1

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

... 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 ...

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 ...

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 ...

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 ...

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 ...

... Python (and/or PySpark) for analysis, data validation, and automation. Familiar with VSCode and Databricks Ideally Ability to interpret telemetry and pipeline outputs in business context, including ...

Data Scientist 4

Tualatin, OR · On-site

$120 - $180/hr

Who We're Looking For 5-7+ years of continuous improvement experience, including analytical work ... Proficiency in Python, R, MATLAB, or similar programming environments. * Knowledge of Lean Six ...

New

next page

Showing results 1-20

Python Data Analysis information

See Portland, OR salary details

$14

$62

$91

How much do python data analysis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python data analysis in Portland, OR is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $70.62 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

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

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

What are popular job titles related to Python Data Analysis jobs in Portland, OR?

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

Infographic showing various Python Data Analysis 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 $129,310 per year, or $62.2 per hour.

Data Analyst Engineer

Mattson Technology, Inc.

Hillsboro, OR • On-site

$70 - $90/hr

Other

Posted 3 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
#J-18808-Ljbffr