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Python Data Analyst Jobs in Oregon (NOW HIRING)

Upstart

Staff Analyst

OR · On-site +1

$61K - $81K/yr

As a Staff Data Analyst at Upstart, you will own the monitoring and reporting of model and credit ... Experience with Python and SQL * Strong analytical and first-principles thinking, with the ability ...

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 ...

Autodesk, Inc.

Data Scientist, FP&A Solutions

Portland, OR · On-site

$150 - $200/hr

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Develop Python-based analytical models, forecasting solutions, simulations, and automation for ...

Webflow

Director, Analytics Engineering

OR · On-site +1

Proficiency with SQL, Python, data modeling, ETL/ELT, and cloud warehouses (particularly dbt ... You'll thrive as a Director, Analytics Engineering if you: * Possess demonstrated strategic ...

SOSi

Data Scientist

OR · On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

BizTek People, Inc. | APA International Placement Consultants

$52.25 - $72/hr

Integration of data storage solutions like databases, key-value stores, blob stores, etc ... Collaborate with architects, analysts, product specialists, and other software engineers. * Conduct ...

SOSi

Data Scientist

OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Elite eXceed

Sr. Data Engineer

Beaverton, OR · On-site

$100 - $125/hr

Design and implement features in collaboration with product owners, reporting analysts / data ... Experience in data-centric programming languages (e.g., Python or Go) * Experience with Terraform

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 ...

Core4ce Careers

... through data integration, simulation, and interactive analysis. This is a hands-on software ... Design and build Python services, APIs, data-processing workflows, and simulation capabilities.

Siemens

$18 - $50/hr

Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital engineering, PLM, or engineering data management concepts is a plus. * Strong communication ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Oregon

Python Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do python data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 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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For Python Data Analyst jobs in Oregon, the most frequently searched job titles are:

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The top searched job categories for Python Data Analyst jobs in Oregon are:

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Cities in Oregon with the most Python Data Analyst job openings:

Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Staff Analyst

OR • On-site, Remote

Upstart
See more jobs at Upstartexternal

$61K - $81K/yr

Full-time

Posted 29 days ago

Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

The Team: 

Upstart's Personal Loans Underwriting and Credit Analytics team is responsible for building, improving, and monitoring Upstart's core underwriting model. This model powers our decisions on which loans to approve and at what rates, and as such, it is central to the company's success.

As a Staff Data Analyst at Upstart, you will own the monitoring and reporting of model and credit performance for Personal Loans. This role provides regular visibility to senior leadership and plays a key role in shaping data-driven decisions at the highest levels of the organization.

In addition to owning recurring reporting and performance tracking, this role requires strong analytical curiosity and investigative rigor. You will proactively monitor portfolio and model performance, identify emerging trends, diagnose unexpected outcomes, and ultimately recommend actionable treatments. This role is well-suited for someone who enjoys going beyond standard reporting to conduct deep analytical investigations and drive meaningful business impact.

How you'll make an impact

  • Own credit and performance monitoring for the Personal Loans product
  • Identify performance trends and go deeper to understand root causes and recommend targeted treatments
  • Perform rigorous statistical analyses to evaluate past experiments and natural experiments
  • Build and maintain workflows that automate and scale standard reporting

Minimum Qualifications 

  • Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance, Operations Research, Physics, or related field)
  • Experience with Python and SQL
  • Strong analytical and first-principles thinking, with the ability to tackle complex and ambiguous problems
  • Strong communication, presentation, and collaboration skills; especially with the ability to clearly articulate complex analytical concepts to diverse audiences
  • 6+ years of  experience in analytics, data science, or a related quantitative field.

Preferred Qualifications

  • PhD in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance, Operations Research, Physics, or related)
  • Experience and familiarity with finance, especially as it related to lending

Position location This role is available in the following locations: Remote

Time zone requirements The team operates on time zones ranging from EST to PST.

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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#LI-MidSenior 

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