. But we're not just built for the tech savvy. We democratize the latest payments technology so that everyone can realize the benefits of easy payments across the full spectrum of commerce. Our mission is to use our expertise to enable more payments, in more ways and more places. We provide ISOs, Fintech Innovators and Technologists the freedom to focus on what they do best, liberating them from restricted payment solutions and giving them access to the latest payment technology now and in the future.

How We Work - Our Core Values

* Be a Good Person, It's Simple. We treat everyone fairly and with respect. We lead with kindness, humility and integrity. We take the time to understand each other and our customers. And we serve with care, because customers are never a transaction, and always our focus

* Align, Trust & Go. We debate openly,  listen carefully and challenge thoughtfully. Once we decide, we move forward together - holding ourselves accountable to our commitments, and focusing on what matters most to our customers. That alignment creates momentum.

* Raise the Bar. Good enough isn't enough. We stay curious, measure everything, stay honest about progress and keep pushing ourselves to think creatively. We drive change, again and again. And leave things better than we found them. When we raise the bar, our customers feel it too.

The Ideal Candidate

You bring strong analytical thinking, intellectual curiosity, and a commitment to accuracy. You enjoy connecting information across disparate systems, identifying meaningful patterns, and delivering insights that influence business decisions. The opportunity to build and own these capabilities during your first year is something you find energizing:

  • Build and maintain the core revenue and customer-lifecycle reporting that gives sales and revenue leadership clear visibility into performance, trends, and health of the business
  • Develop and operationalize segmentation and predictive models in BigQuery ML that shape go-to-market targeting and account prioritization
  • Lead the migration of dashboards from legacy datasets and BI tools into Tableau, with documented data lineage and custom measures
  • Establish data quality and reconciliation practices that resolve entities across source systems and distinguish net-new from existing customers
  • Partner with teams across the organization to translate ambiguous, evolving requests into concrete reporting deliverables
Key Responsibilities
  • Deliver ad-hoc and recurring analyses supporting Sales, Business and Technical Operations (Salesforce Admins), Revenue, Sales Enablement, Support, and other internal teams, with minimal supervision
  • Produce core revenue and customer-lifecycle reporting - including month-to-date, quarter-to-date, and trailing-twelve-month metrics - with validation logic that reconciles outputs against source-of-truth figures
  • Author complex SQL in BigQuery using multi-CTE pipelines, window functions, user-defined functions, and array aggregation, and build reusable views for data aggregation and downstream consumption
  • Build and refine segmentation and clustering models in BigQuery ML, including feature engineering, look-alike discovery, and cluster profiling, and operationalize model output into actionable deliverables for go-to-market teams
  • Size addressable-market and ideal-customer opportunities by identifying accounts whose profile fits specific products, and quantify whitespace and upsell potential to support Sales Enablement and account prioritization
  • Perform entity resolution across multiple source systems using fuzzy matching, normalization, and confidence scoring, reconciling records across platforms
  • Develop and maintain Tableau dashboards for key business metrics, and lead migration from legacy datasets and BI tools with documented data lineage, custom measures, and visual mappings
  • Maintain current knowledge of data sources and ongoing data warehouse developments, adapting models and reporting as schemas and requirements change
  • Translate ambiguous and evolving requests from a wide range of stakeholders into concrete reporting specifications
  • Contribute to a culture of data discipline, continuous improvement, and analytical excellence across the Revenue Operations organization
Skills & Experience
  • 2-5 years of experience in data analysis, revenue operations analytics, business intelligence, or a similar analytical role
  • Strong SQL proficiency, with hands-on experience in BigQuery; familiarity with BigQuery ML a significant plus
  • Demonstrated experience building and maintaining dashboards in Tableau or comparable data visualization tools
  • Experience with data modeling and designing reusable views for aggregation and consumption
  • Familiarity with entity resolution and data quality techniques, including fuzzy matching and cross-platform reconciliation
  • Strong analytical skills with the ability to surface trends, identify gaps, and translate data into clear recommendations
  • Experience working with CRM data (Salesforce preferred) and revenue/go-to-market datasets
  • The ability to move fluidly between structured recurring reporting and ambiguous ad-hoc requests without losing rigor on either
  • Strong written and verbal communication skills with the ability to partner effectively across technical and non-technical stakeholders
  • Independent work ethic and comfort operating in a fast-paced environment where priorities and reporting requirements can shift
As well as being a part of something exciting everyday, you will also receive the following benefits:
  • A remote first culture!
  • Competitive compensation and benefits
  • Personal growth and advancement opportunities
  • Flex PTO & dedicated sick time
  • Health, Dental and Vision Insurance
  • Life, ADD, Short-term and Long-term Disability insurance
  • 401k matching up to 4% after two months of service
  • Flexible Spending Account
  • Paid Parental Leave
  • Company volunteer days
  • Employee referral program
  • Bonusly colleague recognition
Equal Opportunity

NMI is committed to providing equal employment opportunity for all persons regardless of race, color, religion, sex, age, marital status, national origin, sexual orientation or sexual identity, genetic information, citizen status (except those that do not have the legal right to be employed in the United States), disability, military service, service member, veteran status, or any other basis protected by applicable law.

Please be aware that all offers of employment are made subject to receipt of satisfactory background and financial checks.

Attention job applicants: Please note that in compliance with the data protection regulations within your jurisdiction, any personal information submitted with your job application may be collected and used by NMI for the purpose of recruitment and employment-related activities. By submitting your application, you acknowledge and provide explicit consent to the processing of your personal information as described in our privacy policy found on our website. For more information on how we process your information, please read our privacy policy here: https://www.nmi.com/legal/privacy-policy/

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