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Virtual Data Analyst Jobs in Portland, OR (NOW HIRING)

Lam Research Corporation

Industrial Engineer 3

Tualatin, OR · On-site

$72K - $98K/yr

Analyze manufacturing data to identify trends, constraints, and opportunities for improvement ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

Graybar

Supply Chain and Inventory Director

Portland, OR

$193K - $218K/yr

Use Excel and Power BI to analyze data, support forecasting, identify trends, and provide ... Ability to speak, hear, and communicate effectively in person, by phone, and in virtual meetings.

Lam Research Corporation

Quality Engineer 2

Tualatin, OR · On-site

$75K - $96K/yr

By analyzing production data and reports, you identify trends and work across functions to resolve ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

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All JobsData Analyst JobsVirtual Data Analyst JobsVirtual Data Analyst Jobs in Portland, OR

Virtual Data Analyst information

See Portland, OR salary details

$36K

$87.5K

$144K

How much do virtual data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for virtual data analyst in Portland, OR is $87,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $102,700.00 per year, depending on experience, location, and employer.

What is a virtual data analyst?

A Virtual Data Analyst is a professional who analyzes data remotely to help businesses make informed decisions. They collect, clean, and interpret datasets using tools like Excel, SQL, Python, or BI software. Their role includes identifying trends, creating reports, and providing actionable insights. This position is ideal for those comfortable working independently and collaborating online with teams.

What does a virtual data analyst do?

A typical workday for a Virtual Data Analyst involves collecting, cleaning, and analyzing large data sets, generating reports or visualizations, and presenting findings to stakeholders, all while collaborating remotely with team members and managers via digital tools. You might spend your mornings running data queries or troubleshooting datasets, while afternoons are often dedicated to meetings—either updating project teams or discussing insights with clients and decision-makers. Many virtual data analysts use task management software to track ongoing projects and prioritize deliverables in a remote setting. Expect to regularly engage in both independent work and virtual collaboration, making strong communication and self-management skills especially valuable. This role offers flexibility in your daily schedule, but typically involves deadlines and periodic teamwork to ensure business goals are met.

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

To thrive as a Virtual Data Analyst, you need a solid grounding in data analysis, statistical methods, and critical thinking, typically backed by a degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with analytical tools like Excel, SQL, Python, or R, along with experience using data visualization platforms such as Tableau or Power BI, is highly valuable, and certifications in analytics or data science can enhance your qualifications. Excellent communication, time management, and problem-solving skills help you interpret findings for stakeholders and work effectively in a remote, collaborative environment. These abilities are essential for accurately analyzing data, conveying actionable insights, and delivering reliable results while working virtually.

What are the most commonly searched types of Data Analyst jobs in Portland, OR?

The most popular types of Data Analyst jobs in Portland, OR are:

What are popular job titles related to Virtual Data Analyst jobs in Portland, OR?

For Virtual Data Analyst jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Virtual Data Analyst jobs in Portland, OR look for?

The top searched job categories for Virtual Data Analyst jobs in Portland, OR are:

What cities near Portland, OR are hiring for Virtual Data Analyst jobs?

Cities near Portland, OR with the most Virtual Data Analyst job openings:

Virtual Data Analyst jobs near you
Infographic showing various Virtual Data Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

Industrial Engineer 3

Lam Research Corporation

Tualatin, OR • On-site

$72K - $98K/yr

Full-time

Re-posted 29 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

131st of 494 rated machine equipment manufacturers

Job description

The group you'll be a part of
The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.
The impact you'll make
The Industrial Engineer 3 will work to improve factory performance through data-driven analysis, decision support, and continuous improvement initiatives. Your work will influence manufacturing capacity, labor productivity, factory layout strategy, operational visibility, and key business decisions.
What you'll do
  • Analyze manufacturing data to identify trends, constraints, and opportunities for improvement.
  • Create dashboards, visualizations, and reporting solutions that support operational decision-making.
  • Develop and support Power BI dashboards, workspaces, and reporting solutions.
  • Develop and maintain capacity models, labor analyses, forecasts, and reporting tools.
  • Develop and maintain factory layout solutions that support manufacturing flow, capacity, space utilization, densification efforts, and operational efficiency.
  • Aggregate, cleanse, and validate data from manufacturing systems and databases.
  • Support labor standards development, productivity improvement, and capacity planning activities.
  • Support new product introductions, product transitions, and manufacturing optimization initiatives.
  • Partner with local and global stakeholders to drive continuous improvement and standardization efforts.
  • Communicate analytical findings and recommendations to stakeholders across the organization.

Who we're looking for
We are looking for a collaborative problem solver who enjoys working with data, understands manufacturing operations, and is passionate about continuous improvement. The ideal candidate can translate complex data into actionable insights and thrives in a fast-paced manufacturing environment.
  • Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations, Supply Chain with 5 year's related experience; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
  • Strong analytical and problem-solving skills.
  • Experience working with manufacturing data and operational metrics.
  • Experience with Power BI, SQL, and Microsoft Excel.
  • Strong written and verbal communication skills.
  • Experience with Python or analytics automation toolls; experience with Microsoft Fabric or modern data analytics platforms.
  • Experience administering and supporting Power BI workspaces and reporting environments.
  • Experience with capacity planning, labor analysis, forecasting, and resource modeling.
  • Experience with factory layout planning, space utilization, densification efforts, and AutoCAD.
  • Experience in semiconductor or other high-tech manufacturing environments.
  • Knowledge of Lean Manufacturing and continuous improvement methodologies.
  • Experience supporting cross-functional or global teams.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
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Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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