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

Hp

Print Supplies Big Data Analyst

Vancouver, WA · On-site

$105K - $161K/yr

... Python for data analysis, validation, automation, time-series analysis, reproducible workflows, and tooling to support recurring quality checks and investigations SQL , including complex joins, CTEs ...

Hp

Big Data Laser Analyst

Vancouver, WA · On-site

Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge ... analysis, data validation, and automation. Familiar with VSCode and Databricks Ideally Ability to ...

Impact Scale LLC

Data Scientist/Analyst

Vancouver, WA · On-site

$90K - $120K/yr

Experience with Python, R, or another analytical programming language strongly preferred . * Experience with data cleaning, transformation, validation, and quality assurance. * Ability to ...

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

Create Python-based solutions for: * Data extraction * Data transformation * Data quality ... Analyze infrastructure and operational data to identify: * Trends * Risks * Performance issues

SupportFinity™

Staff Data Systems Analyst

Vancouver, WA · On-site

$100 - $130/hr

You can read code (Python, Java, SQL, or similar) well enough to understand data transformations ... Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and ...

New

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Portland, OR

Python Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do python data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for python data analyst 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 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.
More about Python Data Analyst jobs

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

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

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For Python Data Analyst jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Python Data Analyst jobs in Portland, OR look for?

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

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

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

Python Data Analyst jobs near you
Infographic showing various Python 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 $87,640 per year, or $42.1 per hour.

Data Analyst Engineer

Mattson Technology, Inc.

Hillsboro, OR • On-site

$70 - $90/hr

Other

Posted 2 days ago

New

Job description

Data Analyst Engineer

Position Summary: The Data Analyst Engineer is responsible for supporting data‑driven decision‑making and documentation processes by collecting, analyzing, and interpreting system and operational data. This role will work closely with engineering, technical support, and customer teams to ensure accurate reporting, process standardization, and continuous improvement, particularly in support of customer requirements.

Key Responsibilities
  • Collect, analyze, and interpret equipment and system performance data to identify trends, issues, and improvement opportunities
  • Develop and maintain dashboards, reports, and data visualization tools
  • Support predictive analysis to identify potential system failures and improve uptime
  • Collaborate with Technical Support and Engineering teams to document best known methods (BKMs), procedures, and manuals
  • Prepare documentation to align with customer‑specific standards and copy‑exact requirements
  • Manage and maintain documentation related to escalations, corrective actions, and system changes
  • Track, manage, and follow up on action items and key deliverables
  • Ensure data accuracy, integrity, and consistency across systems and reports
  • Support continuous improvement initiatives through data insights and process optimization
Qualifications
  • Master's degree in Engineering, Computer Science, Data Analytics, or a related field
  • 0–3 years of experience in data analysis, engineering, or a related technical role (new graduates encouraged to apply)
  • Proficiency in data analysis tools (e.g., Excel, SQL, Python, or similar)
  • Experience with data visualization tools (e.g., Power BI, Tableau) preferred
  • Strong analytical, problem‑solving, and organizational skills
  • Ability to work cross‑functionally and communicate effectively with technical and non‑technical stakeholders
Preferred Skills
  • Experience in semiconductor or manufacturing environments
  • Familiarity with technical documentation and process standardization
  • Understanding of system performance metrics and predictive analytics
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