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Python Data Analyst Jobs in Oregon (NOW HIRING)

As a Data Product Analyst at our Retail team, you will: * Ramp up quickly to become the primary ... You have 4+ years of experience working with SQL, Python, Pyspark , or other programming languages ...

Business Intelligence Sr Data Analyst

OR · On-site +1

$106K - $125K/yr

OpenX Technologies, Inc. is looking for a Senior Data Analyst to join our dynamic and high ... such as Python) preferred. Outstanding written and verbal communication skills. Ability to ...

Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

Create Python-based solutions for: * Data extraction * Data transformation * Data quality ... Analyze infrastructure and operational data to identify: * Trends * Risks * Performance issues

Data Scientist 1

Lake Oswego, OR · On-site

$90K - $110K/yr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Data Scientist 1

Portland, OR · On-site

$100 - $125/hr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Data Scientist 1

Portland, OR · On-site

$80 - $100/hr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

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 ...

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 ...

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 ...

Showing results 21-40

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.

What are the most commonly searched types of Python Data Analyst jobs in Oregon?

The most popular types of Python Data Analyst jobs in Oregon are:

What are popular job titles related to Python Data Analyst jobs in Oregon?

For Python Data Analyst jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Python Data Analyst jobs?

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

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.

Data Product Analyst, Corporate

OR • On-site, Remote

YipitData
Marketing Research • 11 - 50 employees

Full-time

Retirement, PTO

Re-posted 11 hours ago


Job description

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work at YipitData:

YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals.

From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

  • Ownership That Matters: You'll lead high-impact projects with real business outcomes
  • Rapid Growth: We compress years of learning into months
  • Merit Over Titles: Trust and responsibility are earned through execution, not tenure
  • Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention

If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for. 

About The Role:

YipitData's Corporate team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why-and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape. 

As part of our continued growth, we are expanding the Data team within our Corporate practice and are excited to welcome a Data Analyst to help deliver high-impact, data-driven products to our Retail clients. 

This is an excellent opportunity for a professional with 4-6 years of experience who is eager to deepen their data analysis skill set, gain direct exposure to clients, and join a rapidly growing team at YipitData. In this role, you will independently manage data quality end-to-end, resolve complex issues across data pipelines and sources, improve category classification and product attribution, collaborate closely with cross-functional partners to ensure our data is accurate, reliable, and clearly understood and help our clients understand our methodology and data limitations.

This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys helping clients get the most value from our data, able to communicate complex problems in simple terms to internal and external stakeholders.

As a Data Product Analyst at our Retail team, you will:

  • Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency
  • Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables 
  • Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage
  • Independently investigate and resolve complex data quality issues
  • Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation
  • Proactively identify opportunities to improve efficiency, robustness, and data quality within your team's workflows, and mentor peers accordingly

You Are Likely To Succeed If:

  • You have 4-6  years of experience in data analytics, data operations, or consulting
  • You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Familiarity with Github and Databricks
  • You have experience using sample or panel data to make precise estimates that guide decision-making
  • You have a proven track record of quickly learning new concepts, particularly complex data methodologies
  • You can clearly communicate complex concepts, both orally and in writing
  • You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company
  • You can manage multiple projects simultaneously, independently prioritize tasks, and make strategic decisions based on client needs
  • You enjoy mentoring peers and raising the quality bar through shared standards and best practices
  • Preferred: Experience supporting market intelligence or data analytics for consumer clients at a consulting or alternative data company, with a strong understanding of their business needs

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
  • The annual on-target earnings for this position is anticipated to be up to $150K + bonus eligible. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. 

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

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