3

Full Time Remote Data Analyst Jobs in Portland, OR

Sr Actuarial Analyst Value Based Care

Vancouver, WA ยท Remote

$48.52 - $72.78/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Remote (must reside in OR, WA or AK) Sr Actuarial Analyst Value Based Care for a Full Time, 1.00 ... Performs data mining and analysis that impacts benefit design, care delivery, and population health ...

Senior Conflicts Analyst

Portland, OR ยท On-site +1

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... data projects and suggest system improvements to enhance workflow and efficiency. * Serve as a ... Hybrid and remote-friendly arrangements available. * Professional Environment: Collaborative ...

Conflicts Attorney (Remote)

Portland, OR ยท Remote

$160K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This is a fully remote position, offering an opportunity to contribute to a top-tier legal team ... You'll be responsible for analyzing new business intake, reviewing client and matter data, and ...

Showing results 21-40

Full Time Remote Data Analyst information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

How much do full time remote data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for full time 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.

What is a full time remote data analyst?

A Full Time Remote Data Analyst is a professional who works from a location outside the traditional office environment, usually from home, and is employed on a full-time basis. Their main responsibility is to collect, process, and analyze large sets of data to help organizations make informed decisions. They use statistical tools and software to interpret data trends, create reports, and present findings to stakeholders. Remote data analysts collaborate with teams via digital communication tools and may work with data from various industries, such as finance, healthcare, or technology. This role requires strong analytical skills, attention to detail, and proficiency with data analysis software.

What are the key skills and qualifications needed to thrive as a full time remote data analyst?

To thrive as a Full Time Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Experience with data visualization tools (e.g., Tableau, Power BI), programming languages (e.g., Python, R), and advanced Excel functions is typically required. Excellent communication, self-motivation, and time management are standout soft skills for remote collaboration and clear reporting. These abilities are crucial for delivering actionable insights, maintaining productivity, and ensuring data-driven decision-making in a remote work environment.

What are some common challenges faced by full time remote data analysts, and how can they be addressed?

One common challenge for full-time remote data analysts is maintaining clear communication and collaboration with team members who may be in different locations or time zones. To overcome this, it's important to proactively schedule regular check-ins, leverage collaborative tools (like Slack, Teams, or project management platforms), and document your work thoroughly for transparency. Additionally, remote analysts often need to manage their own time effectively and set boundaries to prevent burnout. Staying organized and maintaining a healthy work-life balance are essential for long-term success in this role.

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

AspectFull Time Remote Data AnalystFull Time Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or higher in Data Science, Computer Science, or related; often includes certifications in Python, R, or machine learning
Work EnvironmentRemote, collaborative with teams, using data analysis toolsRemote, often involves complex modeling, coding, and advanced analytics
Industry UsageBusiness, finance, marketing, healthcareTech, finance, research, AI development

Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Data Scientists develop predictive models and advanced algorithms. Both roles are remote and require analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

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

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

Search Fund Sourcing Analyst

Initio Capital

Portland, OR โ€ข Remote

Full-time

Posted 8 days ago


Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a Search Fund Sourcing Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, business models, and investment themes.
  • Build target lists, market maps, competitive scans, and opportunity pipelines.
  • Analyze data, documents, websites, interviews, and public information to form concise recommendations.
  • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.