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Sql Data Analyst Jobs in Oregon (NOW HIRING)

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

Develop clinical data models using dbt and SQL based on business need and interoperability between existing data models, analysis requirements and data delivery requirements * Develop reports for ...

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

About the Role The Lead Data Analyst is the senior individual contributor on our Data Analytics ... Expert-level SQL. Strong Python for statistical work. * Advanced Looker or comparable BI tool ...

Data Analyst Job Details Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and ...

Data Analyst Job Details The successful candidate for this position will provide operational reporting and analysis in support of the B2B marketing strategy for digital content. Coordinating efforts ...

Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater ... SQL, and data visualization tools (e.g., Power BI, Tableau) - Excellent communication skills with ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the ...

Sr Data Analyst

$70K - $105K/yr

... SQL, Python, DataViz are a plus but not required. Education & Experience Required * Bachelor ... depth data analysis to identify trends, patterns, and insights related to Client program ...

Senior Data Analyst

OR · On-site +1

$80/hr

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ... Strong knowledge of SQL, familiarity with Python, and experience digging into JSONs, logs, or API ...

Expert-level SQL proficiency; ability to write complex queries, optimize performance, and work with large-scale transactional datasets * Proficiency in Python or R for statistical analysis, data ...

Role Overview This position is for a lead data analyst with a background in Payroll. The role ... Oracle HCM Payroll and Alteryx are highly preferred, however if there is strong SQL, Tableau ...

Familiarity with SQL, Python, or data analysis tools is preferred. * Experience using business intelligence tools such as Power BI or Tableau is preferred. * Experience cleaning data, data ...

Familiarity with SQL, Python, or data analysis tools is preferred. * Experience using business intelligence tools such as Power BI or Tableau is preferred. * Experience cleaning data, data ...

Lead Data Analyst, Marketing

OR · On-site +1

$86K - $107K/yr

Expert SQL & Comfortable with Unstructured Complex Data : Extracts accurate insights from raw ... Minimum 7 years in business intelligence or analytics with direct exposure to performance or ...

Showing results 21-40

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 5, 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.

Senior Data Analyst

Tempus

OR • On-site, Remote

$90K - $125K/yr

Full-time

Re-posted 17 hours ago


Key responsibilities

  • Develop clinical data models using dbt and SQL based on business needs and data interoperability requirements.

  • Create reports for monitoring, KPI metrics, and visualization of study performance.

  • Build data automation pipelines for data delivery and post-processing of raw data for analysis.


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical evidence studies with the mission of delivering personalized care to cancer patients.

What you'll do:

  • Develop clinical data models using dbt and SQL based on business need and interoperability between existing data models, analysis requirements and data delivery requirements

  • Develop reports for central monitoring, KPI metrics, visualization of study performance and

  • Develop data automation pipelines for data delivery, data handling routines for post-processing of raw data for analysis-ready data sets

  • Support the development and maintenance of integration of data across data marts, including management of de-identification of protected health information

  • Support best practices code maintenance, validation and documentation

Qualifications:

  • 5+ years of relevant work experience, preferably in an analytical or consulting role within or in support of the Life Sciences or Healthcare industry

  • Strong command of SQL and other scripting languages (R or Python)

  • Experience using Business Intelligence Software such as Looker

  • Experience in oncology, cancer genomics, molecular biology and/or clinical trials, as demonstrated by focus area in school/university, a side project, or previous work experience

  • Experience building client-ready deliverables and other outputs

  • Experience working with disorganized data from various sources and translating raw data into practical insights and recommendations

  • Experience with data manipulation, cleaning, and visualization

  • Excellent communication skills with demonstrated ability to communicate with diverse audiences

  • Ability to take ownership of deliverables, navigate ambiguity and juggle multiple projects simultaneously

  • Goal orientated, self motivated, and driven to make a positive impact in healthcare

  • Thrive in a fast-paced environment and willing to shift priorities seamlessly

#LI-DA1

CHI - $80,000-$115,000

NY/CA - $90,000-$125,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.