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Python Data Analyst Jobs in Oregon (NOW HIRING)

Data Analyst

OR · On-site +1

$70K - $82K/yr

Validating and analyzing data in Excel: 60% * Customer-facing interactions: 30 ... Writing or updating SQL, Python, and various other tasks: 10% Candidates should be passionate about ...

Data Analyst

OR · On-site +1

An analyst here can own a data product end-to-end - from methodology to client delivery - and ... You have strong fluency in SQL, with experience using Python or PySpark as a plus - particularly ...

Associate Data Analyst

OR · On-site +1

$55K - $65K/yr

We're seeking a Data Integration Analyst to support the successful implementation of Bluesight ... Experience coding with Python or Ruby or other scripting language * Experience working with PHI ...

Data Analyst

$52K - $80K/yr

... Python, DatViz Tools are a plus but not required. Education & Experience Required * Bachelor ... depth data analysis to identify trends, patterns, and insights related to Client program ...

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

About the Role The Lead Data Analyst is the senior individual contributor on our Data Analytics ... Strong Python for statistical work. * Advanced Looker or comparable BI tool experience - LookML ...

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ... Strong command of SQL and other scripting languages (R or Python) * Experience using Business ...

Sr Data Analyst

$70K - $105K/yr

... SQL, Python, DataViz are a plus but not required. Education & Experience Required * Bachelor ... depth data analysis to identify trends, patterns, and insights related to Client program ...

Senior Data Analyst

OR · On-site +1

$80/hr

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ... Strong knowledge of SQL, familiarity with Python, and experience digging into JSONs, logs, or API ...

Proficiency in Python or R for statistical analysis, data modeling, and exploratory analysis * Strong analytical skills: ability to define metrics, diagnose root causes, and translate data insights ...

Familiarity with SQL, Python, or data analysis tools is preferred. * Experience using business intelligence tools such as Power BI or Tableau is preferred. * Experience cleaning data, data ...

Familiarity with SQL, Python, or data analysis tools is preferred. * Experience using business intelligence tools such as Power BI or Tableau is preferred. * Experience cleaning data, data ...

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 ...

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 ...

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 ...

Business Intelligence Data Analyst

OR · On-site +1

$93K - $110K/yr

Data Analyst - Business Intelligence Location: Remote Position Summary: OpenX Technologies, Inc. is ... such as Python) preferred. Outstanding written and verbal communication skills. Ability to ...

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Showing results 1-20

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 8, 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 Analyst

OR • On-site, Remote

Bluesight
Software Development • 51 - 200 employees

$70K - $82K/yr

Full-time

Retirement, PTO

Posted 19 days ago


Key responsibilities

  • Validate, reconcile, and analyze data input from disparate systems to ensure data integrity using Excel.

  • Communicate data findings, troubleshoot, and resolve technical issues with customers and internal teams.

  • Perform data extraction using SQL and develop solutions to support automation of reporting needs.


Job description

At Bluesight, our mission is to create groundbreaking solutions that increase efficiency, safety and visibility for health systems, hospital pharmacy, and pharmaceutical manufacturers.  We empower our customers to deliver the right medicine to the right patient at the right time, every time.  We are a high growth healthcare information technology company with a start-up 'vibe' but over 3,000 customers using our proven solutions.
 

We're looking for a Data Analyst to support the implementation of Bluesight SaaS products for our hospital customers. This person collects data, synthesizes and interprets results from a variety of disparate systems. The role will be responsible for finding and interpreting pertinent data points from both internal and external healthcare database source systems and developing analytical solutions using various business intelligence tools.  

Typical work breakdown: 

  • Validating and analyzing data in Excel:  60%
  • Customer-facing interactions: 30%
  • Writing or updating SQL, Python, and various other tasks: 10%

Candidates should be passionate about Excel, comfortable working directly with customers, and capable of leveraging SQL/Python/Ruby when needed to support file ingestion and automation.

Duties & Responsibilities
  • Validate, reconcile, provide quality assurance, and analyze data input from disparate systems to ensure data integrity using Excel
  • Communicate data findings and serve as a point person for troubleshooting and resolving technical issues.
  • Partner with the implementation project lead and the customer to track progress, provide timely updates, and review data points with customers
  • Perform data extraction tasks using multiple databases through SQL
  • Develop solutions to support the SFTP automation of ongoing reporting needs
  • Acquire and retrieve data as necessary and assist in troubleshooting of data issues to ease end-user use of application
  • Other duties as assigned
Required Qualifications & Skills
  • Bachelor's degree, or equivalent experience
  • 2+ years of experience in data analysis, experience in the healthcare industry a plus
  • Deep expertise and enthusiasm for Microsoft Excel and for using it to solve complex problems and trend data
  • Moderate experience with SQL for data extraction and transformation
  • Communicates promptly and effectively with both customers and internal teams, which includes both non-technical and technical audiences
  • Strong problem-solving and troubleshooting skills with high attention to detail
  • Proven ability to manage multiple projects, balance competing priorities, and meet goals and deadlines
  • Self-starter with a demonstrated history of success, multiple examples of taking initiative, and the ability to thrive in a fast-paced, high-pressure environment
  • Strong interpersonal and customer service skills, with the ability to collaborate effectively in teams and consistently meet or exceed customer expectations
  • Strong verbal and written communications skills
Preferred Qualifications
  • Experience working on an Operations team, especially in an implementation-focused role
  • Familiarity with installing or implementing SaaS products in a client environment
  • Knowledge of hospital EHR systems (e.g. Epic, Oracle (Cerner), MEDITECH, etc.)
  • Knowledge of hospital ADC systems (e.g. PyxisES, Omnicell, etc.)
  • Experience coding with Python or Ruby or other scripting language
  • Experience working with PHI, understanding of HIPAA
$70,000 - $82,000 a year
Bluesight offers a variety of health and wellness benefits to employees. The pay range for this position is $70,000 - $82,000 and includes eligibility for an annual discretionary bonus in addition to base salary. The actual wage offered may be lower or higher depending on candidate's experience, knowledge, skills, qualifications and premium geographic location.
This position is open to applicants in the continental United States.
 
Why Bluesight?
Bluesight's culture is built on innovation and teamwork. There's room to grow and opportunities to take initiative. You will partner with sharp, motivated teammates looking to disrupt a massive industry-and have fun doing it.  We truly believe that where you work and what you do matters.  Join us as we revolutionize the hospital pharmacy landscape!
-Competitive salary
-Time off when you need it - unlimited vacation days!
-Generous insurance coverage
-401k program with a company match
-Fun, collaborative culture!
 
EOE AA M/F/VET/Disability
 
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, religion, color, national origin, sex, protected veteran status, disability, or any other basis protected by federal, state or local laws.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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