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

Entry 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 support business operations by gathering, interpreting, and analyzing data to drive informed

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Location: (HTA) NCP (Hillsboro, OR) Job ID: R0128931 Date Posted: 2026-05-01 Company Name: HITACHI HIGH-TECH AMERICA, INC. Profession (Job Category): Data Analytics/Business Intelligence Job

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Showing results 1-20

Retail Data Analyst Remote information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do retail data analyst remote jobs pay per year?

As of Jul 27, 2026, the average yearly pay for retail data analyst remote 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.

What is a Retail Data Analyst (Remote)?

A Retail Data Analyst (Remote) is a professional who works from a remote location to collect, analyze, and interpret data related to retail sales, customer behavior, inventory, and market trends. They use statistical tools and software to identify patterns, provide actionable insights, and support decision-making for retail businesses. Their work helps companies optimize pricing, improve inventory management, and enhance customer experiences without being physically present in a traditional office or store. Remote analysts frequently collaborate with teams via digital platforms and must be comfortable working independently while managing deadlines.

What is the difference between Retail Data Analyst Remote vs Retail Business Analyst?

AspectRetail Data Analyst RemoteRetail Business Analyst
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, data visualization toolsBachelor's in Business, Economics, or related; strong analytical skills, familiarity with retail operations
Work EnvironmentRemote, independent data analysis, reporting, and visualizationOn-site or hybrid, analyzing business processes and strategies
Employer & Industry UsageRetail companies, e-commerce firms, and consulting agenciesRetail chains, merchandising firms, and supply chain companies

The main difference is that Retail Data Analyst Remote focuses on analyzing retail data remotely using technical skills, while Retail Business Analyst emphasizes understanding retail business processes and strategies, often with a broader scope. Both roles require analytical skills but differ in their focus and work environment.

How does a remote Retail Data Analyst typically collaborate with other departments to drive business decisions?

As a remote Retail Data Analyst, you’ll frequently collaborate with teams such as marketing, merchandising, operations, and IT. Communication is often handled through virtual meetings, shared dashboards, and collaborative platforms to ensure everyone has access to up-to-date insights. You’ll translate data findings into actionable recommendations, help set KPIs, and present your analyses to both technical and non-technical stakeholders. Building strong virtual relationships and clear communication are key to influencing decisions and driving improvements across the retail business.

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

To thrive as a Retail Data Analyst (Remote), you need strong analytical skills, proficiency in statistics, and a degree in data science, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and advanced Excel, along with experience in retail analytics platforms, is typically required. Attention to detail, problem-solving abilities, and effective remote communication make someone stand out in this position. These skills enable analysts to extract actionable insights from complex retail data, driving strategic decisions and business growth from a remote setting.
What are the most commonly searched types of Retail Data Analyst jobs in Portland, OR? The most popular types of Retail Data Analyst jobs in Portland, OR are:
What job categories do people searching Retail Data Analyst Remote jobs in Portland, OR look for? The top searched job categories for Retail Data Analyst Remote jobs in Portland, OR are:
Infographic showing various Retail Data Analyst Remote job openings in Portland, OR as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 4% In-person, and 96% Remote job distribution, with an average salary of $87,640 per year, or $42.1 per hour.

Entry Data Analyst

Impact Scale LLC

Vancouver, WA • On-site, Remote

$65K - $95K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago


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.