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Location
Remote (Brazil)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Nov 9, 2026.

Overview
Company
Impact
Profile match
RADCOM is an Israeli company that provides service assurance and network analytics for telecom operators. Its cloud native probes and analytics monitor 5G core networks to detect service degradation before customers notice. The company is listed on Nasdaq and works with tier one carriers.
Backed by MomentaVC

Description

We are looking for Telecom data Analyst, akey highly technical position within our growing company with a dynamic and exciting environment.

The Telecom data Analyst will take part in developing business insights for RADCOM’s telecom customers, based on network data being collected. The individual is required to demonstrate experience and understanding of Mobile networks, as well as knowledge in programming and/or data analytics using big data, visualization, transformation, AI/ML and analysis tools.

The engineer will be actively involved with requirement definition, design, development and customization of RADCOM analytics solution and will work in partnership with multiple departments and functions within the organization.

The Telecom data Analyst will be in involved with supporting of RADCOM analytic tools and will be involved in solving real issues related to Mobile networks; he/she will work closely with the customer and partners in a dynamic versatile environment with cutting-edge technologies.

The Telecom data Analyst will take part in developing creating BI solutions on industry standard tools as well as home-grown tools. This includes developing data models as well as visualization layer utilizing “soft” development and programming skills.

Requirements

  • Bachelor's degree in engineering or computer science
  • 5+ years of experience in data analytics and troubleshooting of 4G/5G RAN, wireless core and IMS core networks
  • Experience with wireless network functions, protocols and call flows (for example S1AP, SIP, RTP, Diameter, GTP, HTTP/2)
  • Understanding the big picture of how a mobile network operates, and the ability to troubleshoot complex scenarios
  • Experience with BI and data visualization tools (Tableau, Power BI, Grafana, Cognos or similar)
  • Understanding of network KPIs and metrics, with experience using analytical tools and techniques
  • Experience with ETL tools and data pipelines (for example NiFi, Kafka)
  • Strong SQL skills, including complex queries
  • Familiarity with Linux
  • Programming or scripting experience (HTML5, JavaScript, jQuery, Python, R, Java)
  • A track record of positive customer-facing engagement
  • Excellent written and spoken communication skills
  • Self-driven and collaborative, with strong listening skills and the ability to lead new design and process changes

Responsibilities

  • Develop data models and the visualization layer for BI solutions on industry-standard and in-house tools
  • Build and maintain ETL processes and data pipelines that prepare network data for analysis
  • Define and track network KPIs and metrics, and translate findings into clear recommendations for customers
  • Support and enhance analytics tools in production, resolving issues raised by customers and partners.
  • Troubleshoot complex network scenarios end to end using protocol traces and call flows (for example S1AP, SIP, RTP, Diameter, GTP, HTTP2, NGAP).
  • Analyze 4G/5G RAN, wireless core and IMS network data to uncover performance issues, trends and optimization opportunities
  • Define requirements for, design and customize the company's analytics solution together with product and engineering teams
  • Work directly with operator customers and partners to understand their needs and present insights
  • Contribute new ideas for design and process improvements in a collaborative, cross-functional team.
  • Support weekly user forum calls to demonstrate new tool features and train users on company's analytics tools.
  • Develop shell and Python scripts to automate custom analytics solution deployment for customers' lab and production environments.
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