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Data Analyst Ai Jobs in Remote, OR (NOW HIRING)

Purpose of Role Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our ... Hands-on experience with AI tools such as Claude / Claude Code, Codex, Microsoft Copilot, and ...

Data Scientist

OR · 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 ...

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 ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions. Your Impact Data Engineering & Architecture: * Lead data ...

Technical Data Steward

OR · Remote

$60 - $70/hr

Basic Description Provide technical data stewardship support to the HR Data Analytics team in ... AI ready metadata o Data quality o Data lifecycle management o Policies and standards compliance

Senior Data Scientist

OR · Remote

$84K - $112K/yr

Build and enhance Databricks-based AI and analytics solutions that improve how Finance teams access and use insights. * Develop scalable data pipelines, workflows, and reporting solutions using ...

Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required. * Personnel must be able to translate operational challenges into analytic ...

Data Engineer

OR · On-site

$35 - $40/hr

Develop and maintain high-quality data models for reporting, analytics, and AI. * Ingest, transform, validate, and publish data from multiple enterprise source systems. * Collaborate with product ...

Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required. * Personnel must be able to translate operational challenges into analytic ...

Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required. * Personnel must be able to translate operational challenges into analytic ...

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Deep expertise in machine learning, statistics, experimentation, predictive analytics, and modern ...

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

... analyzing legal documents and medical records to expedite fact-finding. Our secure solution can ... AI tasks and data flows run efficiently, and provide robust technical support for our full-stack ...

AI Architect

OR · Remote

... amounts of unlabeled text data, to further enhance the model's capabilities. Job Details ... Analyze and evaluate the performance of Gen AI systems and provide design recommendations.

Strong analytical, communication, and problem-solving skills. Preferred Qualifications ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

AI Engineer

OR · On-site +1

Strong analytical, communication, and problem-solving skills. Preferred Qualifications ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

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Showing results 1-20

Data Analyst Ai information

See Remote, OR salary details

$34K

$82.6K

$135.9K

How much do data analyst ai jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data analyst ai in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

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

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

What does a data analyst do in AI?

A data analyst in AI collects, cleans, and analyzes large datasets to identify patterns and insights that improve machine learning models and AI systems. They often use tools like Python, R, or SQL and work closely with data scientists to support model development and validation.

Do data analysts work with AI?

Data analysts often work with AI by analyzing data used to train machine learning models, developing insights, and creating reports that support AI projects. They may also use tools like Python, R, or SQL to process large datasets and collaborate with data scientists and AI engineers. Understanding AI concepts can enhance their ability to interpret and leverage AI-driven insights.
What are the most commonly searched types of Data Analyst Ai jobs in Remote, OR? The most popular types of Data Analyst Ai jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data Analyst Ai jobs? Cities near Remote, OR with the most Data Analyst Ai job openings:
Infographic showing various Data Analyst Ai job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,559 per year, or $39.7 per hour.

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Re-posted 27 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

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Job description

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. 

Purpose of Role

Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our Enterprise Data Management (EDM) organization. This role bridges business strategy and technical analytics execution, supporting executive reporting and partnering with senior leaders to deliver the metrics and insights used to run a large-scale, global business. You will lead the discovery, design, and delivery of scalable reporting solutions and data products across multiple business domains, enabling leadership and business units alike to make better, more informed decisions. 

Operating as a senior individual contributor, you will lead cross-functional analytics initiatives end-to-end, coach analysts, and raise the bar for analytical best practices across the team - aligning every deliverable with Under Armour's enterprise-wide data strategy.

Your Impact
  • Lead cross-functional requirements discovery and end-to-end analytics delivery, translating business strategy and KPIs into scalable reporting solutions. 
  • Serve as a shared analytics resource across multiple business domains (Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, and more), aligning business requirements with data and analytical solutions. 
  • Manage the intake and prioritization of analytics requests, balancing competing demands and setting clear expectations on scope, deadlines, and deliverables. 
  • Build and maintain dashboards, reports, and reusable data products using Under Armour's standard BI tools, with an emphasis on clarity, reusability, and self-service insight. 
  • Drive innovation in how UA reports on the business - modernizing, simplifying, and scaling reporting solutions, including the use of AI to accelerate insight delivery. 
  • Coach and mentor analysts, drive analytical best practices, and own documentation and knowledge transfer across the EDM Center of Excellence. 
  • Work closely with project teams, enterprise developers, systems analysts, data scientists, and architects to deliver solutions aligned with the enterprise-wide data strategy. 
  • Monitor changes in the business and proactively recommend where analytics can further improve performance, synthesizing and presenting findings and project status to stakeholders and leadership. 
Qualifications
  • Bachelor's degree with typically 8 years of relevant experience or Master's degree with typically 6 years of relevant experience or typically 12 years of relevant work experience without degree.  
  • 8 years of experience in business intelligence, data analytics, or data strategy roles, with a track record of delivering reporting solutions that drive business decisions.  
  • Hands-on experience with AI tools such as Claude / Claude Code, Codex, Microsoft Copilot, and Snowflake Cortex Code (CoCo). 
  • Experience engaging across business areas: Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, Accounting, Product, HR, and Emerging Markets.  
  • Demonstrated ability to lead cross-functional analytics initiatives and manage intake and prioritization with limited oversight.  
  • Proficiency in BI and reporting tools such as Tableau and Power BI, along with SQL; experience with Snowflake, DBT, and the modern data stack is a plus. 
  • Experience creating functional and technical specification documents. 
  • Proven ability to express complex operational and technical concepts in business terms, with excellent verbal and written communication skills. 
  • Highly organized self-starter with strong analytical, planning, and problem-solving skills; comfortable managing multiple priorities in a fast-paced, dynamic environment. 
  • Experience coaching or mentoring analysts and championing analytical best practices. 
  • ERP experience is a plus. 
Workplace Location
  • Location: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required
  • Travel: Possible travel to regional offices, conferences, and trainings
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.
Relocation
  • No relocation provided
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Base Compensation

$100,000.00-$135,000.00 USD

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being
Our Commitment to Equal Opportunity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.


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