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From Home Data Analytics Jobs in Oregon (NOW HIRING)

The Role As the Product Manager, Data & Analytics, you will define and execute the strategy for ... You'll lead initiatives from discovery through delivery, using customer research, analytics, and ...

Senior Manager, Finance Data & Analytics

Portland, OR · On-site

$115K - $157K/yr

This is an ideal opportunity for an analytics leader who enjoys building capabilities from the ... Build and lead Columbia's Finance Data & Analytics capability, establishing the roadmap, governance ...

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured lending data, reporting, and risk oversight capabilities. The ideal candidate will own and support ...

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

Experience supporting multiple business functions from a central analytics team. * Bachelor ... Home Office and Wellness Stipend * Monthly Internet Stipend * Annual Learning and Development ...

Senior Claims Data Analyst

Salem, OR · On-site +1

$86K - $109K/yr

The selected candidate will need to reside in Oregon and could work remotely from their home office ... Collaborate with IT and the data & analytics function to support data governance, incorporate the ...

Senior Claims Data Analyst

Salem, OR · On-site

$86K - $109K/yr

The selected candidate will need to reside in Oregon and could work remotely from their home office ... Collaborate with IT and the data & analytics function to support data governance, incorporate the ...

Showing results 21-40

From Home Data Analytics information

What is a work from home data analyst?

A work from home data analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions—all while working remotely. They use statistical tools and software to analyze large datasets, identify trends, and create reports or visualizations. These analysts often collaborate with teams through digital communication platforms and can work in a variety of industries, such as finance, healthcare, or marketing. The flexibility of remote work allows them to perform their tasks from any location with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a work from home data analyst?

To thrive as a Work-From-Home Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or data science. Experience with technical tools like SQL, Excel, Python, R, and data visualization platforms (e.g., Tableau or Power BI) is typically required. Excellent communication, self-motivation, and time management skills help remote analysts collaborate effectively and deliver insights independently. These competencies ensure accurate data interpretation, effective remote teamwork, and impactful business decision-making.

How do remote data analytics professionals typically collaborate with team members and stakeholders while working from home?

Remote data analytics professionals often use a combination of video meetings, instant messaging, and collaborative platforms to stay connected with their teams and stakeholders. Regular virtual stand-ups, shared dashboards, and cloud-based project management tools help ensure transparency and real-time updates on projects. Effective communication and proactive sharing of insights are important for building trust and ensuring that data-driven recommendations are clearly understood and implemented by business partners. While remote, you'll need to be comfortable with both asynchronous and synchronous collaboration to keep projects on track.

What is the difference between From Home Data Analytics vs From Home Data Analyst?

AspectFrom Home Data AnalyticsFrom Home Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Data Science, Analytics, or related field; proficiency in analytics tools
Work EnvironmentRemote, often project-based or consulting rolesRemote, typically in corporate or consulting settings
Employer & Industry UsageTech companies, consulting firms, finance, healthcareTech companies, finance, marketing, healthcare
Common Search & ComparisonYesYes

From Home Data Analytics involves analyzing data remotely across various industries, often focusing on strategic insights. From Home Data Analyst typically performs data analysis tasks remotely within specific organizations, focusing on reporting and operational insights. Both roles require similar skills and credentials but differ slightly in scope and industry application.

Can you work from home in data analytics?

Data analytics jobs often offer remote work options, especially for roles involving data analysis, reporting, and visualization that can be performed using tools like Excel, SQL, and Python. Many companies allow data analysts to work from home full-time or part-time, provided they have a reliable internet connection and the necessary software. Remote work arrangements depend on the employer's policies and the specific responsibilities of the role.

Is data analytics a good career for remote work?

Data analytics is well-suited for remote work because many tasks involve analyzing digital data, using tools like Excel, SQL, and visualization software. Professionals in this field can often collaborate virtually and manage their schedules independently, making remote work a common and viable option.

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

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

What job categories do people searching From Home Data Analytics jobs in Oregon look for?

The top searched job categories for From Home Data Analytics jobs in Oregon are:

What cities in Oregon are hiring for From Home Data Analytics jobs?

Cities in Oregon with the most From Home Data Analytics job openings:

Infographic showing various From Home Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Product Manager, Data & Analytics

OR • On-site, Remote

StarRez
Software Development • 51 - 200 employees

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Job description

The Role  

As the Product Manager, Data & Analytics, you will define and execute the strategy for StarRez's data, analytics, and AI capabilities. You'll partner closely with Engineering, Design, Customer Success, and business leaders to build products that help customers make better decisions, improve operational efficiency, and unlock greater value from their data.  

This role balances strategic thinking with hands-on product execution. You'll lead initiatives from discovery through delivery, using customer research, analytics, and market insights to prioritize opportunities and measure success. You'll also help shape how AI and intelligent automation are incorporated into the platform, ensuring new capabilities solve meaningful customer problems while supporting StarRez's long-term product vision.  

Role Specifics  

  • Work Location: Remote (US) with a strong preference for candidates willing to work a hybrid schedule from Denver, CO  
  • Travel: 5% (The percentage of travel is an estimate and can vary based on business needs.)  
  • Reporting Structure: This role reports to the Senior Director, Product.  

What You Will Own  

  • Define and evolve the long-term product strategy and roadmap for StarRez's data, analytics, and AI capabilities, aligning customer needs with business objectives.  
  • Lead high-impact product initiatives from discovery through launch and continuous improvement, establishing clear success metrics and measuring business impact.  
  • Partner with customers, Engineering, Design, and cross-functional stakeholders to translate insights into scalable, user-centered product solutions.  
  • Use customer research, analytics, experimentation, and market trends to prioritize investments and make data-informed product decisions.  
  • Drive adoption, engagement, and commercial outcomes by delivering products that improve decision-making, operational efficiency, and customer value.  
  • Balance competing priorities across customer requests, technical investments, and strategic initiatives while maintaining a clear long-term product vision.  
  • Champion innovation by identifying opportunities to leverage AI and intelligent automation to enhance the customer experience and strengthen the StarRez platform.  

Required Qualifications  

  • 2+ years of product management experience 
  • Experience owning SaaS, platform, or data-focused products that delivered measurable customer and business impact
  • Proficient in translating customer, business, and technical needs into clear product strategy, requirements, and roadmap priorities
  • Demonstrated success influencing cross-functional teams and executive stakeholders in a collaborative environment
  • Experience using customer research, analytics, experimentation, and product metrics to drive product decisions
  • Proven ability to partner closely with Engineering to deliver scalable, high-quality software solutions
  • Experience with data platforms, business intelligence, analytics, reporting, or AI-driven product capabilities
  • Familiarity with AI-enabled products, data platforms, or intelligent automation, and an interest in applying emerging technologies to solve customer problems

Preferred Qualifications  

  • Experience in higher education, student housing, enterprise SaaS, or related industry 
  • Experience developing pricing, packaging, or go-to-market strategies for software products

Reasons to join our Team: 

  • Opportunity to be a part of a well-established, high-performance company that has been in business for over 30+ years 
  • Full benefits including health care, paid time off, life insurance, and 401k plan with company match for eligible team members. 
  • A supportive team environment with emphasis on learning and development opportunities 
  • Our Promise: You will learn, grow, and be appreciated for your impact and contributions. 
  • Z-Factor: Our most celebrated value, you will work with a team of caring, high-performing, and passionate people who have fun supporting our vision, innovation, and continuous improvement. 

Even if you don't have all of the Preferred Qualifications listed above, but feel you have what it takes to succeed in the role, we would love to hear from you!   

We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply. 

Notice to external Recruiters and Recruitment Agencies: 

StarRez will not accept unsolicited resumes from recruitment agencies, headhunters, or any other third parties for this role through this website or directly to any employee. StarRez and any of our subsidiaries will not pay fees to any third-party agency or company. In addition, we ask that you do not reach out to any employee with regards to this position, or any other positions, now, or in the future.Â