Data Analyst III (Network Traffic Analytics

Company Overview

Iridium is an award-winning and innovative satellite communications company with bragging rights to the only network that offers voice and data connectivity anywhere in the world. For over 20 years, Iridium’s unique network and services have supported critical communications needs for individuals, businesses, and the evolving Internet of Things.

At Iridium, we understand the importance of staying connected and the limitations of traditional communications networks. People across the globe, including first responders, humanitarians, global militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote operations all rely on Iridium to stay connected. We take our responsibility for providing these essential communications very seriously and pride ourselves on offering a reliable lifeline when needed.

Likewise, Iridium is committed to providing an exciting and innovative workplace, where employees are challenged to think outside the box and collaborate on new, bold ideas and solutions. Our talented teams are passionate about their work and the impact our company makes around the world. Iridium fosters an empowering and inclusive culture that allows employees to genuinely be their best selves.

We are looking for others who want to join this truly unique company that celebrates our employees and provides the opportunity to truly make a difference in the world.

We are seeking a skilled and analytical Data Analyst III to help understand and improve the performance of our satellite telecommunications network. In this role, you will analyze network traffic, service quality, usage trends, and operational data to identify patterns, investigate issues, and support data-driven decision making across the organization. Working with satellite network, RF, systems engineering, operations, customer-facing, and data teams, you will collect, analyze, and visualize data from multiple sources to help explain network behavior and support operational improvements.

The ideal candidate is curious, detail-oriented, and comfortable working with large datasets using SQL, Power BI, Snowflake, and other analytical tools. Success in this role requires strong analytical skills, effective communication, and a willingness to develop expertise in satellite telecommunications and network operations.

• Analyze satellite telecommunications network data to identify trends, anomalies, service issues, and usage patterns that impact network performance or customer experience.
• Investigate operational and customer questions by querying and analyzing data using SQL, Snowflake, Power BI, and other analytical tools.
• Develop reports, dashboards, and visualizations that communicate network performance metrics, operational trends, and key findings to technical and business stakeholders.
• Analyze network telemetry, call detail records (CDRs), session data, RF metrics, gateway performance, device usage, and other operational datasets.
• Collaborate with RF Engineering, Network Engineering, Systems Engineering, Operations, and Data Engineering teams to validate data, improve reporting accuracy, and support operational initiatives.
• Build analytical datasets, semantic models, reports, and visualizations that support investigation, monitoring, root-cause analysis, executive communication, and customer-facing explanation.
• Monitor key performance indicators such as throughput, latency, call success rates, beam utilization, gateway performance, and traffic trends.
• Assist with capacity analysis by evaluating utilization patterns and identifying areas that may require further investigation or planning.
• Confidently communicate findings through concise written summaries, presentations, Power BI reports, and ad hoc analysis; tailor the level of technical detail to executive, engineering, operational, or customer audiences.
• Develop deep domain knowledge of Iridium's business, products, satellite architecture, network operations, customer usage patterns, and data landscape.

• Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science,…