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Python Data Analyst Jobs in Oregon (NOW HIRING)

$85K - $108K/yr

Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform rootcause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners. * Define and ...

Senior Data Analyst

OR · On-site +1

$85K - $108K/yr

The Senior Data Analyst will play a crucial role in the Stride Marketing Organization and will work ... Develop and maintain Python-based analytical workflows to support machine learning model ...

Senior Data Analyst

Beaverton, OR · On-site

$89K - $112K/yr

Senior Data Analyst- NIKE, Inc.- Beaverton, OR. Design, develop, and implement new decision support ... Python programming with libraries such as Spark and Pandas • Familiarity with REST API ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

Leverage AI & Next-Generation Analytics - Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and ...

Data Analyst I

OR · On-site +1

$67K/yr

Data Analysts are instrumental members of BlueLabs Data Science and engagement teams. They gain ... Proficient understanding of a statistical programming language such as R, Python, or Julia * The ...

Strong statistics and data analysis skills (e.g., SQL, R, Python, or similar). * Proficiency in mathematical concepts such as probability, statistical inference, and fundamentals of geometry and ...

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 ...

OR

$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 ...

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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 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 Data Analyst

$85K - $108K/yr

Full-time

Posted 27 days ago


Aptive Environmental rating

5.3

Company rating: 5.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

29th of 31 rated pest control companies


Job description

Job Summary

Aptive seeks a seasoned Senior Data Analyst to serve as a technical lead, transforming complex, large-scale datasets into actionable business insights. The candidate must possess a deep functional expertise on VHA systems, processes, and procedures. At a minimum, the Data Analyst, Senior shall possess a master's degree and 10 years of experience. This role will lead data quality and analytics efforts in support of VA's EHRM Rapid Decision Making program, using an array of data analytics tools and will also lean on NLP / ML capabilities. Expertise for this role will enable data-driven decisions for EHRM deployments, SNOW migration, and patient-safety reporting.

Primary Responsibilities
  • Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing graphs and charts to display what is improving and what is getting worse, and leveraging Natural Language Processing / Machine Learning capabilities to advance modeling, coding and development for the data analytics and insights workstream
  • Present to managers how to best alter their business models to generate profitable future trends.
  • In-depth knowledge of VHA Systems and files, to include, but not limited to: Corporate Data Warehouse (CDW); Veterans Health Information Systems and Technology Architecture (VistA); VHA Support Service Center (VSSC); VHA Reports and Measurement Portal (RAMP); Patient Treatment File (PTF) (MedSAS); Managerial Cost Accounting (MCA) System; Primary Care Management Module (PCMM); The National Patient Care Database (NPCD); Veterans Services Network Corporate Mini Master File (VETSNET File); etc.
  • Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing simple graphs and charts to display what is improving and what is getting worse.
  • Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform rootcause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners.
  • Define and operationalize enterprise dataquality rules, thresholds, and KPI scorecards; codify repeatable QC playbooks and automate checks in Power Automate/SQL/Python; publish results in Purview and related governance tools.
  • Lead Tier 0 Tier 1 data stewardship and maintain endtoend lineage/metadata in Purview/Collibra, ensuring accessibility, traceability, and VA/VHA compliance.
  • Certify Tableau/Power BI dashboards and reports against integrity and accessibility standards; coordinate remediation with analytics teams. (Validation/certification-not chart creation-to avoid overlap with bullets 1 & 4.)
  • Embed dataquality gates and validation points in SAFe PI planning, sprint planning, and demos to ensure productionready data.
Minimum Qualifications
  • 10+ years of relevant professional experience in data analysis, data governance, and enterprise reporting (federal healthcare or equivalent large-scale environment preferred).
  • Masters degree.
  • Demonstrated experience supporting large, complex federal agencies; prior VA or DoD experience highly desirable.
  • Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive analytics), Python (data wrangling, automation), Tableau and Power BI (dashboard development, performance optimization).
  • Proven experience with data governance tools (e.g., Microsoft Purview, Collibra) and enterprise systems (e.g., ServiceNow, Power Apps).
  • Ability to engage with and present to Executive-level stakeholders, synthesizing complex data into actionable insights.
  • Strong background in data quality management and advanced analytics to support organizational decision-making.
  • Ability to lead workstreams, mentor junior analysts, and manage cross-functional collaboration.
  • Advanced proficiency with Microsoft Office applications (Excel, Word, PowerPoint) including automation and advanced analytics integration.
  • Public Trust clearance eligibility and U.S. work authorization required.
About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.

We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.

Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Employment Type: FULL_TIME

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