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Remote Real Time Analyst Jobs in California (NOW HIRING)

Data Engineer

San Francisco, CA ยท On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Trading Analyst

San Francisco, CA ยท On-site +1

$65K/yr

... real-time data who can execute in a fast-paced, creative, and continually-evolving environment ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Trading Analyst

San Francisco, CA ยท On-site +1

$80K/yr

... real-time data who can execute in a fast-paced, creative, and continually-evolving environment ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Trading Analyst

San Francisco, CA ยท On-site +1

$65K/yr

... real-time data who can execute in a fast-paced, creative, and continually-evolving environment ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Data Engineer

San Francisco, CA ยท Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Data Engineer

San Francisco, CA ยท Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live sporting events * Architect low-latency, real-time analytics systems including raw data collection ...

Sr. Real Estate Analyst

Hawthorne, CA ยท On-site +1

$110K - $150K/yr

This role requires you to be onsite - remote or hybrid work will not be considered COMPENSATION AND BENEFITS: Pay range: Sr. Real Estate Analyst/: $110,000.00 - $150,000.00/per year Your actual level ...

Intelligence Pipeline Analyst

San Francisco, CA ยท On-site +1

$90K - $120K/yr

... real-time mission support. This role is designed for professionals who can independently own ... Locations San Francisco, DC, NY Remote status Fully Remote Yearly salary $90,000 - $120,000 ...

... real-time data who can execute in a fast-paced, creative, and continually-evolving environment ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... real-time data who can execute in a fast-paced, creative, and continually-evolving environment ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... real-time data who can execute in a fast-paced, creative, and continually-evolving environment ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Product Engineer

San Francisco, CA ยท On-site +1

$170K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... real-time products fast, reliable, and scalable. This is a remote position. This is a software ...

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Showing results 1-20

Remote Real Time Analyst information

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 the most commonly searched types of Real Time Analyst jobs in California? The most popular types of Real Time Analyst jobs in California are:
What cities in California are hiring for Remote Real Time Analyst jobs? Cities in California with the most Remote Real Time Analyst job openings:
Infographic showing various Remote Real Time Analyst job openings in California as of July 2026, with employment types broken down into 67% Full Time, 8% Part Time, and 25% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.
Data Engineer

Data Engineer

Swish Analytics

San Francisco, CA โ€ข On-site, Remote

$160K/yr

Full-time

Posted 8 days ago


Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 2+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote