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

... Python, SQL, Predictive Analytics, SketchUp, ETL, XGBoost, Data Modeling Compensation: Trimble provides the following compensation range and general description of other compensation and benefits ...

GIS Analyst

Portland, OR · On-site

$80K - $86K/yr

Data visualization or analytical tools such as Tableau, Power BI, Python, SQL, or similar tools * Supporting project coordination, task management, or client communication efforts * Consulting or ...

New

Data engineer

Beaverton, OR · On-site

$120K - $144.10K/yr

... SQL, Python and Spark that meet all functional & non-functional requirements • Develop efficient feature capabilities to support proper data extraction & curation for analytical purposes • ...

Data visualization or analytical tools such as Tableau, Power BI, Python, SQL, or similar tools * Supporting project coordination, task management, or client communication efforts * Consulting or ...

GIS Analyst - Portland

Portland, OR · On-site

$80K - $86K/yr

Data visualization or analytical tools such as Tableau, Power BI, Python, SQL, or similar tools * Supporting project coordination, task management, or client communication efforts * Consulting or ...

Digital Analyst Internships

Gresham, OR

$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 ...

Digital Analyst Internships

Vancouver, WA

$104.20K - $123.30K/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 ...

Digital Analyst Internships

Portland, OR

$104.50K - $123.60K/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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Showing results 1-20

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.

Contractor

Posted 19 days ago


Job description

Job Description
WHO ARE WE LOOKING FOR
We are looking for an experienced Data Engineering Manager to lead and manage a team of data engineers and analysts working on building scalable data and analytics solutions. This person will participate in architecture and design discussions, own end-to-end solution delivery, stakeholder management, partner with platform engineering, collaborate with other engineering teams, and will guide and mentor data engineers. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong business acumen, and an innate drive to deliver results. The person in this role will be technically proficient and excel at collaborating with engineers, analysts, and stakeholders. He/she will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.
WHAT WILL YOU WORK ON
In this role, you will manage an engineering team focused on building and delivering scalable data and analytics solutions in our Direct, Supply Chain, and Commercial space. The team will design, implement and integrate new technologies and evolve data and analytics products. You will be contributing to all aspects of data engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. You will also participate in architecture and design discussions to process and store high-volume data sets.
WHO WILL YOU WORK WITH
This role is part of the North America Data & Analytics Organization and you will work with world-class talent in the field of Data Engineering with a goal of better business insights and driving data-driven decisions across the organization. You'll be working closely with Internal stakeholders, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads, and Engineers. One of our maxims is "Win as a Team" and you will be working in a very collaborative environment and will find success in teamwork, a positive attitude, and hard work.
Requirements
WHAT YOU BRING
  • Bachelor's or Master's degree in Computer Science or related field
  • 10+ years relevant work experience in the Data Engineering field
  • 4+ years experience in leading and managing engineering teams
  • 4+ years experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)
  • 2+ years experience building scalable, real-time and high-performance cloud data lake solutions
  • Strong experience with relational SQL and programming languages such as Python, Scala, or Java
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
  • Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
  • Experience provisioning RESTful API's to enable real-time data consumption
  • Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc
  • Experience with data warehouses/RDBMS like Snowflake & Teradata
  • Experience with workflow scheduling tools like Airflow
  • Strong understanding of algorithms, data structures, data architecture, and technical designs.
  • Has a strong problem solving and analytical approach.