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

Role Overview This position is for a lead data analyst with a background in Payroll. The role involves solving client analytics problems, communicating results, and developing experimental design ...

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 ...

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

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 ...

Showing results 41-60

Data Analyst Data Science information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

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

As of Sep 3, 2026, the average yearly pay for data analyst data science in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 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 job categories do people searching Data Analyst Data Science jobs in Portland, OR look for?

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

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

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

Infographic showing various Data Analyst Data Science 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 $87,640 per year, or $42.1 per hour.

Contractor

Re-posted 23 days ago


Job description


Job Overview:
We are looking for a Reporting Analyst for the Global Quality, Compliance, and Reporting Team.In this role you will help elevate our team to the next level and beyond by providing operation reporting and analysis for our Core HR Operations and our Learning & Development teams. You will collaborate with our reporting team, stakeholders, and HR Analytics to ensure data is understood, accurate, and trusted to be used for reporting and dashboard creation. You will be responsible for supporting Core HR and Learning & Developing initiatives through efficient and sustainable end-to-end reporting design. You will manage delivery of recurring reports, develop, maintain, and continuously improve dashboards and reporting processes, while being a direct partner for day-to-day data requests.
Must be a team player who is energetic, solutions focused, service-oriented and able to work in a dynamic and fast paced environment. Who can quickly understand and reconcile gaps, overlaps, and contradictions within reports and reporting tools; assess reporting and data requirements from our partners and determine how we can solution these needs with automated solutions.
Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets to locate influences. Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge. Creates specifications for reports and analysis based on business needs and required or available data elements. May provide consultation to users and lead cross- functional teams to address business issues. May directly produce datasets and reports for analysis using system reporting tools.
Generates reports and regular datasets or report information for end- users using system tools and database or data warehouse queries and scripts. Integrates data from multiple sources to produce requested or required data elements. Programs and maintains report forms and formats, information dashboards, data generators, canned reports and other end- user information portals or resources. May create specifications for reports based on business requests.
Requirements
  • 3 - 5 years of relevantexperience required - HR, Operations, or Learning & Developmentexperience strongly preferred
  • Well versed with datavisualization and blending tools such as Tableau and Alteryx
  • Advanced Excel knowledge
  • Experience with ticketingsystem data - ServiceNow experience is a huge plus!
  • Experience with LearningManagement Software
  • Strong analytical and problem-solvingskills
  • Ability to turn data intovisualized, actionable analyses and metrics - make data tell a story.
  • Utilize existing tools(with training from the team) to answer questions from a queue, CustomerService is key, ServiceNow queue (experience not required but great),Tableau, Excel efficiency
  • Understanding ofrelational databases or data warehouses
  • Experience working withhighly confidential data
  • Excellent written andverbal communication and ability to create detailed process documentation
  • HR is a plus

Pay Rate: $34 to $25 per hour