Specialist – Network Analytics

About the Role

We are looking for a highly analytical and innovative professional to join our Network Analytics & Automation team as a Specialist – Network Analytics.

In this role, you will drive end-to-end data initiatives spanning Data Engineering, Data Science, and Advanced Analytics to enhance network performance, enable automation, and improve customer experience.

You will work across the full data lifecycle — from building robust data pipelines and platforms to developing machine learning models and delivering actionable insights that solve complex business challenges.

The Job

• Design, build, and maintain scalable data pipelines and data architectures (ETL/ELT)
• Integrate and manage large, complex datasets from multiple internal and external sources
• Ensure data quality, governance, security, and compliance across systems
• Enable data accessibility for analytics, reporting, and machine learning use cases
• Develop and deploy machine learning and statistical models to address network and business problems
• Perform exploratory data analysis, feature engineering, and advanced statistical modeling
• Define and implement model evaluation, validation, and optimization techniques
• Continuously improve models to ensure accuracy, robustness, and scalability
• Translate complex datasets into actionable insights and business recommendations
• Develop dashboards, reports, and visualizations to support decision-making
• Work closely with stakeholders to define data-driven problem statements and use cases
• Drive adoption of data-driven decision-making across the organization
• Support deployment of analytics solutions using DevOps / MLOps practices
• Ensure operational stability, monitoring, and performance of analytics systems
• Contribute to the automation of network operations and decision processes
• Use analytics and data science to improve network KPIs and customer quality of experience (QoE)
• Identify trends, anomalies, and opportunities to enhance service reliability and performance

The Person

• Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field
• Minimum 5 years’ experience in Telecommunications or Technology domain
• Minimum 2+ years’ experience in Data Engineering, Data Science, or Analytics
• Data Engineering (SQL, data pipelines, big data technologies, cloud environments)
• Data Science & Machine Learning (Python/R, statistical modeling, ML frameworks)
• Data Visualization tools (Power BI, Tableau, or similar)
• Knowledge of data governance, privacy, and security standards
• Familiarity with DevOps/MLOps practices is an advantage
• Strong analytical and problem-solving skills
• Ability to work across engineering, data science, and business domains
• Excellent stakeholder management and communication skills
• Strategic, innovative, and results-driven mindset
• Ability to thrive in a fast-paced, cross-functional environment