About the Role
As an RF Cluster Owner within the RF Planning & Optimization Department, you will play a pivotal role in monitoring daily KPIs of assigned clusters and spearheading network enhancement initiatives.
This position is based in our Osaka branch office and is integral to ensuring a superior network experience for our end customers through seamless connectivity and strategic engagement with all stakeholders.
Key Responsibilities
You will be part of either the Central or Regional RF Planning & Optimization team, reporting directly to the Zone Manager.
This role requires a good team player who is comfortable with multicultural interactions and can thrive in a dynamic work environment.
The RF Planning & Optimization division is dedicated to providing an exceptional network experience for the end customer.
As an RF Cluster Owner, you will be responsible for the day-to-day management of assigned clusters, including KPI monitoring and network enhancement initiatives.
Requirements
- 8-10 years of relevant experience
- Bachelor's degree in Engineering (Computer, Electronics, Electrical/Communication Engineering)
- A minimum of 8 years of experience in RF Design & Optimization
- Detailed understanding of vRAN architecture, Open RAN principles, and RAN automation
- Excellent knowledge of Radio KPIs, counters, parameters, and the ability to perform feature trials, worst cell analysis, and issue root cause analysis
- Good knowledge of call flows (User & Signalling) and the ability to troubleshoot RAN issues in the network
- Exposure to at least one of the radio planning tools (Atoll, Planet, Asset, etc.)
- Experience working with any one of the CEM/geo-location tools
- Must be a fast learner, motivated, and willing to work longer hours if required
- Ability to perform Drive tests using third-party tools and analyze the same (Coverage Analysis, L3 message analysis, etc.)
PREFERRED QUALIFICATIONS
- Cross-domain knowledge of IPTX, Core is highly desirable
- Knowledge in any one of the scripting languages is preferred
- Experience in data analytics and data science is a valued skill
Language: English (Overall - 3 - Advanced)