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

Develop and automate data workflows utilizing SQL and Python to reduce manual efforts and enable faster, repeatable analytics across large-scale supply chain datasets. * Leverage AI-powered tools ...

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

Senior Data Analyst, BI & Analytics

Portland, OR

$91.20K - $115.10K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91.20K - $115.10K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the companys ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91.20K - $115.10K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

... Data Analyst Experience in data mining Understanding of machine learning and operations research Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is an asset Experience using ...

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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 May 30, 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?

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.

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:
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:
Infographic showing various Python Data Analyst job openings in Portland, OR as of May 2026, with employment types broken down into 5% As Needed, 71% Full Time, 11% Part Time, 5% Temporary, 5% Contract, and 3% Nights. Highlights an 58% Physical, 24% Hybrid, and 18% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

$90.70K - $114.40K/yr

Contractor

Posted 10 days ago


Job description

Job Description
Job Duties:
• Develop and support data solutions in support of Supply Chain Planning reporting and analytics requirements
• Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities
Requirements
Skills / Qualifications:
• 5+ years of experience with data engineering with emphasis on data analytics and reporting
• Experience developing with scripting languages such as Shell and Python
• Strong experience developing with PySpark, preferably leveraging AWS EMR managed service
• Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
• Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
• Experience working with source-code management tools such as GitHub and Jenkins
• Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions
Additional preferences are:
• Experience developing solutions in Snowflake
• Experience with workload automation tools such as Airflow, Autosys.
• Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos)
• Knowledge of Supply Chain Operations / Manufacturing business processes and objectives
Skill Set
Python, SQL, Data