Data Analyst III; Network Traffic Analytics) Security Clearance

Position: Data Analyst III (Network Traffic Analytics) with Security Clearance
Company Overview Iridium is an award-winning satellite communications company operating the world's only truly global voice and data network, delivering reliable connectivity anywhere on Earth. For more than 20 years, Iridium has powered mission-critical communications for governments, businesses, aviation, maritime, and the rapidly expanding Internet of Things. Now part of Iridium, Aireon is the world’s only space-based air traffic surveillance system, providing real-time visibility of aircraft over oceans, the poles, and remote regions.

Together, Iridium and Aireon are helping build a safer, more connected, and more efficient future for global aviation. Join our team and help shape how the world stays connected. We foster a collaborative, inclusive culture where employees are empowered to innovate, grow professionally, and make a meaningful impact.

What We’re Looking For:

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.

What You’ll Do:

* 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. What You’ll Need to Succeed:
* Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Information Systems, or a related field, or equivalent experience.

* Typically requires 5+ years of experience in data analysis, business intelligence, analytics, telecommunications, or a related analytical role.

* Advanced SQL skills, including complex joins, window functions, aggregation strategy, temporal analysis, query troubleshooting, and the ability to work with large-scale data sets.

* Strong Power BI skills, including data modeling, DAX, report design for analysis, drill through/drilldown, performance-aware semantic model…