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Data Analysis Intern Jobs in Oregon (NOW HIRING)

DKS Associates

Business Analyst Intern

Portland, OR · Hybrid

$30/hr

We are looking for an energetic, organized, self-motivated candidate with strong data analysis and ... Intern - $30 DKS is proud to be 100% employee-owned with a commitment to making a meaningful ...

Logistics Management Institute

$18.75 - $25.25/hr

Overview LMI is seeking a Mechanical Engineering Analyst Intern to provide technical and ... This role offers an opportunity to apply engineering fundamentals, data analysis, and design ...

Delfina

OR

$6K/mo

Support sales, marketing, and growth initiatives through data analysis, market research ... We are looking for a data science-oriented intern to join our Sales Enablement team for summer 2026.

Danaher

Digital Analyst Internships

Gresham, OR

$104K - $123K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

Danaher

Digital Analyst Internships

Eugene, OR

$98K - $117K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

Danaher

Digital Analyst Internships

Salem, OR

$99K - $117K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

Danaher

Digital Analyst Internships

Portland, OR

$104K - $123K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

Grow Financial Federal Credit Union

$20/hr

... analysis ... Must be comfortable working with large amounts of data in multiple systems and can synthesize it ...

1 800 Flowers

Intern, Supply Chain Operations

Medford, OR

$18.25 - $24.50/hr

... data analysis and problem solving, and cross functional collaboration and communication. This role is ideal for students who are curious, motivated, and eager to learn in a fast-paced, innovative ...

1-800-Flowers

Intern, Supply Chain Operations

Medford, OR

$18.25 - $24.50/hr

... data analysis and problem solving, and cross functional collaboration and communication. This role is ideal for students who are curious, motivated, and eager to learn in a fast-paced, innovative ...

Duncan Family Farms

Summer Intern - Food Safety

Merrill, OR · On-site

$13.75 - $18.25/hr

Food Safety Field Researcher Intern Duncan Family Farms Location: Goodyear, AZ Schedule: Paid ... Data analysis and reporting skills * Collaboration across agricultural teams What We're Looking For

Duncan Family Farms

Summer Intern - Food Safety

Merrill, OR

$13.75 - $18.25/hr

Food Safety Field Researcher Intern Duncan Family Farms Location: Goodyear, AZ Schedule: Paid ... Data analysis and reporting skills * Collaboration across agricultural teams What We're Looking For

Stem Xpert

Data Analyst

Salem, OR

Data Analysis * GIS/Lidar Technology Additional Information Kindly reach me at 734-357-8988 or just Email me @ sathish dot balla at tekwissen dot com

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How much do data analysis intern jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data analysis intern in Oregon is $23.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.91 per hour, depending on experience, location, and employer.

What are some common challenges faced by Data Analysis Interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What Do Data Analysis Interns Do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What does a Data Analysis Intern do?

A Data Analysis Intern assists in collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, or Python to analyze datasets, create visualizations, and generate reports. Interns work under the supervision of experienced data analysts or data scientists, learning to apply statistical techniques and solve real-world business problems. This role provides hands-on experience in data analytics and helps interns develop valuable technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Analysis Intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
More about Data Analysis Intern jobs
What are the most commonly searched types of Data Analysis jobs in Oregon? The most popular types of Data Analysis jobs in Oregon are:
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What job categories do people searching Data Analysis Intern jobs in Oregon look for? The top searched job categories for Data Analysis Intern jobs in Oregon are:
What cities in Oregon are hiring for Data Analysis Intern jobs? Cities in Oregon with the most Data Analysis Intern job openings:
Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Oregon as of June 2026, with employment types broken down into 2% Internship, 29% Full Time, 56% Part Time, 3% Temporary, 9% Contract, and 1% Nights. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $49,491 per year, or $23.8 per hour.
AI Intern, Data Engineering & Agent Workflows (Unpaid)

AI Intern, Data Engineering & Agent Workflows (Unpaid)

Armada

OR • Remote

Other

Posted 18 days ago

Job description

About the role:

We are seeking a motivated AI Intern to join the Data & AI Agent team and help build the data infrastructure, AI agents, and automated workflows that power Armada's go-to-market motion. This is a hands-on role focused on data engineering and applied AI - not traditional ML research. You'll work directly with the Head of Data and AI Agent on the systems that turn fragmented Salesforce, SharePoint, and operational data into a single source of truth, and on the AI-powered tooling (lead scoring, signal intelligence, internal copilots) that runs on top of it. 

We are seeking a motivated Intern (unpaid) to join our team. This unpaid internship program is tailored for engineering students seeking to enrich their academic learning with practical, hands-on experience in the field.

Location: This role is remote.

Key Responsibilities: 

  • Build and maintain data pipelines across Salesforce, SharePoint, Excel, and operational systems into our StarRocks data warehouse using dbt and Python. 
  • Develop and ship AI agents and copilots using the Claude API (and other LLM tooling) for use cases like lead scoring, account research, call analysis, and internal Q&A over company data. 
  • Design and automate cross-system workflows using Power Automate, Teams Adaptive Cards, and lightweight Python/FastAPI services to replace manual, spreadsheet-driven processes. 
  • Model business data in dbt and Omni - building reusable semantic models, metrics, and dashboards that GTM, RevOps, and leadership rely on. 
  • Enrich and clean prospect and account data using sources like ZoomInfo, LinkedIn Sales Navigator, and public government datasets (e.g., USASpending, SAM.gov, FCC, EIA, FERC, SEC EDGAR). 
  • Prototype and ship internal tools end-to-end - backend (Python/FastAPI), frontend (Vite/React), and storage (PostgreSQL, StarRocks) - for AI-prioritized daily workflows. 
  • Write clear documentation for data models, pipelines, agents, and workflows so the team can extend and maintain them. 
  • Collaborate with GTM, RevOps, Finance, and product teams to translate business questions into data and automation solutions. 
  • Stay current on advances in agentic AI, retrieval, evals, and the modern data stack - and bring useful ideas back to the team.
  •  

Qualifications: 

  • Pursuing or recently completed a degree in Computer Science, Data Science, Data Engineering, Information Systems, Analytics, or a related field. 
  • Strong Python skills, including experience with libraries like Pandas, requests, and FastAPI or Flask. 
  • Solid SQL skills - able to write and debug analytical queries (joins, window functions, CTEs) against real-world, messy data. 
  • Familiarity with the modern data stack (dbt, a columnar warehouse such as StarRocks/Snowflake/BigQuery/Databricks, and a BI tool such as Omni, Tableau, Looker, or Power BI). 
  • Hands-on experience building something with an LLM API (Claude, OpenAI, etc.) - even a side project counts. Familiarity with prompt design, tool/function calling, or RAG is a strong plus. 
  • Exposure to workflow automation tools (Power Automate, Zapier, n8n, Airflow, or similar). 
  • Comfort with Git and basic software engineering practices (branches, PRs, code reviews). 
  • Strong problem-solving and analytical skills; able to work independently and in a team-oriented environment. 

What You'll Gain: 

  • Hands-on experience working with modern AI, automation, and data engineering tools in a real-world business environment
  • Exposure to cutting-edge technologies including LLMs, workflow automation, and cloud data platforms
  • The opportunity to build impactful projects used by GTM, RevOps, Finance, and leadership teams
  • Mentorship and collaboration with experienced engineers and business leaders
  • Practical experience with Python, SQL, dbt, APIs, dashboards, and AI-powered workflows
  • A stronger technical portfolio and resume through meaningful, production-focused projects
  • Insight into how AI and data systems drive decision-making and operational efficiency in a fast-growing technology company
  • Professional development in problem-solving, communication, collaboration, and cross-functional teamwork

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