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Sql Data Analyst Jobs in Oregon (NOW HIRING)

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 ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in ... Strong background in payments, product, or operations analytics, with hands-on proficient in SQL ...

$40/hr

Hourly Data Analyst Department: Asst/Assoc Professor Reports To: Associate Professor Position Summary: Center for Solar Terrestrial Research (CSTR) of the New Jersey Institute of Technology (NJIT) in ...

As a Data Product Analyst at our Retail team, you will: * Ramp up quickly to become the primary ... You have 4+ years of experience working with SQL, Python, Pyspark , or other programming languages ...

Business Intelligence Data Analyst

OR · On-site +1

$93K - $110K/yr

Data Analyst - Business Intelligence Location: Remote Position Summary: OpenX Technologies, Inc. is ... Prior experience with relational database systems; strong SQL skills are required. Previous ...

... analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and careful, maintain detailed logs of day-to ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

... SQL and similar. Key Responsibilities: Financial Analytics Development * Partner with Finance ... Build advanced data models to evaluate financial and operational performance, enabling deeper ...

Senior Claims Data Analyst

Salem, OR · On-site +1

$86K - $109K/yr

As our new senior claims data analyst, you'll be performing high-level analytical functions that have a huge impact on the success of our claims division. You will work with business partners ...

Finance Data Platform Specialist

OR · On-site +1

$115K - $130K/yr

Utilize SQL to analyze, validate, and troubleshoot enterprise finance data. Required Qualifications * Bachelor's degree in Information Systems, Computer Science, Business, Finance, Accounting, or a ...

Senior Claims Data Analyst

Salem, OR · On-site

$86K - $109K/yr

As our new senior claims data analyst, you'll be performing high-level analytical functions that have a huge impact on the success of our claims division. You will work with business partners ...

Data Solutions Engineer

OR · On-site +1

$114K - $137K/yr

Strong SQL skills and ability to write complex queries, perform ad-hoc data analysis, and work with relational data models * Proficiency in Python for scripting, data manipulation, and workflow ...

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured lending data, reporting, and risk oversight capabilities. The ideal candidate will own and support ...

$130K - $150K/yr

Advanced SQL & Data Viz Skills: Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server. Expertise in PowerBI, Tableau, or similar data visualization tools.

Showing results 41-60

Sql Data Analyst information

See Oregon salary details

$22.7K

$92.6K

$134.3K

How much do sql data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for sql data analyst in Oregon is $92,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $105,700.00 per year, depending on experience, location, and employer.

What is an SQL data analyst?

An SQL Data Analyst is a professional who uses SQL (Structured Query Language) to extract, analyze, and interpret data stored in relational databases. They transform raw data into actionable insights by writing queries, creating reports, and visualizing trends to support business decision-making. SQL Data Analysts also help ensure data quality, optimize database performance, and collaborate with other teams to meet organizational goals.

What does an SQL data analyst do?

A SQL data analyst is a data scientist that uses the SQL language to interpret data. This analysis is used to improve business information and provide new insights to managers. Your primary responsibilities revolve around creating these analysis reports, but SQL analytical skills are in demand in many different industries, so specific duties can vary. In many positions, you may be tasked with database upkeep as well, developing infrastructure that increases system efficiency. Regarding academic qualifications, this career requires a bachelor’s degree in either computer science, electrical engineering, information technology, or statistics. Most aspiring SQL analysts gain experience through internships while pursuing their degree.

What are the key skills and qualifications needed to thrive as a SQL data analyst, and why are they important?

To thrive as a SQL Data Analyst, a strong command of SQL, data modeling, and statistical analysis is essential, often supported by a degree in computer science, statistics, or a related field. Familiarity with database management systems like Microsoft SQL Server or MySQL, as well as tools such as Excel, Tableau, or Power BI, is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Analytical thinking, attention to detail, and effective communication stand out as key soft skills for interpreting data and explaining results to stakeholders. These competencies enable accurate data-driven decision-making, efficient data management, and clear insights that support organizational goals.

How does a SQL data analyst typically collaborate with cross-functional teams to deliver insights?

As a SQL Data Analyst, collaboration with cross-functional teams such as product managers, engineers, and business stakeholders is a key part of the role. Analysts often gather requirements from these teams, translate business questions into data queries, and present actionable insights through reports or dashboards. Regular meetings and clear communication are essential to ensure that analysis aligns with business objectives and that results are understood and actionable. This collaborative approach not only improves data-driven decision-making but also provides analysts with valuable context, enhancing the impact of their work.

What is the difference between Sql Data Analyst vs Data Engineer?

AspectSql Data AnalystData Engineer
Required SkillsSQL, data visualization, reportingSQL, programming, data pipeline development
CertificationsSQL certifications, data analysis coursesCloud certifications, programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData infrastructure teams, software engineering environments
Industry UsageFinance, marketing, healthcareTech, finance, large-scale data platforms

Sql Data Analysts focus on interpreting data, creating reports, and visualizations using SQL. Data Engineers build and maintain data pipelines and infrastructure to support data analysis. While both roles require SQL skills, Data Engineers typically have programming expertise and work on data architecture, whereas Sql Data Analysts concentrate on analyzing and presenting data insights.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often essential for performing data queries, creating reports, and supporting data-driven decision-making in many organizations.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often required for data analysis roles, alongside skills in data visualization and statistical tools.

Does SQL pay well?

Data analysts who use SQL often earn competitive salaries, especially with experience and proficiency in database management, data visualization, and analytics tools. Salaries vary by industry and location but generally reflect the demand for data skills in the job market.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the widespread need for data management and analysis. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Skills in SQL, data visualization, and critical thinking remain essential, as AI tools are used to augment rather than replace human judgment in data analysis.

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

The most popular types of Sql Data Analyst jobs in Oregon are:

What cities in Oregon are hiring for Sql Data Analyst jobs?

Cities in Oregon with the most Sql Data Analyst job openings:

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

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

Infographic showing various Sql Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 67% Full Time, 8% Part Time, and 25% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $92,589 per year, or $44.5 per hour.

Data Analyst, Revenue Operations

NMI

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 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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