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On Call Telecom Billing Analyst Jobs (NOW HIRING)

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On Call Telecom Billing Analyst information

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How much do on call telecom billing analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for on call telecom billing analyst in the United States is $27.69, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $31.25 per hour, depending on experience, location, and employer.

How much do on call telecom billing analysts make in the US?

On call telecom billing analysts in the US typically earn between $50,000 and $75,000 annually, depending on experience, location, and company size. They often work with billing systems and may require knowledge of telecom billing software and industry regulations.

How to become an On Call Telecom Billing Analyst?

To become an On Call Telecom Billing Analyst, candidates typically need a bachelor's degree in business, finance, or a related field, along with experience in billing, telecommunications, or data analysis. Proficiency with billing software, strong analytical skills, and attention to detail are essential, and certifications in telecom or finance can enhance job prospects. Prior experience in customer service or technical support may also be beneficial for this role.

What is the role of an On Call Telecom Billing Analyst?

An On Call Telecom Billing Analyst is responsible for monitoring, analyzing, and resolving billing issues related to telecommunications services. They often work outside regular hours to address urgent problems, using billing software and data analysis tools to ensure accurate invoicing and service continuity.
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What are the most commonly searched types of Telecom Billing Analyst jobs?

The most popular types of Telecom Billing Analyst jobs are:

What job categories do people searching On Call Telecom Billing Analyst jobs look for?

The top searched job categories for On Call Telecom Billing Analyst jobs are:

Infographic showing various On Call Telecom Billing Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 79% Full Time, 13% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $57,600 per year, or $27.7 per hour.

Pega Infrastructure Analyst

Long Finch Technologies

Brooklyn Center, MN • On-site

Full-time

Posted 26 days ago


Job description

We are looking for a Pega Infrastructure Analyst with strong experience in Pega Platform administration, AWS cloud, Kubernetes, and enterprise deployment automation. The candidate will be responsible for managing Pega infrastructure, performing platform upgrades, implementing DR solutions, and supporting containerized deployments.

Required Skills
  • Strong hands-on experience with Pega Platform administration and upgrades.
  • Experience with Kafka architecture, externalization, replication, and disaster recovery.
  • Knowledge of Elasticsearch and AWS OpenSearch integration.
  • Hands-on experience with Kubernetes and Amazon EKS administration.
  • Experience with Helm charts, Docker, and containerized deployments.
  • Experience implementing Infrastructure-as-Code (IaC) pipelines and automation.
  • Strong understanding of AWS networking, ALB, Ingress, and load balancing.
  • Ability to troubleshoot production issues and perform performance optimization.
Key Responsibilities
  • Manage and support Pega platform environments across development, testing, and production.
  • Execute Pega platform upgrades and validate application stability.
  • Implement Kafka externalization and DR architecture with failover mechanisms.
  • Integrate Pega services with AWS OpenSearch for search capabilities.
  • Develop and maintain Helm charts for automated deployments.
  • Support Kubernetes/EKS clusters, workloads, networking, RBAC, and application availability.
  • Create technical documentation, deployment guides, and DR runbooks.
Preferred Qualifications
  • Experience with cloud-native enterprise applications.
  • Strong understanding of AWS, Kubernetes, and DevOps automation practices.
  • Excellent troubleshooting and communication skills.