ZipRecruiter

Log In

1

Python Data Analyst Jobs in Oregon (NOW HIRING)

ClickHouse

OR · On-site

$114K - $137K/yr

Our work directly shapes how companies process massive datasets: real-time analytics platforms ... About the role As a Senior Software Engineer specializing in Python and the Data Ecosystem , you'll ...

WellSense Health Plan

Senior Pharmacy Data Analyst

... Python, or R to manipulate, analyze, and visualize data with precision and sophistication. · Other duties as assigned Supervision Received: · General direction and supervision by Manager of ...

Impact Payments Recruiting

Senior Risk Data Analyst

Proficiency with SQL, Python, or similar analytical tools. Experience with automation, data pipelines, or business intelligence platforms. Exposure to fraud analytics, risk modeling, or compliance ...

SiriusPoint

OR · On-site

Strong understanding of data modelling and data processing frameworks such as SSIS, Python and Databricks. * Excellent data analysis and data management documentation skills. * Excellent ...

Upstart

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in ... Python and/or R * Exceptional track record of deriving actionable insights from analysis and ...

Upstart

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.) * Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field * Strong ...

Cotiviti

Overview The Data & Insights Analyst is responsible for leading the design, architecture, and ... Strong programming skills in Python, Spark (PySpark/Scala), or R. * Hands-on experience with ...

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments. * Experience developing dashboards, reports, data visualizations, or business intelligence solutions.

Liberty Mutual

As a Data Solutions Analyst, you will contribute to the development of innovative data products ... Python, Perl, Shell), and the Hadoop stack About Us Pay Philosophy: The typical starting salary ...

YipitData

OR

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 ...

YipitData (Alternative)

OR

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 ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

... Python, SQL and similar. Key Responsibilities: Financial Analytics Development * Partner with ... Build advanced data models to evaluate financial and operational performance, enabling deeper ...

Liberty Mutual

$110K - $155K/yr

This includes analysis of source data to determine transformation requirements for standardization ... Python, Perl, Shell), and the Hadoop stack * Principal: 5-7 years experience in coding for data ...

next page

Showing results 1-20

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 Jul 5, 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.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because 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.
More about Python Data Analyst jobs
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 job categories do people searching Python Data Analyst jobs in Oregon look for? The top searched job categories for Python Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Python Data Analyst jobs? 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 June 2026, with employment types broken down into 1% Internship, 71% Full Time, 9% Part Time, 16% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.
Data Analyst - Non-Profit Social Services

Data Analyst - Non-Profit Social Services

Transition Projects

Portland, OR • On-site

$72K - $83K/yr

Full-time

Posted 28 days ago

Job description

POSITION DESCRIPTION
Position: Data Analyst
Supervisor: Director of Public Policy and Funding
Location: Bud Clark Commons; 665 NW Hoyt St
Hours: Monday - Friday
Starting Salary: $72,800-$83,200 DOE
Classification: Exempt, Unrepresented, Full-Time, Benefits Eligible
GENERAL RESPONSIBILITIES
The Data Analyst is responsible for coordinating the workload of the Information Services team, serving as a project lead, serving as the reporting and data liaison to partner agencies, triaging help desk items, and is responsible for coordinating the training of IS team members. The Data Analyst is responsible for developing key performance indicators, overseeing data collection, and report preparation and submission. Provide accurate and on-time reporting for internal programs and external reporting to funders. Provide technical support to staff using data systems. Ensure data integrity, run routine reports and create new reports as needs arise. Focus of duties may be adjusted at any time.
Data Reporting and Analysis Responsibilities:
  1. Manage the data team.
  2. Oversee staff training on Homeless Management Information Systems (HMIS) database.
  3. Submit timely reports to external funders.
  4. Serve as the data and reporting liaison to partner agencies.
  5. Create reports for internal teams.
  6. Establish key performance indicators.
  7. Structure large data sets to find usable information.
  8. Run and distribute reports..
  9. Prepare final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
  10. Preparing reports for the management stating trends, patterns, and predictions using relevant data.
  11. Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.

PERFORMANCE REQUIREMENTS
Each Transition Projects employee must:
  1. Acquire First Aid/CPR/AED certification within 30 days of hire and be retested biannually thereafter throughout employment.
  2. Complete Bloodborne Pathogens and Narcan Training within 30 days of hire and be retested annually thereafter throughout employment.
  3. Demonstrate reliability by being present for work as scheduled, arriving and leaving on time and taking breaks in expected time frames.
  4. Interact effectively with persons of diverse ethnic backgrounds, religious views, cultural backgrounds, and sexual orientations and treat each individual with respect and dignity.
  5. Attend agency and program staff meetings.

PHYSICAL/MENTAL REQUIREMENTS
The physical and mental demands described here are representative of those that must be met by an employee, with or without accommodation, to successfully perform the essential functions of this job.
  1. Hearing and vision adequate for interaction with participants, interaction with staff and interaction with the general public.
  2. Hearing adequate for telephone work. Vision adequate for close work.
  3. Hand and finger dexterity adequate to operate standard office equipment.
  4. Ability to walk, bend, stand, sit, reach, stoop, pull, squat, and climb stairs and ladders.
  5. Sitting at a desk completing paperwork and working on a computer for lengthy periods.
  6. Mobility to allow responsive traveling to participant residences located around the metro area.
  7. Ability to perform CPR and other emergency life-saving care with the assistance of teammates until emergency responders arrive.
  8. Ability to lift up to 50 pounds

MINIMUM QUALIFICATIONS
The right individual for this position has a passion for helping others, is nonjudgmental, and is able to deal with difficult situations in positive and constructive ways.
  1. Bachelor's degree in Accounting, Computer Science, Computer Information Systems, Information Technology, Data Analytics, Information Systems, or a related field, and at least two (2) years of experience in data analysis, reporting, business intelligence, data management, or a related field; OR three (3) to five (5) years of progressively responsible experience in a similar role.
  2. 2+ years experience with programming languages such as R, Python, SQL, or Oracle preferred.
  3. Experience in handling reporting packages like Business Objects, programming (JavaScript, XML, or ETL frameworks), databases
  4. Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysis.
  5. Training or experience in data analysis and data-based report generation.
  6. Experience cleaning and preparing data.
  7. Experience developing reports and dashboards.
  8. Demonstrated ability to work independently. Ability to appropriately assess a situation and take corrective action as necessary.
  9. Demonstrated ability to work as part of a team in the delivery of services to clients.
  10. Excellent computer skills. Demonstrated ability to use word processing, database, spreadsheet, email, and Internet programs, as well as familiarity with various reporting tools and technologies (SQL and advanced Excel skills highly desirable).
  11. Excellent oral and written communication skills.
  12. Good interpersonal relationship skills.
  13. Basic understanding of the issues surrounding homelessness, chemical dependency, mental health, domestic violence and sexual assault.
  14. Experience working with homeless/low-income population preferred but not required.

Transition Projects, Inc. is an equal opportunity employer and does not discriminate on the basis of race, color, religion, age, gender, sexual orientation, ancestry, national origin, citizenship, marital status, familial status, physical or mental disability, veteran status, genetic information, source of income, union participation or activities, or any other status legally protected by applicable local, state or federal law.
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

Apply