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Remote Data Jobs in Oregon (NOW HIRING)

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 collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

Data Engineer

$114K - $137K/yr

For remote positions, all candidates must complete a video screen with our corporate recruiting team. Responsibilities POSITION SUMMARY: In this fully remote role you will support scalable data ...

Sr. Data Steward

OR · On-site +1

$75K - $100K/yr

Maintain master and reference data in the Master Data Management (MDM) and ERP systems ... Fully Remote * Work Schedule: Fully Remote * Travel: Minimal * Licenses/Certifications: N/A

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Data Architect

OR · Remote

$153K - $170K/yr

Remote What You'll Do: * Define and implement the data architecture strategy for our SaaS platform. * Define a data platform that allows strong data governance, sound operational control, and the ...

Our data and research teams transform raw data into strategic intelligence, delivering accurate ... This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one ...

$50 - $60/hr

Join our team to help train the next generation of AI while enjoying the flexibility of remote work ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Showing results 1-20

Remote Data information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do remote data jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote data in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

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 background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Oregon? The most popular types of Data jobs in Oregon are:
What cities in Oregon are hiring for Remote Data jobs? Cities in Oregon with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Oregon as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.
Service Cloud Data Analyst | Remote

Full-time

Medical, Retirement, PTO

Posted 3 days ago


Job description

Overview

Lifeway is seeking a Service Cloud Data Analyst to administer and optimize contact center technology platforms, including Service Cloud Voice, AWS telephony infrastructure, and the Calabrio Workforce Management System. This role sources, analyzes, and interprets data from contact center workforce management and order management systems to identify trends, create forecasts, and provide insights that help leaders understand the meaning behind the data. The Service Cloud Data Analyst tracks and reports department, team, and individual performance across channels including telephone, email, chat, and fax. 

Why Lifeway? 

Lifeway is a place where you can bring your faith and work experience to join in the most important mission in the world: making disciples of Jesus Christ. Whether you're a creator or storyteller, data guru or problem-solver, or anywhere in between, if you're passionate about serving the church, we have a place for you. Lifeway has a strong Work from Anywhere (WFA) culture that is deeply focused on our mission and values. While headquartered in Nashville, TN, many of our positions are remote-eligible and have autonomy and flexibility with work hours. We provide equipment and resources to ensure team members have access to a productive and ergonomic workspace. We believe building relationships and community is essential to how we work together, so Lifeway hosts all-team meetings several times per year and provides travel for key team gatherings for remote-based team members. Full-time employees are eligible for enrollment in our comprehensive benefits plans including healthcare, vacation and sick time, holiday pay, care days, 401(k) plan, maternity and paternity leave, adoption assistance, mission trip time, and more.If this sounds like a place where you would be excited to serve the kingdom of God, we would love for you to join our team.

Learn more about our culture at team.lifeway.com/culture-code 

This is a remote position in the U.S. with occasional travel to Nashville for in-person team gatherings. #LI-Remote 

Responsibilities
  • Lives out Lifeway's mission and values, showing deep commitment to Kingdom work
  • Administering, configuring, and maintaining Service Cloud Voice and AWS telephony systems to support reliable, high-quality contact center operations 
  • Managing call queue configuration, routing, and reporting to optimize customer and agent experience 
  • Serving as the primary system support contact for Voice and queue-related issues, coordinating with technical teams as needed 
  • Evaluating and implementing new technologies to enhance telephony and workforce management capabilities 
  • Developing and maintaining reports, dashboards, spreadsheets, and pivot tables to track contact center and individual performance metrics 
  • Producing KPI reporting and quarter-end financial reporting to support leadership decision-making 
  • Creating and maintaining forecast models for telephone, chat, and email channels using workforce management system data and established KPIs 
  • Responding to ad hoc data analysis requests, identifying trends, and contributing insight to departmental initiatives and strategic planning 
  • Maintaining proficiency in Calabrio and supporting employee scheduling, phone skills management, and system maintenance 
  • Limited travel: 2-4 times per year, typically overnight
Qualifications

Education

Bachelor's degree in Business, Information Systems, Data Analytics, or a related field, required

Masters degree in Business, Information Systems, Data Analytics, or a related field, not required

Advanced graduate degree (PhD, etc.), not required

Skills, Knowledge, & Experiences, required

  • 3+ years of experience in a call/contact center or customer service environment
  • 3+ years of experience in data analysis, reporting, or a related analytical role
  • Demonstrated experience with workforce management systems (Calabrio preferred)
  • Experience with CRM platforms, preferably Salesforce Service Cloud
  • Demonstrated proficiency in reporting and analysis tools, including Microsoft Excel and similar programs
  • Strong analytical, problem-solving, collaboration, and cross-functional communication skills
  • Working knowledge of telephony and workforce management platforms such as Service Cloud Voice, AWS, Calabrio, or similar contact center technologies
  • Ability to travel to the Middle Tennessee area 2-4 times annually for team gatherings, with 2-3 additional trips per year possible for project work or system implementations 

Actively involved in an evangelical Christian church

Skills, Knowledge, & Experiences, preferred 

  • Salesforce-related certifications such as Salesforce Administrator, Service Cloud Consultant, or similar 
  • AWS certification or demonstrated experience with AWS Connect or similar cloud telephony platforms 
  • SQL proficiency for querying and analyzing data 
  • Background in contact center supervision or workforce planning 
  • Familiarity with variable pay, sales incentive, or financial reporting processes 
Employment Type: FULL_TIME