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Python Data Analyst Jobs in Oregon (NOW HIRING)

Data Scientist

OR · On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

$52.25 - $72/hr

Integration of data storage solutions like databases, key-value stores, blob stores, etc ... Collaborate with architects, analysts, product specialists, and other software engineers. * Conduct ...

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Proficient with Python, databases, and SQL expertise. * Proven ability to work both independently ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Proficient with Python, databases, and SQL expertise. * Proven ability to work both independently ...

Create data pipelines in python, going from raw data to data products needed for visualization or other analytics products. * Understand and analyze complex and organization-specific datasets.

GenAI Python Systems Engineer-Manager

Portland, OR · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Relevant experience in data analysis with advanced SQL, Python/ R skills is required; Experience with user journey tools (e.g., Adobe Analytics) and standard BI tools (e.g., MicroStrategy, Tableau ...

Senior Software Engineer - Integrations - AI/ML

OR · On-site +1

$122K - $161K/yr

SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases * Solid experience with concurrent Python: threading, multiprocessing, and async patterns * Outstanding written ...

GenAI Python Systems Engineer -Senior Manager

Portland, OR · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage Python for data preparation, model training, and result generation. * Model Validation and Monitoring: Rigorously test, validate, and monitor model performance over time. Develop processes ...

$90K - $130K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Data Analytics, or a related field. * 5+ years of experience developing automated processes using Python, DAX, Power Query ...

Data Scientist

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Expertise in using tools like R and Python for data analysis * Proven success supporting or making business decisions based on your data analysis * Excellent communication skills, with experience ...

Showing results 41-60

Python Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do python data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for python data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

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

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

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

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

Infographic showing various Python Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

$119K - $143K/yr

Contractor

Re-posted 9 days ago


Job description


We are looking for a motivated and experienced ML/Software/BigData engineer to join our Advanced Analytics & Machine Learning team. This is a unique opportunity to enhance & upgrade our next generation Data Science Platform that supports a dynamic team of data scientists, data engineers, and data analysts, all working on Demand Sensing related projects.
Qualifications
  • Ability to write robust, maintainable, and extendable code in Python
  • 2 years of BigData/Hadoop experience preferably with Spark
  • 2 year of experience with AWS
  • Experience building Machine Learning/Data Science applications