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Workforce Real Time Analyst Jobs in Georgia (NOW HIRING)

The Senior Workforce Planning Specialist (Workforce Planning Coordinator II) is responsible for ... Collaborate with forecasting and real-time teams to ensure alignment across WFM functions * Analyze ...

The Senior Workforce Planning Specialist (Workforce Planning Coordinator II)is responsible for ... Collaborate with forecasting and real-time teams to ensure alignment across WFM functions * Analyze ...

JOB REQUISITION AI & Workforce Signals Analyst LOCATION ATLANTA - PEACHTREE RD ADDITIONAL LOCATION ... time zones. What Will Help You Be Successful * You care about applying technology to real human ...

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Workforce Real Time Analyst information

See Georgia salary details

$30K

$87.9K

$135.1K

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

As of Aug 7, 2026, the average yearly pay for workforce real time analyst in Georgia is $87,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $108,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a workforce real time analyst?

To thrive as a Workforce Real Time Analyst, you need strong analytical skills, knowledge of workforce management principles, and experience with call center operations, typically supported by a relevant degree or equivalent experience. Proficiency with workforce management software (such as NICE, Verint, or Genesys), Excel, and real-time monitoring tools is essential. Attention to detail, problem-solving abilities, and clear communication are crucial soft skills for quickly responding to changing demands and collaborating with various teams. These skills ensure efficient staffing, optimal service levels, and effective issue resolution in dynamic contact center environments.

How does a workforce real time analyst typically collaborate with operations and management teams to address staffing issues?

A Workforce Real Time Analyst works closely with operations and management teams to ensure optimal staffing levels throughout the day. They monitor real-time call volumes, agent availability, and service levels, communicating any discrepancies or unexpected trends directly to supervisors and managers. By providing timely updates and recommendations, Real Time Analysts help the team make quick decisions, such as reallocating staff or authorizing overtime, to maintain smooth operations and meet performance targets.

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

AspectWorkforce Real Time AnalystWorkforce Scheduler
Primary FocusMonitoring and adjusting staffing in real-time to meet demandPlanning and creating staff schedules in advance
Skills & CertificationsAnalytical skills, real-time data tools, communicationScheduling software proficiency, planning skills
Work EnvironmentContact centers, customer service operationsContact centers, call centers

While both roles support workforce management, the Workforce Real Time Analyst focuses on real-time adjustments to staffing based on current demand, whereas the Workforce Scheduler plans schedules ahead of time. Both roles require analytical skills and familiarity with workforce management tools, but their daily tasks and focus areas differ significantly.

What is a workforce real time analyst?

Workforce Real Time Analysts are professionals who monitor and manage workforce activities in real time, typically within contact centers or customer service environments. Their main responsibility is to ensure that staffing levels meet the current demand by tracking call volumes, employee schedules, and service levels throughout the day. They make immediate adjustments such as reallocating staff, approving overtime, or managing breaks to maintain optimal performance and customer satisfaction. This role is crucial for minimizing wait times, maximizing efficiency, and achieving service-level agreements.
Infographic showing various Workforce Real Time Analyst job openings in Georgia as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $87,878 per year, or $42.2 per hour.

Real-Time Analytics Engineer (Flink, Kafka) - Q125

R2 Technologies Corporation

Alpharetta, GA โ€ข On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago


Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Real-Time Analytics Engineer (Flink, Kafka)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Real-Time Analytics Engineer to build and manage real-time data processing systems using Apache Flink and Kafka. This role focuses on delivering event-driven analytics solutions with Python, Scala, or Java for low-latency insights.
Key Responsibilities
  • Develop real-time analytics pipelines using Apache Flink and Kafka for event-driven data processing.
  • Implement and optimize data workflows to support low-latency analytics and business intelligence.
  • Design Kafka-based event streaming systems to handle high-throughput data flows.
  • Write efficient code in Python, Scala, or Java to process and analyze streaming data.
  • Collaborate with data teams to integrate real-time analytics into broader data platforms.
  • Monitor and troubleshoot streaming pipelines to ensure performance and reliability in production.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Real-Time Analytics Engineer with a focus on Apache Flink and Kafka.
  • Proficiency in building event-driven systems for real-time analytics using Python, Scala, or Java.
  • Experience with Kafka for event streaming and its integration with analytics frameworks like Flink.
  • Strong understanding of real-time data processing and distributed systems design.

Preferred Qualifications
  • Familiarity with cloud-based streaming services like AWS Kinesis or GCP Dataflow for analytics workloads.
  • Exposure to advanced Flink features like stateful processing or complex event processing (CEP).
  • Knowledge of monitoring tools like Grafana for real-time analytics observability.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Apache Flink, Kafka, Event-Driven, Real-Time Analytics, Python, Scala, Java