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Virtual Data Analyst Jobs in Oregon (NOW HIRING)

Qualifications Bachelor's degree in Data Analytics, Computer Science, Statistics, Finance ... virtual interviews followed by a final onsite interview.

Role Overview This position is for a lead data analyst with a background in Payroll. The role ... Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.

OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1 ... Founded in Oregon in 2000, OCHIN employs a growing virtual workforce of more than 800 diverse ...

Select statistical tests for collecting and analyzing data. * Collaborate with management and users to develop content and integrate program strategies with websites and virtual tools. * Research and ...

$63K - $84K/yr

Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Engineering ... in a virtual work environment. PHYSICAL DEMANDS: * Physical demands are consistent with a ...

Business Analyst 3

Tualatin, OR · On-site

$45.50 - $62.75/hr

Transform workforce and operational data into actionable insights that support executive decision ... Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier ...

$200K/yr

Partner closely with Analytics, Operations, and business stakeholders to translate business ... virtual interviews followed by a final onsite interview.

Energy Analyst

Portland, OR · On-site

$80 - $100/hr

Minimum 5 years of experience in data analysis and data visualization in Python; you wake up ... demand response, virtual power plants (VPPs), and utilities are all major pluses Location ...

OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1 ... Founded in Oregon in 2000, OCHIN employs a growing virtual workforce of more than 1,000 diverse ...

Data Engineering Manager

OR · On-site +1

$172K - $254K/yr

Collaborate with product managers, data analysts, and machine learning engineers to develop ... virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical ...

Virtual interview / One round Contract Duration: 12 Months Note: We are not able to consider C2C or ... The ideal candidate will partner with lawyers and legal staff, utilizing data and systems knowledge ...

$160K/yr

Support enterprise analytics initiatives by translating business requirements into scalable data ... virtual interviews followed by a final onsite interview.

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Showing results 1-20

Virtual Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do virtual data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for virtual data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 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 Oregon?

The most popular types of Data Analyst jobs in Oregon are:

What are popular job titles related to Virtual Data Analyst jobs in Oregon?

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

What job categories do people searching Virtual Data Analyst jobs in Oregon look for?

The top searched job categories for Virtual Data Analyst jobs in Oregon are:

What cities in Oregon are hiring for Virtual Data Analyst jobs?

Cities in Oregon with the most Virtual Data Analyst job openings:

Infographic showing various Virtual Data Analyst job openings in Oregon as of June 2026, with employment types broken down into 80% Full Time, 15% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Full-time

Posted 12 days ago


Job description

Job Description Our client, a rapidly growing wealth management and financial services firm, is seeking a Senior Data Analyst to develop and deliver data analytics and reporting solutions that support strategic business decisions across the organization. This role will partner closely with business stakeholders to transform complex data into meaningful insights, build scalable reporting solutions, and ensure the accuracy and integrity of enterprise data. The ideal candidate combines strong technical expertise with exceptional analytical and communication skills.

Key Responsibilities Design, develop, and maintain dashboards, reports, and analytical solutions that support business performance and decision-making. Build scalable data models and reporting products that deliver actionable insights for key stakeholders. Implement data validation and quality assurance processes to ensure the accuracy, consistency, and reliability of reporting.

Perform ad hoc analysis to answer business questions and identify trends, opportunities, and operational improvements. Translate business requirements into clear data specifications and reporting solutions. Document data sources, business logic, transformations, and reporting methodologies to support long-term scalability and governance.

Serve as a subject matter expert for enterprise analytics and reporting while partnering with cross-functional teams on data initiatives. Qualifications Bachelor's degree in Data Analytics, Computer Science, Statistics, Finance, Mathematics, or a related quantitative field. 2-3+ years of experience in data analytics, business intelligence, or data science.

Experience within financial services, consulting, or high-growth technology organizations is preferred. Strong analytical, problem-solving, and critical thinking abilities. Excellent written and verbal communication skills.

Ability to manage multiple priorities while working independently and collaboratively in a fast-paced environment. Technical Skills Advanced SQL proficiency. Experience with DBT and Tableau.

Strong understanding of data modeling and data quality frameworks. Advanced Microsoft Excel skills, including financial and analytical modeling, preferred. Strong documentation and data governance practices.

Compensation & Schedule Full-time Hybrid schedule (4 days onsite) Location: Austin, TX or Miami, FL Competitive compensation commensurate with experience Interview process includes two virtual interviews followed by a final onsite interview.