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Remote Real Time Analyst Jobs in Portland, OR (NOW HIRING)

VAST Data

Senior Software Engineer - Database

Vancouver, WA · On-site +1

$111K - $150K/yr

We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and ...

Varsity Tutors

Real Estate License Tutor

Portland, OR · Remote

$28 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching real estate math calculations, contract analysis, and regulatory application ...

PLACE

Real Estate Agent - Luxury Focused

Lake Oswego, OR · On-site +1

$150K - $250K/yr

... analytics, and an intuitive CRM that streamlines your workflow and keeps your pipeline thriving ... If you're ready to enhance your results, safeguard your time, and deliver extraordinary service, w ...

Aprio

Senior Tax Manager - Real Estate

Portland, OR · On-site +1

Strong analytical and problem-solving skills with attention to detail. * Proficiency with tax ... discretionary time off structure - Parental Leave - coverage for both primary and secondary ...

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All JobsReal Time Analyst JobsRemote Real Time Analyst JobsRemote Real Time Analyst Jobs in Portland, OR

Remote Real Time Analyst information

See Portland, OR salary details

$32.9K

$77.7K

$137.9K

How much do remote real time analyst jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote real time analyst in Portland, OR is $77,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $92,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Real Time Analyst vs Remote Workforce Analyst?

AspectRemote Real Time AnalystRemote Workforce Analyst
CredentialsTypically requires a degree in business, analytics, or related field; certifications like Workforce Management (WFM) are commonSimilar credentials; often holds degrees in business, analytics, or operations management; workforce management certifications are also valued
Work EnvironmentPrimarily monitors real-time call center or operational data; works in contact centers or customer service environmentsAnalyzes workforce data to optimize staffing and productivity; works across various industries including retail, healthcare, and finance
Employer & Industry UsageUsed mainly in call centers, customer service, and telecommunication industriesUsed across multiple sectors to improve workforce efficiency and planning

Remote Real Time Analysts focus on monitoring and managing real-time operational data to ensure service levels, while Remote Workforce Analysts analyze workforce data to optimize staffing and productivity. Both roles require similar skills and certifications but serve different strategic functions within organizations.

What does a Remote Real Time Analyst do?

A Remote Real Time Analyst is responsible for monitoring and analyzing workforce data in real time to ensure optimal staffing levels and efficient operations, often in call centers or customer service environments. They track key metrics such as call volume, agent availability, and adherence to schedules, making adjustments to resource allocation as needed. Working remotely, they utilize specialized software and communication tools to provide timely updates and recommendations to management to maintain service level agreements.

What are the key skills and qualifications needed to thrive as a Remote Real Time Analyst, and why are they important?

To thrive as a Remote Real Time Analyst, you need strong analytical abilities, attention to detail, and a background in workforce management or operations, often supported by a relevant degree. Familiarity with workforce management software (like NICE IEX, Genesys, or Verint), advanced Excel skills, and experience with real-time monitoring tools are typically required. Excellent communication, problem-solving, and time management skills help you effectively coordinate with teams and respond quickly to changing conditions. These skills are crucial for maintaining operational efficiency, optimizing resource allocation, and ensuring service level targets are met in a dynamic remote environment.

How does a Remote Real Time Analyst typically collaborate with other teams to ensure optimal workforce management?

As a Remote Real Time Analyst, you'll work closely with operations, workforce planning, and team leaders to monitor live call volumes, agent adherence, and service levels throughout the day. Collaboration often involves providing real-time alerts or recommendations to help maximize productivity and minimize service gaps. You'll use communication tools like instant messaging, dashboards, and reports to keep all stakeholders informed, ensuring quick, data-driven decisions in a fast-paced environment.
What are popular job titles related to Remote Real Time Analyst jobs in Portland, OR? For Remote Real Time Analyst jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Real Time Analyst jobs in Portland, OR look for? The top searched job categories for Remote Real Time Analyst jobs in Portland, OR are:
Remote Real Time Analyst jobs near you
Infographic showing various Remote Real Time Analyst job openings in Portland, OR as of June 2026, with employment types broken down into 33% Full Time, 60% Part Time, and 7% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $77,694 per year, or $37.4 per hour.

Senior Software Engineer - Database

VAST Data

Vancouver, WA • On-site, Remote

$111K - $150K/yr

Full-time

Re-posted 23 days ago

Job description

Description
VAST Data is looking for a Senior Software Engineer to join our growing team!
This is a great opportunity to join one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. Take part in the design and implementation of the internals of the next-generation hugely scalable and highly performant analytical and vector database.
"VAST's data management vision is the future of the market."- Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
VAST Data is looking for a Senior Backend Software Engineer to help build the engine behind the next generation of scalable, AI-native data infrastructure. In this role, you will focus on the design and development of backend services powering our massively distributed, high-performance combined analytical and vector database, a critical component of VAST's AI data platform.
This is your opportunity to work at the intersection of low-level systems programming, distributed computing, and AI infrastructure-helping us push the boundaries of backend engineering for real-time, petabyte-scale data systems.
What You'll Do
  • Architect and implement core backend components for a distributed vector database using C/C++
  • Design highly scalable distributed data-structures and algorithms optimized for performance, concurrency, and fault tolerance
  • Develop backend services that enable fast search, efficient indexing, and real-time analytics over massive datasets
  • Optimize system performance across multi-threaded and multi-node environments
  • Ensure low-latency, high-throughput data access and manipulation across global deployments
  • Collaborate closely with cross-functional teams to translate backend capabilities into real-world impact

Requirements
What We're Looking For
Must Haves:
  • 5+ years of experience in backend engineering, with strong proficiency in low-level C and C++
  • Hands-on experience designing and building distributed backend systems or infrastructure at scale
  • Experience with distributed data-structures, algorithms and system reliability patterns
  • Expertise in multi-threaded programming, memory management, and performance tuning
  • Proven track record of backend work on high-throughput databases, vector stores, or real-time processing engines
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice to Haves:
  • Experience building or optimizing analytical or vector databases
  • Familiarity with query engine internals, indexing techniques, or storage layer optimizations
  • Knowledge of Python or Java for integration or tooling
  • Bachelor's, Master's or PhD in a related technical field (distributed systems, backend architecture, database internals)

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