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Python Data Analyst Jobs in Oregon (NOW HIRING)

... 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 ...

... and analysis based on business needs and required or available data elements. May provide ... Python, and SAS Business Intelligence • Good English communication skills - ability to ...

... and analysis based on business needs and required or available data elements. May provide ... Python, and SAS Business Intelligence • Good English communication skills - ability to ...

... and analysis based on business needs and required or available data elements. May provide ... Python, and SAS Business Intelligence • Good English communication skills - ability to ...

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the companys ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

... Analyst is responsible for designing, developing, and maintaining data solutions that support ... Proficient in SQL and one or more programming languages (e.g., Python, R). * Experience with ETL ...

... Analyst is responsible for designing, developing, and maintaining data solutions that support ... Proficient in SQL and one or more programming languages (e.g., Python, R). * Experience with ETL ...

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 ...

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 ...

OR · On-site

Alteryx, R, Python). * Excellent verbal and written communication skills, with the ability to ... Conduct analysis of large data sets to support health care quality improvement initiatives ...

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

OR · On-site

Proficient with statistical software packages, such as Python, R, or SAS * Use of analytical techniques including segmentation and data mining * Experience planning, implementing, and summarizing ...

OR · On-site

$140K - $175K/yr

We work closely with Data Scientists and Data Analysts to transform data into meaningful business ... Experienced in SQL-based and python data manipulation with large datasets. * Thrive in a dynamic ...

Business Intelligence Data Analyst

OR · Remote

$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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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 Jun 6, 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.

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.
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 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:
Infographic showing various Python Data Analyst job openings in Oregon as of May 2026, with employment types broken down into 13% As Needed, and 87% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.
Senior Pharmacy Data Analyst

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


WellSense Health Plan rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

45th of 260 rated insurance


Job description

It’s an exciting time to join the WellSense Health Plan, a growing regional health insurance company with a 25-year history of providing health insurance that works for our members, no matter their circumstances.

Job Summary:

The Senior Pharmacy Data Analyst is a highly experienced and results-driven professional who plays a critical role in advancing the strategic objectives of the Pharmacy Department. Reporting to the Manager of Pharmacy Contracting and Reporting, this role operates with a high degree of autonomy and precision, leveraging deep expertise in pharmacy data analytics to deliver timely, actionable insights that drive operational excellence, regulatory compliance, and member health outcomes.

This individual is a master of data strategy—skilled in SAS, SQL, and advanced Microsoft tools—with a proven ability to architect complex data models, streamline reporting processes, and lead cross-functional initiatives. The Senior Analyst is responsible for developing and maintaining enterprise-level dashboards, overseeing regulatory submissions, and serving as the Pharmacy Data Steward, ensuring data integrity across systems and stakeholders.

With a minimum of 10 years of industry experience, the ideal candidate demonstrates exceptional analytical acumen, strategic foresight, and a commitment to producing high-quality deliverables efficiently and independently. This role demands a proactive leader who can translate complex data into compelling narratives, influence decision-making, and support cost-effective, data-driven pharmacy benefit management.

 

Our Investment in You:

·       Full-time remote work

·       Competitive salaries

·       Excellent benefits

Key Functions/Responsibilities:

·       Develop and maintain a centralized dashboard for tracking pharmacy financial, operational, and clinical performance measures.

·       Lead the process of regulatory reporting from development, validation, and submission collaborating with vendor partners to ensure data accuracy.

·       Conduct data queries to monitor performance metrics, including Medicare STAR measures and quality improvement initiatives.

·       Oversee PBM submission of all Part D claims to CMS as PDEs, identifying discrepancies and resolving errors to ensure 100% alignment.

·       Assume the leadership role of Pharmacy Data Steward, advising cross-functional departments on data exchange specifications and serving as the subject matter expert for pharmacy data integrity.

·       Support program processes by conducting User Acceptance Testing (UAT) and Quality Assurance (QA) testing.

·       Collaborate with Pharmacy Department team members to identify, prioritize, and analyze customer needs and requests to include the development and execution of sophisticated data-driven strategies that are closely aligned with the company's overarching mission and strategic objectives

·       Communicate effectively with internal cross-functional areas regarding pharmacy programs, formulary management, and pharmacy processes.

·       Document workflows, perform analysis, and contribute to the design of systems to meet Pharmacy data needs.

·       Deliver compelling presentations of findings and insights to internal stakeholders, effectively communicating complex concepts in a clear, concise, and persuasive manner using Utilize leading BI tools such as Tableau or Power BI.

·       Architect and implement intricate data models, data flows, and data integration processes to ensure the accuracy, reliability, and efficiency of data collection, storage, and retrieval mechanisms.

·       Engage collaboratively with cross-functional teams, including business stakeholders, data scientists, and developers, to identify optimization opportunities and develop innovative, data-driven solutions.

·       Utilize leading BI tools such as Tableau or Power BI to create dynamic, visually compelling reports and distribute actionable insights effectively.

·       Harness advanced tools such as Excel (including VBA), 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 Pharmacy Contracting and Reporting

 

Qualifications:

Education Required:

·       Bachelor's degree in mathematics, information management, information systems, statistics, or an equivalent combination of education, training, and experience.

 

Education Preferred:

·       Master's degree preferred.

 

Experience Required:

·       Minimum of 5 years of healthcare experience.

·       Working knowledge of industry coding standards (e.g., generic product indicators, national drug codes, GPI’s, etc.).

 

Experience Preferred/Desirable:

·       Minimum of 10 years in health insurance or with a PBM

·       Working knowledge of industry coding standards (e.g., generic product indicators, national drug codes, GPI’s, etc.).

·       Extensive experience analyzing pharmacy claims data, formulary utilization, and drug cost trends.

·       Familiarity with Medicare Part D data, STAR measures, and PDE submissions

·       Required Licensure, Certification or Conditions of Employment:

·       Successful completion of pre-employment background check

 

Competencies, Skills, and Attributes: 

·       Excellent written and verbal communication skills, adept at presenting complex data insights to senior leadership, cross-functional teams, and external partners.

·       Advanced technical proficiency in Microsoft Excel (pivot tables, advanced formulas, Power Query), with strong proficiency in SQL for data extraction, transformation, and analysis. Skilled in additional BI and reporting tools (Tableau, Power BI, or equivalent).

·       Deep understanding of IT and business processes, with proven ability to translate clinical and operational requirements into actionable technical solutions.

·       Demonstrated ability to influence, consult, and build consensus across multiple stakeholders, driving collaboration between business, IT, and vendor teams.

·       Strong clinical and operational problem-solving skills with experience in synthesizing large, complex datasets into actionable insights and executive-ready reports.

·       Proficient in designing, developing, and automating queries, dashboards, and ad hoc reports that support strategic decision-making.

·       Committed to data integrity, accuracy, and quality, with meticulous attention to detail and validation processes.

·       Quick to adopt new systems, tools, and analytic approaches, consistently staying ahead of industry trends and best practices.

·       Ability to organize, synthesize, and analyze large volumes of information.

·       Skilled at prioritizing multiple initiatives, managing timelines, and delivering high-quality outputs in fast-paced environments.

·       Detail-oriented with a commitment to producing analytic products of the highest accuracy.

·       Strong interpersonal skills with a track record of thriving in collaborative, team-based environments.

 

Working Conditions and Physical Effort:

·       Ability to work OT during peak periods. (Non-Exempt Positions)

·       Regular and reliable attendance is an essential function of the position.

·       Work is normally performed in a typical interior/office work environment.

·       No or very limited physical effort required. No or very limited exposure to physical risk.

 

Compensation Range 

$77,000 - $111,500

This range offers an estimate based on the minimum job qualifications.  However, our approach to determining base pay is comprehensive, and a broad range of factors is considered when making an offer.  This includes education, experience, skills, and certifications/licensure as they directly relate to position requirements; as well as business/organizational needs, internal equity, and market-competitiveness. In addition, WellSense offers generous total compensation that includes, but is not limited to, benefits (medical, dental, vision, pharmacy), merit increases, Flexible Spending Accounts, 403(b) savings matches, paid time off, career advancement opportunities, and resources to support employee and family wellbeing.  

Note: This range is based on Boston-area data, and is subject to modification based on geographic location. 

About WellSense

WellSense Health Plan is a nonprofit health insurance company serving more than 740,000 members across Massachusetts and New Hampshire through Medicare, Individual and Family, and Medicaid plans. Founded in 1997, WellSense provides high-quality health plans and services that work for our members, no matter their circumstances. WellSense is committed to the diversity and inclusion of staff and their members.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. WellSense participates in the E-Verify program to electronically verify the employment eligibility of newly hired employees


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