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

Impact Scale LLC

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

Binance.US

Senior Data Scientist, RIsk

Vancouver, WA · Remote

About Binance.US: Binance.US is a licensed and regulated U.S. cryptocurrency exchange where users can buy, trade, hold, and earn digital assets. Recognized as a top U.S. crypto platform by Forbes

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

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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All JobsData Analyst Side JobsRemote Data Analyst Side JobsRemote Data Analyst Side Jobs in Portland, OR

Remote Data Analyst Side information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

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

As of Jul 28, 2026, the average yearly pay for remote data analyst side 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 are some common challenges faced by remote data analysts, and how can they be effectively addressed?

Remote data analysts often face challenges such as limited access to immediate team collaboration, potential data security concerns, and managing time across different time zones. To overcome these, it's important to leverage communication tools like Slack or Microsoft Teams for regular check-ins, use secure VPNs and follow company data protocols, and establish clear work schedules with your team. Proactively seeking feedback and maintaining organized documentation can also help ensure smooth workflow and effective collaboration.

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

AspectRemote Data Analyst SideRemote Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in Excel, SQL, Python/RBachelor's or higher in Data Science, Statistics, or related; similar technical skills
Work EnvironmentPart-time, freelance, or side projects; flexible hoursFull-time or part-time; employed by companies or clients
Employer & Industry UsageFreelance platforms, startups, consulting firmsCorporations, consulting agencies, research firms

The main difference is that a Remote Data Analyst Side typically works on freelance or part-time projects, offering flexibility, while a Remote Data Analyst is usually employed full-time or part-time by organizations. Both roles require similar skills and credentials, but their work settings and commitments differ.

What is a remote data analyst side job?

A remote data analyst side job involves working part-time or as a freelancer to analyze data for organizations, all while working from a location outside the traditional office. Responsibilities typically include collecting, cleaning, and interpreting data to help businesses make informed decisions. This role allows professionals to leverage their analytical skills in a flexible setting, often outside of their primary job or commitments. Remote data analyst side jobs are ideal for those seeking additional income or experience without the constraints of a full-time, in-office position. Common industries hiring for these roles include marketing, finance, healthcare, and technology.

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 background in a quantitative field such as mathematics or computer science. Familiarity with data analysis tools and programming languages such as SQL, Python, R, and platforms like Tableau or Power BI is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills set top remote analysts apart. These skills are essential for extracting actionable insights from data and effectively collaborating with distributed teams to support business decisions.
What are the most commonly searched types of Data Analyst Side jobs in Portland, OR? The most popular types of Data Analyst Side jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Data Analyst Side jobs? Cities near Portland, OR with the most Remote Data Analyst Side job openings:
Remote Data Analyst Side jobs near you

Entry Data Analyst

Impact Scale LLC

Vancouver, WA • On-site, Remote

$65K - $95K/yr

Full-time

Medical, Retirement, PTO

Posted 10 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.