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Intern 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 ...

Overview Cotiviti is seeking an Data Analytics Intern to join our healthcare data processing and AI ... Develop Python scripts for data analysis, automation, and supporting analytical workflows. * Query ...

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 ...

Business Analyst Intern DKS Associates, an employee-owned company and a leader in transportation ... Python or R * Tableau, Power BI, etc. * Data management systems Pay Range: Intern - $30 DKS is ...

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 ...

OR · On-site

$60K/yr

We are looking for a Data & Analytics Summer Intern to help mature our analytics infrastructure and accelerate our transition into a highly data-driven organization. This role requires an analytical ...

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 ...

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Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst, and why are they important?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
What cities in Oregon are hiring for Intern Python Data Analyst jobs? Cities in Oregon with the most Intern Python Data Analyst job openings:
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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