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Data Analyst Graduate Intern Jobs in Oregon (NOW HIRING)

$32 - $40/hr

Creates research papers, analytical reports, proposals, and educational material. Maintains a deep ... Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data ...

OR

$15 - $20/hr

Position Overview As an Intern on the Intelligence Solutions team at Everstream Analytics, you ... Analyze incoming data streams for relevancy and impact, and report time-sensitive risk alerts for ...

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ... Graduate degree strongly preferred * Minimum 3 years of experience as a Data Scientist ...

The intern will contribute to various marketing initiatives and campaigns, assisting our marketing ... analyzing data and generating reports to identify opportunities and make data-driven marketing ...

Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or ... Data Analysis * Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems

The Role We're bringing on a PM intern to support the Host Squad product team during a high ... Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ...

OR

$70K - $75K/yr

Bachelor's degree in business, economics, data analytics, engineering, or a related field, or graduate degree, with 5+ years of combined experience in energy efficiency program analysis, market ...

New

Pricing Analyst

Portland, OR · Hybrid

$80K - $100K/yr

An undergraduate or graduate degree, preferably in Accounting, Finance, Economics or Data Analytics. * 3-5 years of experience as a financial analyst or in a comparable position in a law firm ...

As a Customer Growth Program Intern, you will help bridge the gap between supporting existing ... Help with analyzing customer data such as: usage data, adoption trends, and health score to help ...

You will be responsible for collecting and analyzing a variety of intelligence data, and processing ... Graduate level education must demonstrate the competencies necessary to do the work of the position ...

Showing results 41-60

Data Analyst Graduate Intern information

What types of projects and datasets do data analyst graduate interns typically work with?

As a Data Analyst Graduate Intern, you can expect to work on a variety of projects involving real business data, such as sales trends, customer behavior, or operational metrics. Interns often collaborate with senior analysts and cross-functional teams to clean, analyze, and visualize data, helping to inform business decisions. Projects may range from ad-hoc data requests to supporting ongoing business intelligence initiatives, providing exposure to industry-standard tools like SQL, Excel, and data visualization platforms. This hands-on experience is invaluable for building technical skills and understanding how data-driven insights impact organizational strategy.

What does a data analyst graduate intern do?

A Data Analyst Graduate Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They work under the supervision of experienced analysts, using tools like Excel, SQL, and data visualization software to interpret trends, create reports, and present findings. Interns also help in cleaning and organizing raw data, running basic statistical analyses, and supporting the team on various projects. This role provides hands-on experience and exposure to real-world data problems, making it a valuable stepping stone for a career in data analytics.

What skills and qualifications are needed to thrive as a data analyst graduate intern?

To thrive as a Data Analyst Graduate Intern, you need a solid grounding in statistics, data analysis, and familiarity with data visualization, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency with technical tools like Excel, SQL, Python, or R, and experience with analytics platforms such as Tableau or Power BI are commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital for deriving actionable insights from data, presenting findings clearly, and supporting data-driven decision-making processes.

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

AspectData Analyst Graduate InternData Analyst
QualificationsTypically pursuing or recently completed a degree in data science, statistics, or related fieldUsually holds a degree in a relevant field; may have more experience or certifications
Work EnvironmentInternship setting, often in corporate or tech companies, with supervised tasksFull-time role with more independent responsibilities in data analysis projects
ResponsibilitiesAssisting with data collection, cleaning, and basic analysis under supervisionPerforming data analysis, creating reports, and providing insights independently

The main difference between a Data Analyst Graduate Intern and a Data Analyst lies in experience and responsibility level. Interns are typically in training, assisting with tasks, while Data Analysts are fully responsible for analyzing data and generating insights. Internships serve as a stepping stone toward a full Data Analyst role.

Principal Data Scientist

Columbia Sportswear Company

Portland, OR • On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Columbia Sportswear rating

7.0

Company rating: 7.0 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

18th of 104 rated fashion retailers


Job description

Location: Hybrid role based out of headquarters near Portland, Oregon. Employees are expected to work onsite four days per week, with the possibility of adjustments based on business needs.

About the Position

The Principal Data Scientist is a member of the Data & Analytics (D&A) team within Columbia Sportswear’s Digital Technology group. This role supports the delivery of innovative analytical solutions to address strategic challenges and opportunities across the organization, with a focus on Direct-to-Consumer initiatives.

Responsibilities
  • Design and build scalable models that leverage best‑in‑class statistical and machine‑learning techniques for integration into analytics workflows across the business.
  • Collaborate with D&A teammates and business partners to translate business requirements into advanced analytics solutions.
  • Conduct exploratory data analyses and data mining to uncover underlying patterns, trends, and behaviors, highlighting opportunities that drive improved business performance across brands, regions, and channels.
  • Audit existing analytical processes and provide guidance on implementing advanced machine‑learning capabilities according to industry standards.
  • Under minimal supervision, establish and execute plans to build, implement, and maintain predictive models using available tools and programming languages, managing the full project lifecycle.
  • Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine‑learning workflows.
  • Translate analytical findings and statistical models into business impact metrics and actionable recommendations.
  • Drive best practices for applying and deploying Data Science at scale within the organization.
Qualifications
  • Minimum Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field; a graduate degree is strongly preferred.
  • Minimum 3 years of experience as a Data Scientist, Statistician, or in a comparable role.
  • Hands‑on quantitative experience in data mining, predictive modeling, machine learning, and statistical programming with structured and unstructured data.
  • Demonstrated capability in rapid prototyping and developing end‑to‑end solutions using complex algorithms.
  • Broad understanding of core statistical and machine‑learning techniques.
  • High proficiency in SQL and at least one statistical programming language (e.g., R, Python, SAS).
  • Proficiency in data visualization tools; Power BI preferred.
  • Experience with the Microsoft Stack is preferred.
  • Strong communication skills—both written and verbal—with the ability to work across cross‑functional teams, including IT, and manage partner expectations.
Benefits
  • 401(k) plan with generous company match.
  • Comprehensive medical, dental, vision, and life insurance; disability and flexible spending accounts; health savings account.
  • Voluntary benefits including accident, critical illness, and hospital indemnity coverages.
  • Employee Assistance Program (EAP) providing free, confidential 24/7 counseling services.
  • Extensive wellness programs, employee discounts, and generous paid time off.
  • Opportunity to attend and support company-owned outdoor events and initiatives.
EEO Statement

Columbia Sportswear Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities. For additional information, consult EEOC Guidelines and notify your recruiter if you require an accommodation during the application process.

Contact for Accommodations

If you need an accommodation or adjustment to successfully complete the application, please contact AskHR@columbia.com with the subject: "Applicant Assistance Requested."

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About Columbia Sportswear

Sourced by ZipRecruiter

Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that strives to do the right thing.

Industry

Apparel and accessories stores

Company size

5,001 - 10,000 Employees

Headquarters location

Portland, OR, US

Year founded

1938

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