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Hourly Remote Data Analyst Jobs in Oregon (NOW HIRING)

Artemis Arc

Program Analyst - Senior

$115K - $116K/yr

This senior-level role oversees meeting coordination, data analysis, and reporting across a ... Remote work is anticipated. However, occasional travel for client engagements may be required.

New

First American

Commercial Title Officer

OR · Remote

$30.91 - $41.20/hr

Analyze and resolve missing, incomplete, inaccurate, or conflicting information contained in title ... 20 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

BECU

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Through advanced analytics and storytelling, you'll help transform data into impactful member ...

Care Access

Senior Enterprise Performance Analyst

OR · Remote

$70K - $90K/yr

... in data analytics, enterprise performance, or a similar strategic role. Experience in healthcare or clinical trials is highly preferred How We Work Together * Location : Remote within the United ...

Hitachi

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

Hillsboro, OR · On-site +1

$121K - $167K/yr

Data Analytics/Business Intelligence Job Schedule: Full time Remote: No POSITION: Data Scientist I or II DIVISION: Metrology and Analysis Systems Division (MAD) COMPANY: Hitachi High-Tech America ...

ConsultAdd, Inc.

EDI Analyst

OR · Remote

SOA-based integration and data management; process-driven SAP implementation; and strategic process ... EDI Analyst / Very urgent Requirment Job Type: 100% Remote job / C2C / W2 Interview Mode:

Cotiviti

Data Engineer - AI

$101K - $132K/yr

Perform data analysis and identify any issues. * Work with other groups such as Engineering team ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

... power analytics. These solutions can range from batch data pipelines that bring to life business ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

YipitData

Data Classification Associate, Corporate

OR · On-site +1

$16 - $20.75/hr

YipitData is the leading market research and analytics firm for the disruptive economy and most ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

First American

WI Commercial Searcher (Remote)

OR · On-site +1

$23.37 - $31.15/hr

Performs a wide range of title research requiring considerable judgment, independent analysis and ... 15 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Sagent

Technical Business Systems Analyst SR

OR · Remote

We are currently seeking an experienced Business Analyst, Senior - Data & Mortgage Servicing to ... Experience supporting Agile software development teams. #LI-REMOTE #LI-AN1

NV5

Senior Geospatial Analyst

... remote sensing, data management, quality control, and project delivery teams. Work Environment ... Conduct complex geospatial analyses using transportation-related data sources, including roadway ...

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Hourly Remote Data Analyst information

What is an hourly remote data analyst?

Hourly Remote Data Analysts are professionals who work from a remote location to analyze data for organizations, typically on an hourly wage basis. Their responsibilities often include collecting, cleaning, and interpreting data to help businesses make informed decisions. They use statistical tools and software to identify trends, generate reports, and provide actionable insights. Working remotely allows them flexibility, while being paid hourly means their compensation is based on the time spent on tasks rather than a fixed salary.

What is the difference between Hourly Remote Data Analyst vs Hourly Remote Data Scientist?

AspectHourly Remote Data AnalystHourly Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentRemote, project-based, often in business or marketing sectorsRemote, research-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data interpretation for decision-makingUsed by organizations developing models, algorithms, and advanced analytics

While both roles involve working with data remotely, data analysts focus on interpreting data to inform business decisions, whereas data scientists develop models and algorithms for deeper insights. The roles share similar credentials but differ in complexity and scope.

How does working as an hourly remote data analyst impact collaboration with team members and project managers?

As an hourly remote data analyst, you’ll typically collaborate with cross-functional teams using digital communication tools like Slack, Zoom, and project management platforms. While you may have flexibility in your work hours, it’s important to align your availability with key team meetings and project deadlines. Clear communication and proactive status updates help ensure smooth collaboration and project success. You may also be expected to document your work thoroughly, making it easy for teammates in different time zones to understand your analyses and findings.

What are the key skills and qualifications needed to thrive as an hourly remote data analyst, and why are they important?

To thrive as an Hourly Remote Data Analyst, you need strong analytical skills, data interpretation abilities, and proficiency with data management, often supported by a relevant degree or equivalent experience. Familiarity with technical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Exceptional attention to detail, time management, and clear remote communication are crucial soft skills for this role. These competencies enable effective data-driven decision-making, reliable remote collaboration, and high productivity in a flexible working environment.
What are the most commonly searched types of Remote Data Analyst jobs in Oregon? The most popular types of Remote Data Analyst jobs in Oregon are:
What are popular job titles related to Hourly Remote Data Analyst jobs in Oregon? For Hourly Remote Data Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Analyst jobs in Oregon look for? The top searched job categories for Hourly Remote Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Hourly Remote Data Analyst jobs? Cities in Oregon with the most Hourly Remote Data Analyst job openings:
Hourly Remote Data Analyst jobs near you
Infographic showing various Hourly Remote Data Analyst job openings in Oregon as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Instrumentation Analyst

Rush Street Interactive

OR • Remote

$87K - $116K/yr

Other

Re-posted 4 days ago

Job description

The Instrumentation Analyst plays a critical role in establishing and maintaining standardized, scalable, and reliable client-side event tracking across RSI's digital products. This role is responsible for translating tracking requirements into structured event specifications, enforcing instrumentation standards, and ensuring the quality and consistency of event data across web and mobile platforms. Working closely with Product, Engineering, Marketing, and Analytics stakeholders, the analyst owns the centralized event registry, validates implementations through QA processes, and enforces governance across all instrumentation efforts. By ensuring event data is accurately defined and consistently implemented, this role enables trustworthy downstream measurement, reporting, and data activation.

What You'll Do:

  • Define, document, and maintain standardized event tracking specifications, including naming conventions, payload structures, and parameter usage
  • Own and manage a centralized, version-controlled event registry across web and mobile platforms
  • Partner with Product, Marketing, and Analytics stakeholders to translate business requirements into structured tracking specifications
  • Collaborate with Engineering to support implementation, deployment, and validation of instrumentation across digital products
  • Validate event tracking through QA processes, monitoring, and debugging tools to ensure accuracy and completeness
  • Enforce governance standards related to taxonomy, required fields, naming conventions, and event consistency
  • Own instrumentation intake, prioritization, and change management processes for tracking requests
  • Identify and resolve inconsistencies, duplication, and gaps in event tracking across platforms
  • Support configuration and maintenance of tag management systems, analytics SDKs, and collection tools in alignment with platform standards
  • Maintain documentation and promote best practices to ensure consistent instrumentation across teams

What You'll Bring:

  • Bachelor's degree in Information Systems, Data Analytics, Product Management, Library Sciences, or a related field preferred, or equivalent relevant work experience.
  • 3+ years in digital instrumentation, analytics implementation, QA, or data governance roles
  • Stakeholder Collaboration: 2+ years of experience working with Product, Marketing, Engineering, or Analytics teams to define tracking requirements
  • Event Architecture: Foundational understanding of event-driven tracking systems, data layers, and client-side instrumentation patterns
  • Instrumentation QA & Validation: Experience validating event tracking in web and mobile environments, including debugging and monitoring tools
  • Governance & Documentation: Experience maintaining event registries, taxonomies, and enforcing data collection standards
  • Platform Familiarity: Exposure to tag management systems, analytics SDKs, and instrumentation workflows
  • Problem Solving: Ability to identify inconsistencies in tracking and recommend structured solutions
  • Able to travel occasionally both domestically and internationally #LI-REMOTE #LI-PROMOTE

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