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Internship Mathematical Analyst Jobs in Oregon (NOW HIRING)

Software Dev Engineer, AWS Resilience Hub

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Software Dev Engineer, AWS Resilience Hub

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Process Integration Development Engineer

Hillsboro, OR

$155K - $219K/yr

  • Medical

  • Life

  • Retirement

  • PTO

By leveraging your expertise in process integration, yield analysis, and data-driven problem ... Math) field of study. * 2+ years of Semiconductor Industry experience in one or more of the ...

Showing results 21-40

Internship Mathematical Analyst information

What does an internship mathematical analyst do?

An Internship Mathematical Analyst typically assists with data collection, analysis, and interpretation using mathematical and statistical methods. They support senior analysts in solving real-world problems by applying mathematical models and quantitative techniques. Interns may work on projects involving forecasting, optimization, or risk analysis, helping organizations make informed decisions. This role provides hands-on experience in data analysis, programming, and mathematical modeling, which are valuable skills for a future career in analytics or research.

What types of projects can an internship mathematical analyst expect to work on, and how do they typically contribute to the team?

As an Internship Mathematical Analyst, you can expect to participate in projects involving data analysis, statistical modeling, or optimization problems, often supporting ongoing research or business initiatives. Interns usually collaborate closely with experienced analysts and cross-functional teams to clean data, build mathematical models, and interpret results. A significant part of the role involves presenting findings to both technical and non-technical stakeholders, which helps build valuable communication skills. This exposure provides insight into real-world applications of mathematical concepts and offers opportunities to learn from professionals in the field.

What are the key skills and qualifications needed to thrive as an internship mathematical analyst, and why are they important?

To thrive as an Internship Mathematical Analyst, you need strong quantitative skills, proficiency in mathematical modeling, and a background in mathematics, statistics, or a related field. Familiarity with tools such as MATLAB, R, Python, and Excel is often required, as well as exposure to statistical analysis software. Analytical thinking, attention to detail, and effective communication are vital soft skills that help interns interpret data and present findings clearly. These abilities are crucial for accurately analyzing complex data sets and supporting decision-making processes within organizations.

What is the difference between Internship Mathematical Analyst vs Data Analyst?

AspectInternship Mathematical AnalystData Analyst
Required CredentialsTypically pursuing or recent graduate in mathematics, statistics, or related fieldOften requires degree in statistics, data science, or related field
Work EnvironmentInternship setting, often in finance, tech, or consulting firmsFull-time or part-time roles in various industries including finance, healthcare, marketing
Employer & Industry UsageUsed by companies seeking entry-level analytical talent for project supportCommon in industries requiring data interpretation and reporting

While both roles involve data handling and analysis, an Internship Mathematical Analyst is typically an entry-level internship focused on mathematical modeling and research, whereas a Data Analyst is a more established role emphasizing data interpretation, reporting, and business insights. The internship provides foundational experience, often leading to full-time data roles.

Coordinator, Digital Advertising

Advance Local Media

Portland, OR • Remote

Full-time

Re-posted 15 days ago


Job description

Catalyst IQis adigital marketing and technology leader formed by uniting Advance Automotive's top brands-Adpearance, Fox Dealer, Search Optics, and ZeroSum. We empower automotive dealers and manufacturers to grow with precision and profitability through smarter, faster, and more comprehensive solutions. As a part of Advance Local and built on a foundation of over a decade of proprietary technology development, 23 billion data points, 22 OEM certifications, and a national sales force, Catalyst IQ combinescutting-edgeinnovation with humanexpertiseto deliver real-time insights and actionable intelligence that accelerate sales.

The next generation of business leaders won't just understand technology-they'll know how to use AI, data, and automation to solve real-world problems. At Catalyst IQ, we're looking for recent graduates who want to be on the front lines of that transformation.

Catalyst IQ is hiringaDigital Advertising Coordinator.

Remote-based position

The Digital Advertising Coordinator (AI-Fluent) supports the development, execution, and optimization of digital advertising campaigns while leveraging AI tools and automation to improve efficiency, analysis, and performance.

This is an entry-level role designed for someone early in their career who is excited about digital marketing, technology, and problem-solving. We're looking for a curious, analytical, and adaptable individual who embraces AI as a tool for learning, productivity, and innovation. The ideal candidate is eager to develop expertise in digital advertising while finding creative ways to use AI to streamline work, uncover insights, and drive better results.

Success in this role comes from a willingness to learn, strong attention to detail, analytical thinking, and a passion for continuously improving how work gets done.

Responsibilities

  • Assist in the creation, management, and optimization of digital advertising campaigns across Google, Microsoft, Meta, and other advertising platforms.
  • Monitor campaign performance and support optimization efforts through data analysis and research.
  • Utilize AI tools to assist with reporting, research, content development, campaign management, and process improvement.
  • Identify opportunities to improve efficiency by leveraging AI and automation within daily workflows.
  • Analyze campaign and performance data to identify trends, opportunities, and actionable insights.
  • Support the development of reports, dashboards, and performance summaries for internal teams and clients.
  • Collaborate with team members to execute digital marketing strategies and client initiatives.
  • Contribute to the maintenance and improvement of internal tools, documentation, and operational processes.
  • Stay current on digital advertising trends, platform updates, and emerging AI technologies.
  • Demonstrate a proactive approach to learning new technologies, tools, and best practices.

Qualifications

Knowledge, Skills, Abilities

  • Proficiency in Microsoft Excel, PowerPoint, and Word.
  • Familiarity with AI tools such as ChatGPT, Claude, Gemini, Copilot, or similar platforms.
  • Interest in using AI to improve productivity, automate tasks, analyze information, and solve business problems.
  • Strong analytical and problem-solving skills.
  • Comfortable working with data, numbers, and performance metrics.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and commitment to accuracy.
  • Curiosity and a desire to continuously learn and improve.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Self-starter with a positive attitude and growth mindset.

Education and Experience

  • Bachelor's degree in Marketing, Advertising, Analytics, Economics, Mathematics, Computer Science, Business, Finance, or a related field required.
  • Internship, coursework, project work, or professional experience in digital marketing, advertising, analytics, AI, technology, or a related field preferred.
  • Familiarity with Google Ads, Microsoft Ads, Meta Ads, LinkedIn Ads, or similar advertising platforms is a plus.
  • Familiarity with GA4, reporting platforms, or data visualization tools is a plus.
  • Demonstrated use of AI tools for research, productivity, content creation, analysis, or process improvement is strongly preferred.

Travel:Infrequent (less than 5%)