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Remote Data Analyst Jobs in Oregon (NOW HIRING)

Data Analyst

OR · Remote

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal ... The role Agile Six is searching for a Data Analyst to join a team partnering with the Centers for ...

New

Sr Data Analyst

OR · Remote

$82K - $154K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Sr. Data Analyst focused on Debit Analytics,you'llplay a ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance ... Remote

Senior Data Analyst

OR · On-site +1

$80/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... Fully remote within the U.S. * Open to US-based remote candidates, with a preference for PST/MST ...

Overview The (Senior) Corporate Data Analyst is responsible for working with stakeholders all areas ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

The Team The Growth Analytics team leverages data and insights to drive profitable business growth ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

The HMDA/CRA Data Analyst is responsible for supporting the organization's compliance with Home ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Remote Department/Specialty: Data Delivery Governance Schedule: Day shift | Full-time Salary Range ... Conduct detailed data flow analysis to map source-to-target relationships, establish data lineage ...

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Showing results 1-20

Remote Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do remote data analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote 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.

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 Oregon? The most popular types of Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Analyst jobs? Cities in Oregon with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 85% Full Time, 5% Part Time, 5% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that's our company's purpose - and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is searching for a Data Analyst to join a team partnering with the Centers for Medicare and Medicaid Services (CMS). The successful candidate will bring their experience in data analysis to improve business insights, solve a variety of problems, and identify areas where additional data gathering and analysis would be helpful. Specific tasks include leveraging quantitative and qualitative data to construct information dashboards, integrating and analyzing data, building and using reports to answer questions, and creating and using tags to identify and group data elements. Our team is collaborative, dynamic, and ever-evolving. We are looking for someone who is a competent analyst no matter the tools or tech stack. Proficiency with ETL work is also required.

As part of the Quality Payment Program Human-Centered Design Performance team, you will drive data-informed decisions by managing digital analytics, user feedback mechanisms, and system performance monitoring. The person in this role will ensure accurate tracking, build actionable dashboards, and thrive within an Agile product development environment.

This role will primarily be composed of ad hoc analysis rather than building straightforward dashboards. We are looking for someone curious, self-sufficient, and comfortable solving complex problems with little to no guidance. If you delight in finding solutions to problems where information and context may be lacking or sparse, this role is for you.

Responsibilities

Web Analytics & Tagging

  • Implement Tracking: Design and deploy robust data layer specifications across digital properties.
  • Tag Management: Manage container setups, triggers, and variables using tag management systems. Organize and manage analytics tagging:
    • Address known gaps in our current tagging process
    • Improve our overall tagging process by implementing custom tags as needed
  • Adobe Analytics: Build custom eVars (Custom Insight Conversion Variables), props, events, and complex segmentation models.
  • Data Quality: Conduct regular audits to detect and fix broken tags or data leakage.

User Feedback & Experience Analytics

  • Qualtrics VoC: Design, deploy, and maintain Voice of Customer (VoC) feedback intercepts.
  • Survey Integration: Connect survey response data with behavioral analytics behavioral datasets.
  • Insight Generation: Analyze open-text feedback using text analytics to uncover user pain points.
  • Service Design Support: Provide research and analytics insights that help QPP HCD team identify user needs, pain points, and improvement opportunities.

System Performance Monitoring

  • Datadog Observability: Configure dashboards to monitor application performance metrics and error rates.
  • Correlate Data: Link technical performance drops (e.g., slow load times) to user conversion impacts.
  • Alerting: Set up real-time anomaly detection alerts to proactively identify tracking failures.
  • Perform regular site analysis, including data analysis on page views or data downloads.

LLM-based Product Performance Monitoring

  • User Data Analysis: Perform continuous tagging and analysis of user data to determine product performance against key established metrics and trends in user behavior.
  • Process Automation: Develop scripts and test other automation approaches to make the performance data analysis process more efficient and scalable.
  • Trend and Insight Reporting: Synthesize and communicate user behavioral trends and metric performance to the product team and stakeholders to inform product direction and decision-making.

Reporting

  • Create complex dashboards and analysis from scratch based on ad hoc user requests and needs
    • This responsibility includes integrating multiple qualitative data sources such as: ServiceNow helpdesk tickets, survey results from Qualtrics, Datadog heatmaps, and email distribution sign ups.
  • Extract, transform, and load data from various sources for reporting and/or dashboarding purposes.
  • Identify opportunities to leverage data to solve programmatic needs and problems for the team.
  • KPI Development: Help team define meaningful KPIs and indicators to measure product and service performance.
  • Mixed-Methods Analysis: Combine surveys, interviews, help desk tickets, and web analytics to answer questions and identify actionable insights.

Technical Skills

  • Adobe Analytics: Advanced workspace creation, report suite configuration, and tool administration.
  • Tagging: Deep expertise in Tag Management Systems (e.g., Adobe Launch/Tags, Google Tag Manager).
  • Qualtrics: Experience with Site Intercepts, target logic, and reporting dashboards.
  • Datadog: Proficient in building APM dashboards, log management, and synthetics.
  • Languages: Solid understanding of JavaScript, HTML, and CSS selectors for tagging validation and JavaScript and SQL for data analysis and automation.
  • Data Science: Strong understanding of statistical methods and approaches to sample, analyze, and interpret large datasets with a mixture of structured and unstructured data.

We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the team's needs and strengths, the unique strengths and interests of the selected candidate, and an evolving understanding of the delivery environment.

Basic qualifications
  • A Masters Degree is required for this position
  • A minimum of 5 years of relevant analytics experience (dashboarding, reporting, and data analysis) is required for this position
  • Ability to weigh the pros and cons of a particular set of analytics tools and confidently select the best solution for the problem
  • Solution-oriented mindset and proactive approach to solving complex problems
  • Experience working with large quantities of data and answering complex analytics questions using at least one of the following tools: R, Python, SQL, and/or Excel
  • Demonstrated extract, transform, load (ETL) experience
  • Experience working with both semi-structured and unstructured data and with data manipulation and cleaning
  • Hands-on experience with analytics tagging and website analysis
  • Hands-on experience with Adobe Analytics or a similar web analytics/business intelligence analytics platform
  • Ability to apply strong analysis practices across a wide variety of reporting, dashboarding, and analytics platforms
  • Ability to work independently on high complexity tasks
  • Experience working on an Agile team and demonstrating an Agile mindset
  • Have lived and worked in the United States for 3 out of the last 5 years
Additional desired qualifications
  • Experience with statistical analysis and R, Python, SAS, or a similar language
  • Additional holistic experience with data, including data architecture, data modeling, and standardization
  • Experience with SQL (complex joins, window functions, common table expressions)
  • Experience with Excel (especially with pivot tables and vlookups)
  • Familiarity with the US Web Design System
  • Agile Mindset: Experience working in Scrum or Kanban frameworks (Jira/Confluence).
  • Data Storytelling: Ability to translate complex data into simple, actionable business recommendations.
  • Detail-Oriented: Strong focus on QA testing and data governance
  • Experience working with government agencies

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We're eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

As a small and growing government contractor, our open roles are tied to the contracts we support and the funding available. We aim to offer compensation that's competitive and fair, reflecting the scope of the role, your experience, and the market.

The salary for this position is $132,464.

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say "We build better by putting people first".

All Sixers Enjoy:

  • Self-managed work/life balance and flexibility
  • Competitive salary
  • Employee Stock Ownership (ESOP) for all employees!
  • 401K matching
  • Medical, dental, and vision insurance
  • Employer paid short and long term disability insurance
  • Employer paid life insurance
  • Self-managed and generous paid time off
  • Paid federal holidays and two floating holidays
  • Paid parental leave
  • Self-managed professional development spending
  • Self-managed wellness days

Hiring practices

Agile Six is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor protected by applicable federal, state or local laws.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

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