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Ai Data Analytics Jobs in Oregon (NOW HIRING)

Data Analyst

OR ยท On-site +1

  • Retirement

  • PTO

... analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like Consumer Goods, AI & Software ...

Data Analyst

OR ยท On-site +1

  • Retirement

  • PTO

... analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like Consumer Goods, AI & Software ...

Senior Data Architect

Odell, OR ยท On-site

$69 - $92.25/hr

The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. This role ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion ...

If you have deep roots in AI, data, or analytics-driven transformation, this is the role for you. Core Responsibilities Go-to-Market & Sales Leadership * Lead pre-sales engagements, including ...

Group Product Manager, AI and Data

OR ยท On-site +1

$171K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Define and prioritize the roadmap for data platforms, analytics, AI/ML capabilities, and integrations supporting Legal ERP and financial workflows. * Translate complex infrastructure and data ...

Data Scientist

OR ยท On-site +1

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 ...

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 ...

Data & AI Technology Sales Director

Beaverton, OR ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 8 years of experience in selling data solutions, analytical data warehouses, cloud data migration solutions, analytics/reporting solutions to harness the power of AI and GenAI for our ...

Data & AI Technology Sales Director

Beaverton, OR ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 8 years of experience in selling data solutions, analytical data warehouses, cloud data migration solutions, analytics/reporting solutions to harness the power of AI and GenAI for our ...

Vector Database Senior Sales Engineer

OR ยท On-site +1

$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.

Identify opportunities to leverage automation, AI, and emerging technologies to improve data ... Data Analyst, BI Developer, Data Engineer, Solutions Architect, or Systems Administrator with ...

Data Scientist

OR ยท On-site +1

We have a mature data engineering team, so you can focus on doing what you do best - building and ... AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes ...

Showing results 21-40

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.

Data Analyst

YipitData

OR โ€ข On-site, Remote

Full-time

Retirement, PTO

Re-posted 2 days ago


Job description

About Us

YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like Consumer Goods, AI & Software, Cloud, Payments, and more. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions.

We oerate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work Here

  • Ownership is real, not aspirational. An analyst here can own a data product end-to-end - from methodology to client delivery - and present directly to the investors who depend on it. You won't spend months waiting for "meaningful work."
  • Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here.
  • AI is a core working tool, not a side project. We're actively rebuilding how analytical work gets done - using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited about that, you'll thrive here.

About the Role

You'll join one of our sector teams - covering industries like consumer goods, software, or financial services - where you'll own data products that help the world's top investors understand company performance, market trends, and competitive dynamics. Our sector teams are where the core analytical work happens: building and maintaining the data products that our clients depend on for high-stakes decisions.

As a Data Analyst, you'll ramp quickly onto a portfolio of data products, building deep expertise in our proprietary datasets and methodologies. You'll take full ownership of your products - ensuring accuracy, improving methodologies, and delivering insights that clients trust. Over time, you'll expand your scope: taking on more complex products, identifying opportunities to improve how your team works, and growing into a key contributor who shapes how we deliver value.

This is a role for someone who wants to go deep on hard analytical problems, takes pride in getting the details right, and is motivated by owning work that matters. You'll work closely with your Data Lead, Research Analysts, and cross-functional partners in Engineering and Product to deliver best-in-class outputs - and you'll be expected to bring ideas, not just execute on others'.

As a Data Analyst, you will:

  • Own data products end-to-end - driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency. You'll ramp into full ownership of your products and workflows with increasing autonomy as you build expertise.
  • Work with massive amounts of data to answer our clients' key questions about the companies and datasets we analyze. You'll develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
  • Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking - even when information is incomplete or ambiguous.
  • Use AI and tooling to drive meaningful leverage - increasing speed, reducing manual work, and automating portions of workflows. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs.
  • Collaborate cross-functionally with Research, Engineering, and other teams - coordinating across functions to unblock work, align on best practices, and develop solutions that streamline workflows and optimize data processes.
  • Identify opportunities to improve products and processes - whether that's refining a methodology, exploring a new dataset, or finding a better way to do something. Contribute ideas that improve how your team operates and how we deliver value to clients.

You Are Likely To Succeed If:

  • You have 3-5+ years of experience in data analytics, with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment where you worked with complex data to inform real decisions
  • You have strong fluency in SQL, with experience using Python or PySpark as a plus - particularly for building reusable analysis workflows or automations
  • You have a track record of quickly learning new concepts, particularly complex data methodologies, and building strong mental models of how and why data works
  • You have tackled complex analytical problems and taken ownership beyond your immediate scope - you don't wait to be told what matters, you figure it out and drive it forward
  • You can communicate complex concepts clearly - including methodology, risks, and tradeoffs - both in writing and in conversation with technical and non-technical stakeholders
  • You actively use AI tools and are excited about using AI to drive leverage - not just productivity, but fundamentally better and faster ways of working

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary:ย 

  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
  • The annual base compensation for this position is anticipated to be $130K-$180K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.ย 

The total compensation package includes a mix of base, bonus, equity, and benefits

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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