Job Requirements:
Oversee, evaluate and analyze the overall technical experience for telecom customer from Radio to the end servers
Deep investigation for cases Impacting customer experience and provide next best action to enhance experience KQIs
Design and implement analytical use cases for enhancing Network KQIs & customer experience.
Design, implement, and optimize IMS solutions within the PS Core network to support voice, data, and multimedia services.
Develop and maintain machine learning models and algorithms to analyze network performance, predict failures, and optimize Utilization.
Utilize SQL. To query and manipulate large datasets from various network elements and databases for troubleshooting, reporting analysis purposes.
Write efficient and scalable Python scripts for automation, data preprocessing, and statistical analysis.
Create interactive dashboard and reports using Tableau and Poser Bl to visualize network KPIs, trends, and performance metric
Collaborate with cross-functional teams including network operations, engineering, and data science to identify opportunities for improvement and innovation.
Stay updated with the latest developments in PS Core technologies, machine learning techniques, and data analytics tools to drive continuous improvement and innovation.
Analyze and interpret telecom data to identify patterns, trends, and opportunities for optimization.
Develop and implement advanced machine learning models to enhance predictive analytics in the telecom sector.
Collaborate with telecom experts to design and execute data-driven strategies for network optimization, customer experience Improvement, and business growth
Utilize Python and SQL. For data extraction, transformation, and loading (ETL) processes.
Create visually compelling dashboards and reports using Tableau and Power BI for effective data communication.
Stay abreast of industry trends and technological advancements to continuously enhance our data analysis capabilities
Skill requirements
Bachelor’s degree in Telecommunications, Computer Science, or related field. Master’s degree preferred.
Proven experience working with IMS (IP Multimedia Subsystem) within telecommunications networks.
Strong proficiency in machine learning techniques and algorithms, with hands-on experience in implementing ML Models for real-world applications.
Proficiency in SQl. For data manipulation, querying, and analysis.
Advanced programming skills in Python for data preprocessing, modeling, and automation.
Experience with data visualization tools such as Tableau and Power BI to create compelling dashboards and Reports.
Excellent problem-solving skills and the ability to analyze complex data sets to derive actionable insights.
Strong communication and collaboration skills to work effectively in a crossfunctional team environment.
Professional Qualification Grade and Certifications
IMS Core Related certifications, Machine Learning, Data Analytics, Data Visualization (Tableau or Power BI)
Other Requirements
CEM and Machine Learning is must.
Educational Requirements:
Graduation in engineering (preferred Major- IT, Communication, Electronics)
Other (Education Background): Machine learning, Data analytics and Data visualization tools.
Experience: 10+ years
Professional knowledge
Capability: Understand the carrier’s internal architecture and service processes, communicate with customers at different levels on the technical level, provide professional sharing and technical guidance, and present value.
Complete understanding of E2E network elements for MBB networks (4G/5G) and thorough understanding of the KPIs and KQIs used for assessing the Customer Experience.
Understanding of the IMS Core domain processes and relevant performance metrics for customer experience assessment.
Thorough understanding of the TMF Customer Journey for ICT networks.
Experience as an SME on at least one of the primary domains of the MBB networks (PS Core specialty IMS
Thorough understanding of the Machine Learning Modeling project process flows and phases.
Thorough understanding of different visualization tools and providing guidelines for development of various Performance dashboards
Practical experience of leading the teams of Reporting for management, Assurance activities and developing analysis and Insights from available data sources.
Business skill
Communications knowledge must have command of the mobile communication network architecture, services & process and business terms.
Comprehensive understanding of Multi -RAT mobile network different domains and performance indicators
Building client relations, create business opportunities strategic development/ technical excellence influencing and persuasion leadership and communication corporate citizenship /teamwork/ result orientation, commercial awareness.