1

Data Analyst Data Science Jobs in Beaverton, OR (NOW HIRING)

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

... 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 ...

Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

... analysis experience in a high-tech manufacturing, semiconductor, or similar environment is preferred. * Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a ...

... analysis experience in a high-tech manufacturing, semiconductor, or similar environment ispreferred. * Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a ...

Showing results 41-60

Data Analyst Data Science information

See Beaverton, OR salary details

$35.4K

$86K

$141.5K

How much do data analyst data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analyst data science in Beaverton, OR is $85,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Beaverton, OR?

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

What job categories do people searching Data Analyst Data Science jobs in Beaverton, OR look for?

The top searched job categories for Data Analyst Data Science jobs in Beaverton, OR are:

What cities near Beaverton, OR are hiring for Data Analyst Data Science jobs?

Cities near Beaverton, OR with the most Data Analyst Data Science job openings:

Infographic showing various Data Analyst Data Science job openings in Beaverton, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,984 per year, or $41.3 per hour.

Contractor

Re-posted 23 days ago


Job description


Duties:
• Learns and performs technical analytics related to basic data analysis, data mining, and source to target mapping.
• Create context process and system diagrams.
• Work with remote groups such as vendors, other facilities, and or departments to gather and document tactical requirements from the business.
• Ensures standards, processes, and policies are followed.
• Applies global process standards to regional technology solutions.
• Provides input into project mgmt.
• Participates in change management at department and end user level.
• May create reports and configure package solution to unique business requirements.
• Communicate and document system changes to the business.
• Translate system functionality into business relevant language.