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Remote Real Time Analyst Jobs in Spring, TX (NOW HIRING)

ComboCurve, Inc.

Account Executive

Houston, TX · On-site +1

Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user ... We offer a very competitive salary and benefits package and are a completely remote company. In ...

CMA CGM

Pricing Analyst - REMOTE

Houston, TX · On-site +1

The pace is fast, the challenges are real, but the rewards are greater: growth, purpose, and the ... This includes competitive Paid Time Off, 401(k), health insurance and an employee benefits platform ...

TeemaGroup

Senior Solutions Architect- REMOTE

Houston, TX · Remote

$99 - $100/hr

Remote Work Environment * Flexible Time Away From Work Policy including PTO, Personal and Sick Days ... Experience designing solutions involving real-time data ingestion technologies such as Kafka, Camel ...

YO AI Labs

GIS/geospatial Expert - Remote

Houston, TX · Remote

$80 - $100/hr

You will apply your technical expertise to evaluate and document real-world geospatial workflows ... Provide expert analysis and feedback on GIS and geospatial challenges. * Document technical ...

Huntington

Assistant Trust Real Estate Manager

Houston, TX · On-site +1

$24 - $44.50/hr

Remote roles will also have the opportunity to come together in our offices for moments that matter ... paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice:

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All JobsReal Time Analyst JobsRemote Real Time Analyst JobsRemote Real Time Analyst Jobs in Spring, TX

Remote Real Time Analyst information

See Spring, TX salary details

$27.6K

$65.2K

$115.7K

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

As of Sep 14, 2026, the average yearly pay for remote real time analyst in Spring, TX is $65,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $77,400.00 per year, depending on experience, location, and employer.

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?

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 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 are popular job titles related to Remote Real Time Analyst jobs in Spring, TX?

For Remote Real Time Analyst jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Real Time Analyst jobs in Spring, TX look for?

The top searched job categories for Remote Real Time Analyst jobs in Spring, TX are:

What cities near Spring, TX are hiring for Remote Real Time Analyst jobs?

Cities near Spring, TX with the most Remote Real Time Analyst job openings:

Remote Real Time Analyst jobs near you
Infographic showing various Remote Real Time Analyst job openings in Spring, TX as of September 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $65,194 per year, or $31.3 per hour.

Senior Software Engineer, Python

Houston, TX • On-site, Remote

ComboCurve, Inc.
Oil and Gas Extraction • 11 - 50 employees
Learn more about ComboCurve, Inc.external

$116K - $156K/yr

Full-time

Re-posted 19 days ago

Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and maintain the calculation logic, data flows and infrastructure that power ComboCurve's Economics engine. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building new features that make ComboCurve's platform even more powerful.
What You'll Do
  • Write efficient Python code on structured time series datasets that scales easily across cloud infrastructure.
  • Own features end-to-end-from scoping and design through implementation, deployment, and monitoring-working as an independent unit alongside our Product Manager.
  • Engage in software and infrastructure system design discussions, contributing to architectural decisions that shape the ComboCurve platform.
  • Build and maintain backend services and APIs in Python that are reliable, well-tested, and straightforward to extend.
  • Model, query, and optimize data in MongoDB-schema design, indexing, and aggregation pipelines-so product features stay fast as data grows.
  • Deploy and operate containerized services on cloud infrastructure, leveraging GCP components such as Cloud Run, Cloud Functions, and GCS.
  • Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code quality, and explore new product capabilities.
  • Collaborate with engineering peers through code reviews, technical documentation, and shared standards that raise code quality the team.

Requirements
Technical
  • Python: Production-grade Python 3.13+, type annotations and async/await as the default. No shortcuts on type safety.
  • API Design: Clean REST or gRPC services with OpenAPI contracts. Knows how to version and evolve APIs without breaking consumers.
  • Web Frameworks & Serving: Hands-on experience with Flask and/or FastAPI for building production services, and comfortable configuring Gunicorn for WSGI deployment.
  • Software Architecture Patterns: SOLID principles and clean architecture in practice. Designs decoupled, maintainable services that scale.
  • Data & Statistical Analysis: Comfortable working with structured datasets in Python using tools like pandas or numpy for basic statistical analysis, exploratory analysis, and deriving actionable insights from data.
  • Data Processing & Visualization: Able to process medium-to-large datasets efficiently and communicate findings clearly through simple visualizations or reports when needed.
  • SaaS Delivery: Proven track record taking features to production in cloud-based SaaS products. Comfortable with the full lifecycle from dev to deploy to monitor.
  • MongoDB: Schema design, indexing, and aggregation pipelines in production. ODM like MongoEngine or native driver, e.g. PyMongo.
  • Modern Dependency Management: Hands-on with uv or similar for fast package resolution and virtual environment handling.
  • Testing: Comprehensive pytest suites including fixtures, parameterization, and mocked external services.
  • Containerization: Docker and Docker Compose for local and production. Knows how to keep images lean.
  • Code Quality: Enforces standards via tools like ruff and pyright. Treats static analysis as a first-class concern.

Nice to Have
  • Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud Functions, and Cloud Storage.
  • AI Integration: Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features without needing to be an ML specialist.
  • Domain Knowledge: Experience in the oil and gas industry or a background in Petroleum Engineering; the context matters here and shapes better product decisions.

Workflow & Collaboration
  • Takes ownership end-to-end, from scoping to shipping to iterating.
  • Can translate ambiguous product requirements into concrete technical proposals.
  • Communicates tradeoffs clearly to both engineers and non-technical stakeholders.
  • Reviews code to raise quality and share context, not just approve.

While this is a fully remote position, there will be an in person New Hire Orientation.

Apply