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

Ohm Systems, Inc

Sr Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Spark * Python * Snowflake * SQL * Experience with AI tools and initiatives * Excellent ... Experience with data analytics and BI tools Role Responsibilities: * Contribute to Design and ...

A-dec, Inc.

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 ...

A-dec, Inc.

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 ...

Pwc

GenAI Python Systems Engineer-Manager

Portland, OR · On-site

$99K - $232K/yr

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 ...

A-dec, Inc. (USA)

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

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 ...

New

Ohm Systems, Inc

Be Seen First

Sr. Data Engineer

Beaverton, OR · On-site

$70 - $75/hr

Spark * Python * Snowflake * SQL * Experience with AI tools and initiatives * Excellent ... Experience with data analytics and BI tools WHAT YOU WILL WORK ON Role Responsibilities:

SupportFinity™

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

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Strong hands-on experience with Databricks, Spark, Python, Snowflake, and SQL . * Experience with AI tools and initiatives ; finance-domain experience and data analytics/BI experience are highly ...

New

Danaher

Digital Analyst Internships

Vancouver, WA · On-site

$104K - $123K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Gresham, OR · On-site

$104K - $123K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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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.
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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.

Sr Data Engineer

Ohm Systems, Inc

Beaverton, OR • On-site

$120K - $145K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

On-site role at Beaverton, Oregon

  • Typical work hours, 4/1 hybrid schedule 
  • Degree will be required for this role 
  • AWS, Databricks certifications nice to have, not required 
  • 10+ years’ experience minimum preferred in a data-related role
  • Prior Nike experience required
  • Top must-have skills include the following: 
    • Databricks 
    • Spark 
    • Python 
    • Snowflake 
    • SQL 
    • Experience with AI tools and initiatives 
    • Excellent communication skills 
  • Skills that would make a candidate stand out: 
  • Experience with/knowledge of finance domain 
  • Experience with data analytics and BI tools

Role Responsibilities:

  • Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
  • Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
  • Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing
  • Translate product backlog items into logical units of work in engineering
  • Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
  • Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns
  • Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed
  • Build and incorporate automated unit tests and participate in integration testing efforts
  • Utilize and advance continuous integration and deployment frameworks
  • Troubleshoot data issues and perform root cause analysis
  • Work across teams to resolve operational & performance issues

Must Have:

  • Bachelor’s degree in Computer Science, or related technical discipline
  • 10+ years of experience in large-scale software development, 5+ years of big data experience
  • Extensive AI knowledge and experience.
  • Programming experience, Python or Scala preferred.
  • Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
  • Experience with messaging/streaming/complex event processing tooling and frameworks
  • Experience with data warehousing concepts, SQL and SQL Analytical functions
  • Experience with workflow orchestration tools like Apache Airflow
  • Experience with source code control tools like Github or Bitbucket
  • Ability to communicate effectively, both verbally and written, with team members
  • Interest in and ability to quickly pick up new languages, technologies, and frameworks
  • Experience in Agile/Scrum application development
  •  

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