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

Data Analyst

Vancouver, WA · On-site +1

$65K - $95K/yr

Data Analyst Position Overview Impact Scale is seeking a detail-oriented and analytical Analyst to ... Flexible work hours, including remote work options. * Generous benefits package, including ...

New

Open to work in Remote (U.S.) or preferred location Portland, OR (PHK) * 6+ years of experience in project management, data analytics, or technical data operations * Bachelor's degree in Business ...

Open to remote work except in South Dakota, Vermont and West Virginia. The annual base salary for ... You demonstrate strong data analysis skills and the ability to communicate complex data to HR ...

Data Analytics/Business Intelligence Job Schedule: Full time Remote: No POSITION: Data Scientist I or II DIVISION: Metrology and Analysis Systems Division (MAD) COMPANY: Hitachi High-Tech America ...

Senior Financial Analyst

Portland, OR · Remote

$90K - $112K/yr

Senior Financial Analyst 100% Remote - Healthcare or Pharmacy industry experience required About ... data into actionable strategic insights. Key Responsibilities * Financial Modeling & Forecasting:

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Remote Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do remote data analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote data analyst in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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 job categories do people searching Remote Data Analyst jobs in Portland, OR look for? The top searched job categories for Remote Data Analyst jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Data Analyst jobs? Cities near Portland, OR with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Portland, OR as of July 2026, with employment types broken down into 5% Internship, 85% Full Time, 5% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

Data Analyst

Impact Scale LLC

Vancouver, WA • On-site, Remote

$65K - $95K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

New


Job description

Data AnalystPosition Overview

Impact Scale is seeking a detail-oriented and analytical Analyst to support business operations by gathering, interpreting, and analyzing data to drive informed decision-making. The ideal candidate has experience working with data, identifying trends, developing reports, and providing actionable insights that improve business performance and operational efficiency.

In this role, you will collaborate with cross-functional teams to evaluate business processes, monitor key performance indicators (KPIs), identify opportunities for improvement, and support strategic initiatives through data-driven analysis.

Key ResponsibilitiesData Analysis Reporting
  • Collect, analyze, and interpret data from multiple sources to identify trends, patterns, and business opportunities.

  • Develop and maintain reports, dashboards, and performance metrics for leadership and internal stakeholders.

  • Monitor key performance indicators (KPIs) and provide regular reporting on business performance.

  • Present findings and recommendations in a clear, concise, and actionable manner.

Business Analysis
  • Evaluate business processes and identify opportunities to improve efficiency, productivity, and performance.

  • Conduct research and analysis to support strategic planning and operational initiatives.

  • Assist in developing forecasts, business models, and performance analyses.

  • Support decision-making by providing data-driven insights and recommendations.

Process Improvement
  • Identify workflow inefficiencies and recommend process improvements.

  • Collaborate with cross-functional teams to implement and monitor operational enhancements.

  • Document business processes, procedures, and best practices.

Cross-Functional Collaboration
  • Partner with departments across the organization to understand reporting needs and business objectives.

  • Support projects by gathering requirements, tracking progress, and analyzing results.

  • Communicate analytical findings to both technical and non-technical audiences.

Qualifications Skills
  • Bachelor's degree in Business, Finance, Economics, Mathematics, Data Analytics, Statistics, or a related field preferred.

  • 2+ years of experience in an analyst, business analyst, data analyst, or similar analytical role.

  • Strong analytical and critical thinking skills with the ability to solve complex problems.

  • Advanced proficiency in Microsoft Excel and Google Sheets.

  • Experience creating reports, dashboards, and data visualizations.

  • Strong attention to detail and organizational skills.

  • Excellent written and verbal communication skills.

  • Ability to manage multiple priorities in a fast-paced environment.

  • Experience working with business intelligence tools (Power BI, Tableau, Looker Studio, or similar) is a plus.

  • Familiarity with SQL or other data querying tools is a plus.

What Success Looks Like
  • Delivers accurate, timely, and actionable reporting that supports business decisions.

  • Identifies trends and opportunities that improve operational efficiency and business performance.

  • Develops reliable dashboards and reporting tools that provide valuable insights to leadership.

  • Collaborates effectively across departments to solve business challenges.

  • Contributes to a culture of continuous improvement through data-driven decision-making.

Hours, Location Benefits
  • Flexible work hours, including remote work options.

  • Generous benefits package, including comprehensive health insurance, retirement savings, and paid time off.

  • Professional development opportunities and education reimbursement.