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Research Data Analyst Jobs in Portland, OR (NOW HIRING)

... research Unstructured data analysis Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and procurement Measuring and ...

Quantitative research * Unstructured data analysis * Natural language processing * Equipment utilization analysis * Supply/Demand analysis * Inventory level optimization * Supply management and ...

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Research Data Analyst information

See Portland, OR salary details

$40.8K

$78.4K

$105.5K

How much do research data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for research data analyst in Portland, OR is $78,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $104,500.00 per year, depending on experience, location, and employer.

What is a research data analyst?

A Research Data Analyst is a professional who collects, processes, and analyzes data to support research projects across various fields, such as healthcare, social sciences, or business. They use statistical tools and programming languages to interpret complex data sets and help researchers draw meaningful conclusions. Their responsibilities often include data cleaning, statistical analysis, and visualization of results for reports or publications. Research Data Analysts play a crucial role in ensuring the quality and integrity of the data used in research studies.

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

To excel as a Research Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with statistical software (e.g., R, SAS, SPSS), data visualization tools (like Tableau or Power BI), and programming languages (such as Python) is typically required. Attention to detail, critical thinking, and the ability to clearly communicate complex findings are crucial soft skills. These competencies ensure accurate data interpretation, effective collaboration with research teams, and impactful decision-making based on reliable insights.

What are some common challenges research data analysts face when working with large datasets, and how are they addressed?

Research Data Analysts often encounter challenges such as data inconsistencies, missing values, and integrating data from multiple sources when working with large datasets. Addressing these challenges typically involves implementing rigorous data cleaning protocols, utilizing statistical software for data validation, and collaborating closely with research teams to understand the context behind the data. Analysts may also create documentation and standardized procedures to streamline future data processing and ensure data integrity. Staying updated with best practices in data management can help mitigate many of these issues.

What is the difference between Research Data Analyst vs Data Scientist?

AspectResearch Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications in data toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or training
Work EnvironmentResearch institutions, universities, or corporate research divisionsTech companies, finance, healthcare, or any industry leveraging big data
Employer & Industry UsageAcademic, government, and research organizationsPrivate sector, startups, and large corporations

Research Data Analysts focus on analyzing data to support research projects, often working within academic or research settings. Data Scientists have a broader scope, including building predictive models and advanced analytics across various industries. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and work on complex data modeling tasks.

What are the most commonly searched types of Research Data Analyst jobs in Portland, OR?

The most popular types of Research Data Analyst jobs in Portland, OR are:

What cities near Portland, OR are hiring for Research Data Analyst jobs?

Cities near Portland, OR with the most Research Data Analyst job openings:

Infographic showing various Research Data Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,440 per year, or $37.7 per hour.

Contractor

Re-posted 8 days ago


Job description

Company Description

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada.
With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest "Canadian-Owned" IT staffing/consulting company.
Procom's areas of staffing expertise include:
Application Development
Project Management
Quality Assurance
Business/Systems Analysis
Datawarehouse & Business Intelligence
Infrastructure & Network Services
Risk Management & Compliance
Business Continuity & Disaster Recovery
Security & Privacy
Specialties Contract Staffing (Staff Augmentation)
Permanent Placement (Staff Augmentation)
ICAP (Contractor Payroll)
Flextrack (Vendor Management System)

Job Description

Data Analyst 


On behalf of our Client, Procom Services is searching for a Data Analyst for a contract opportunity in Hillsboro, OR. 


Data Analyst Job Details


Activities could include but is not limited to the following: 

Analysis of data to find patterns, 

Development of applications for data gathering and analysis, 

Developing related business processes 

Establishing performance indicators. 

Writing procedures and documentation, 

Reviewing and documenting business and functional requirements, 

Participating in physical inventory audits 

Software development, coding and scripting 

Web design and Multimedia programmer 

Quantitative research 

Unstructured data analysis 

Natural language processing 

Equipment utilization analysis 

Supply/Demand analysis 

Inventory level optimization 

Supply management and procurement 

Measuring and tracking efficiency indicators 


Data Analyst Mandatory Skills


Experience analyzing large data sets, structuring data based on patterns, commonalities, etc..., and be able to summarize that data for decision making. 

Experience working on cross functional teams 


Experience with the following: 

Information science 

Signal processing 

Data mining 

Data warehousing 

Performance computing 

Big Data 

Data extraction and visualization 

Business process analysis: process and workflow efficiency 

Six Sigma training or experience 

Lean manufacturing techniques 

Inventory scheduling systems 

Developing SQL queries 


JMP 

Excel 

MS Visio 


Data Analyst Start Date


ASAP


Data Analyst Assignment Length


7 months


"Please note that we are not able to work with candidates on H1B Visas or candidates represented by third parties."

Additional Information

All your information will be kept confidential according to EEO guidelines. Please send your resume in Word format only.