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Ai Data Analytics Jobs in Oregon (NOW HIRING)

OR · Hybrid

$105K - $143K/yr

We are seeking a Subject Matter Expert (SME) Sales Engineer with deep, hands-on expertise in Vector AI databases and a proven track record of selling advanced database and data analytics solutions.

Data Protection Consultant

Portland, OR · On-site

$112K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform threat mapping and gap analysis across structured, unstructured, cloud, and on-premises ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning. * The contractor shall ...

Senior AI Engineer

Odell, OR · On-site

$107K - $147K/yr

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 9 AM-5:30 PM Scheduled ... You have the opportunity to work with complex AI/ML/LLM-based solutions in a fast-paced, rapidly ...

Collaborate with Product, Data engineering and AI vertical leaders within the Data & Analytics organization translating business needs to scalable data centric solutions A forward-thinking mindset to ...

... using data and analytics to optimize complex operational processes. They are energized by the ... Strong proficiency with AI tools to increase productivity, surface insights, and accelerate ...

THE ROLE As a SaaS Product Analyst, you will help identify promising markets, companies, products ... AI/data, business operations, corporate development, private markets, or entrepreneurship.

Sr Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... AI tools and initiatives * Excellent communication skills * Skills that would make a candidate stand out: * Experience with/knowledge of finance domain * Experience with data analytics and BI tools ...

Data Product Analyst, Corporate

OR · On-site +1

  • Retirement

  • PTO

YipitData is the leading market research and analytics firm for the disruptive economy and most ... AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data ...

Data Product Analyst, Corporate

OR · On-site +1

  • Retirement

  • PTO

YipitData is the leading market research and analytics firm for the disruptive economy and most ... AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data ...

Showing results 41-60

Ai Data Analytics information

See Oregon salary details

$25

$57

$99

How much do ai data analytics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai data analytics in Oregon is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $65.58 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What job categories do people searching Ai Data Analytics jobs in Oregon look for?

The top searched job categories for Ai Data Analytics jobs in Oregon are:

What cities in Oregon are hiring for Ai Data Analytics jobs?

Cities in Oregon with the most Ai Data Analytics job openings:

Infographic showing various Ai Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,397 per year, or $57.9 per hour.

AI Solution Analyst (US Citizenship Required)

Teledyne

Wilsonville, OR • On-site

Full-time

Re-posted 10 days ago


Teledyne Technologies rating

8.3

Company rating: 8.3 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

42nd of 159 rated electronics manufacturers


Job description

Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

** US Citizenship is required for this position. We are unable to hire Green Card Holders, individuals who need a work visa, are currently on a work visa, or individuals who will require work visa sponsorship in the future. **
The AI Solution Analyst plays a critical role in evaluating, testing, and validating AIrelated software tools, copilots, agents, and automation platforms for enterprise use across Teledyne. This position supports AI governance, risk assessment, technical feasibility analysis, and pilot execution to ensure AI solutions align with corporate security, compliance, and architectural standards.


As part of Teledyne's AI Transformation efforts, you will join a team of AI Adoption Leads, each specializing in a specific area of AI. Together, you will act as internal consultants, helping business units understand AI's potential and implement solutions that deliver real impact. This is a role for someone who combines deep technical knowledge with strong interpersonal and selling skills-you'll need to build trust, inspire change, and make AI happen in the business, not just track metrics.
Essential Duties & Responsibilities:

AI Tool Evaluation & Testing

  • Conduct handson technical evaluations of AI software tools, copilots, AI agents, RAG systems, and emerging AI platforms.

  • Assess capabilities, limitations, performance, model behavior, integration feasibility, and operational requirements.

  • Develop structured test plans, evaluation frameworks, and comparison matrices for consistent assessment.

  • Document findings, risks, limitations, and recommendations for technical and executive audiences.


Architecture & Integration Support

  • Analyze how candidate tools integrate with existing enterprise environments (Microsoft 365, Azure, SharePoint, onprem systems).

  • Review API functionality, identity and access requirements, logging, data flows, and security architecture.

  • Collaborate with enterprise architecture and infrastructure teams to determine technical feasibility.


Governance, Risk, and Compliance

  • Support AI governance processes, including privacy, datahandling assessments, and policy compliance.

  • Assist with documentation for compliance reviews, risk registers, and AI policy adherence.


Pilot Coordination & Vendor Interaction

  • Coordinate proofofconcept (POC) activities with vendors and internal stakeholders.

  • Create POC documentation including scope, success criteria, user testing results, and ROI analysis.

  • Provide ongoing updates to IT leadership, the AI Champions, and business units.


CrossFunctional Collaboration

  • Work with the AI Governance Committee, Cybersecurity, IT, and business units to gather requirements and evaluate use cases.

  • Serve as a technical resource during intake, review, and approval processes for AI tool requests.

  • Support training materials, knowledge sharing, and documentation to help scale internal AI adoption safely.


Qualifications & Experience:

Technical Experience

  • 3 years of experience in IT systems, software evaluation, enterprise applications, or technical analyst roles

  • Experience conducting technical evaluations of software tools or platforms

  • Solid understanding of enterprise technology fundamentals for example:

    • Microsoft 365 and Azure ecosystem

    • Microsoft Copilot, Copilot Studio, Azure AI/ML services, or similar platforms.

    • Identity & Access Management (Azure AD/Entra)

    • API integrations and data flows

    • Cloud/SaaS security concepts


AI & Data Literacy

  • Working understanding of large language models (LLMs), embeddings, RAG pipelines, and AI agent concepts (training not required, but literacy is expected)

  • Familiarity with key AI risk themes: hallucinations, bias, safety guardrails, data leakage, and model evaluation


Soft Skills

  • Strong analytical mindset and problemsolving capability

  • Excellent written documentation skills for both technical and executive audiences

  • Ability to manage multiple evaluations, pilots, and stakeholder groups simultaneously

  • Comfortable presenting findings and recommendations to leadership


Preferred Qualifications & Experience:

  • Experience with Python or PowerShell for limited proofofconcept test scripting

  • Background in regulated industries, security reviews, or governance frameworks

  • Project coordination or POC management experience

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.


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