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Remote Data Processing Jobs in Oregon (NOW HIRING)

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

About the Role The Lead Data Analyst is the senior individual contributor on our Data Analytics ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Experience with image analysis, computer vision, signal processing, or data-driven algorithm ...

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... processes. * Ability to lead technical execution while communicating clearly with business and ...

Establishes and maintains enterprise data standards, governance processes, metadata practices, and ... Onsite, Hybrid, or Remote depending on location. * Occasional travel may be required to support ...

Director of Data Sourcing

OR · On-site +1

$350K/yr

Lead discovery and diligence processes to understand data quality, defensibility, and long-term ... If the remote work is performed outside of these offices, income may be subject to New York State ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... To request assistance with the application process, please email earlycareer@workiva.com . Workiva ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... To request assistance with the application process, please email earlycareer@workiva.com . Workiva ...

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... To request assistance with the application process, please email earlycareer@workiva.com . Workiva ...

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... To request assistance with the application process, please email earlycareer@workiva.com . Workiva ...

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... To request assistance with the application process, please email earlycareer@workiva.com . Workiva ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... To request assistance with the application process, please email earlycareer@workiva.com . Workiva ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... To request assistance with the application process, please email earlycareer@workiva.com . Workiva ...

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... To request assistance with the application process, please email earlycareer@workiva.com . Workiva ...

Showing results 41-60

Remote Data Processing information

See Oregon salary details

$12

$21

$36

How much do remote data processing jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote data processing in Oregon is $21.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $23.65 per hour, depending on experience, location, and employer.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a remote data processing specialist?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are the most commonly searched types of Data Processing jobs in Oregon?

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

What are popular job titles related to Remote Data Processing jobs in Oregon?

For Remote Data Processing jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Data Processing jobs in Oregon look for?

The top searched job categories for Remote Data Processing jobs in Oregon are:

What cities in Oregon are hiring for Remote Data Processing jobs?

Cities in Oregon with the most Remote Data Processing job openings:

Infographic showing various Remote Data Processing job openings in Oregon as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,568 per year, or $21.4 per hour.

Lead Data Analyst

OR • On-site, Remote

Parachute Health
Health Care and Social Assistance • 11 - 50 employees

$160K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

About the Role

The Lead Data Analyst is the senior individual contributor on our Data Analytics team - a Level IV role on our analytics ladder, with no direct reports. You lead through expertise: setting the analytical bar, mentoring analysts, and being the person leadership comes to when a question needs a real answer rather than a guess.

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire organization - clinical operations, supplier performance, payor and network data, product, finance, and go-to-market. The work is broad by design. The core of the job is being an excellent analyst: taking an ambiguous question from any corner of the business, building a rigorous analysis, and delivering a conclusion people can act on. We're hiring for analytical strength and range, not depth in one domain.

Responsibilities Analytical leadership
  • Lead end-to-end analyses on high-stakes, often ambiguous questions - from framing the problem through recommendation and impact measurement.
  • Design dashboards and reporting frameworks that let stakeholders answer their own routine questions without opening a ticket - and recognize when a dashboard is the wrong answer.
  • Set the bar for analytical rigor, methodology, and documentation. By example and by reviewing others' work, not by mandate.
  • Apply statistical methods, experimentation design, and causal inference where they sharpen a conclusion rather than decorate it.
  • Move between business domains and be credible in each, rather than owning one.
  • Partner with leadership to identify where data can drive efficiency, growth, and improve outcomes - including the questions nobody has asked yet.
Partnership with analytics engineering
  • Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it.
  • Turn recurring analytical needs into durable models instead of one-off queries.
  • Hold a high standard for canonical definitions - when two reports disagree, you're the one who finds out why.
Team contribution (not people management)
  • Mentor analysts on technique and business judgment. You don't manage anyone - you're the person newer analysts learn from.
  • Translate findings into clear, concise language for both technical and non-technical audiences. If a new hire couldn't repeat the takeaway back to you, it isn't ready to ship.
  • Influence senior stakeholders, including being the one who says "the data doesn't support that" to someone who wanted a different answer.
What we're looking forExperience
  • 8+ years in data analysis, business intelligence, or a comparable analytical role, with a track record of insights that changed how a business made decisions.
  • 2+ years operating at a senior analyst level - owning complex projects end-to-end and holding others to a quality standard.
  • Experience supporting multiple business functions from a central analytics team.
  • Bachelor's degree in a quantitative or technical field, or equivalent experience.
  • Hands-on experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).
  • Nice to have: exposure to revenue and go-to-market data - pipeline, forecasting, funnel, retention, CRM.
Technical skills
  • Expert-level SQL. Strong Python for statistical work.
  • Advanced Looker or comparable BI tool experience - LookML, dashboard design, and semantic layer thinking.
  • Working knowledge of experimentation design and causal inference - enough to catch correlation being mistaken for causation.
  • Comfort collaborating with analytics engineers on data modeling and warehouse design.
How you work
  • You take a half-formed business question and turn it into a structured analysis without someone holding your hand.
  • You mentor without formal authority - people want your input because it's good, not because you outrank them.
  • You get up to speed on an unfamiliar part of the business quickly, and you'd rather serve ten stakeholders than one.
  • You operate well in ambiguity and move with urgency.

Comfort working with data adjacent to patient and healthcare information, and sound judgment about handling sensitive information, is a plus given our industry.

Benefits

  • Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums.
  • Employer HSA Contribution: Company-funded contributions to your Health Savings Account.
  • 401(k) Retirement Plan
  • Equity Incentive Plan
  • Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance.
  • Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.
  • Flexible Vacation Policy
  • Summer Fridays: 5 additional Fridays off during the summer (separate from PTO).
  • Home Office and Wellness Stipend
  • Monthly Internet Stipend
  • Annual Learning and Development Stipend

Base Salary Bands (based on experience and level)

 $160,000 - $200,000