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

Intel Corporation

Data Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

Data Analysis: driving in-depth business data analysis to understand the origin, flow, level of ... Experience in Python, Advanced SQL, Azure, Snowflake, and/or Microsoft Fabric * Working with data ...

Intel

Data Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

Data Analysis: driving in-depth business data analysis to understand the origin, flow, level of ... Experience in Python, Advanced SQL, Azure, Snowflake, and/or Microsoft Fabric * Working with data ...

Flo Analytics

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 ...

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/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 • ...

nLIGHT

Temporary Data Scientist

Vancouver, WA

$45 - $58/hr

Strong background in statistics, data analysis, and correlation methods, withproficiencyin Python, R, or similar analytical tools. * Knowledge ofsemiconductor,laser, or other advanced manufacturing ...

nLIGHT

Temporary Data Scientist

Vancouver, WA · On-site

$45 - $58/hr

Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools. * Knowledge of semiconductor, laser, or other advanced ...

nLIGHT

Temporary Data Scientist

Vancouver, WA

Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools. * Knowledge of semiconductor, laser, or other advanced ...

nLIGHT

Temporary Data Scientist

Vancouver, WA

$45 - $58/hr

Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools. * Knowledge of semiconductor, laser, or other advanced ...

Flo Analytics

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 ...

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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 Jun 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.

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 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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
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Python Data Analyst jobs near you
Data Architect

Data Architect

Intel Corporation

Hillsboro, OR • On-site

$69.50 - $89.25/hr

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

8th of 139 rated electronics manufacturers

Job description

Job Details:
Job Description:
When you join Intel, you become part of a global organization with big ambitions. Our people have had a profound influence on the world by creating radical innovations that revolutionize the way we live. We are driven by our purpose: To create world-changing technology that improves the life of every person on the planet. We develop technologies that bring down barriers and enable tomorrow's greatest scientific breakthroughs and cultural achievements.
We are looking for a Data Architect to join our Corporate Planning Group Data and Analytics team, driving insights and analytics for the organization.
The role's responsibilities may include but are not limited to:
  • Data Analysis: driving in-depth business data analysis to understand the origin, flow, level of detail, and meaning of data used to make decisions, as well as to identify both process-driven and system-driven data gaps or obstacles, along with recommended solutions.
  • Data Requirements: proto-typing data/reporting solutions to drive a meeting of minds across multiple stakeholder groups so we can document and hand off fully vetted, implementable data requirements to IT development teams.
  • Report + Report Dataset Development: designing, documenting, delivering innovative, configurable, highly supportable analytical reporting solutions based on standardized data definitions/practices and certified data sources established by IT.
  • Data Quality + Governance: Partnering with IT, Data Governance, and subject matter experts to create and deploy effective data quality monitors and to advocate for strong data governance.
  • Data Validation: Fully leading or supporting Test Lead in UAT Execution for newly developed or enhanced data integration and reporting solutions through orchestration with IT and subject matter experts.
  • Production Support: establish and follow stabilization/production support SLA's for our team (reporting artifacts) and with IT for the underlying data infrastructure.
  • Drive Data Integration and BI/reporting capabilities directly supporting program requirements.
  • Data Architecture Strategy: Provide inputs to evolve team's data architecture and strategy aligned with business priorities and IT guardrails.

A successful candidate will demonstrate:
  • A drive to investigate data through both people and systems/queries to achieve a comprehensive understanding.
  • An affinity for leading in-depth conversations about data needs and usage and supporting this with active data analysis/experimentation to help teams formulate their data requirements as Intel transitions to Blue Yonder and SAP/S4 over the next several years.
  • The willingness to effectively communicate with both technically minded IT engineers and business-focused subject matter experts.
  • Willingness to proactively transform information into action.
  • A tolerance for the ambiguity that comes with supporting large business and system transformation programs.
  • Skills to analyze data requirements, and design effective database solutions and models, to store and retrieve company data.
  • Data warehousing modelling and data integration design.

Qualifications:
You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. This position is not eligible for Intel's immigration sponsorship.
Minimum qualifications:
  • Bachelor's degree in Business Analytics, Information Systems, Supply Chain Management, or related field of study with 5+ years of relevant work experience. OR a Master's degree in the above fields with 3+ years of relevant work experience.
  • Relevant work experience should include:
  • Data visualization (Power BI)
  • Query languages (e.g., SQL)
  • Experience in Python, Advanced SQL, Azure, Snowflake, and/or Microsoft Fabric
  • Working with data used for demand planning, supply planning, procurement, sales and marketing, manufacturing, finance and/or product master data.

Preferred qualifications:
  • Experience with data modeling.
  • Driving change through data and data solutions.
  • Working experience in supply chain management
  • Track record of designing, implementing, and supporting large scale data and analytics solutions.
  • Experience with AI coding assistants such as Claude, ChatGPT, or Codex in Visual Studio Code or similar IDEs, with the ability to use them to improve development speed, code quality, and engineering efficiency.

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Arizona, Phoenix, US, California, Folsom
Business group:
The Corporate Planning Group (CPG) is the strategic heartbeat of Intel, acting as catalyst for innovation and transformation, guiding the company towards achieving its vision and maintaining a competitive edge in the marketplace. CPG exists to build a comprehensive operating plan that leverages internal and external manufacturing for Intel's growth. We emphasize data-driven innovation and results, ensuring we meet customer demands and financial targets. Join CPG to be part of a forward-looking group that is not just planning for tomorrow, but redefining it.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $136,900.00-269,150.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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