Senior Data Analyst, Network Analytics & AI

📋 Description

• Analyse large telemetry and event datasets (KPIs, alarms, downtime, crash reports) to find trends
• Build and validate ML models for anomaly detection, KPI forecasting, crash clustering and
• Use AI and LLM tools to speed up analysis, such as summarising logs and crash reports
• Work with engineering to move validated models from notebooks into production pipelines and
• Define KPIs, metrics and data models with product and engineering teams.
• Write efficient queries and aggregations on Elasticsearch, SQL and Python-based pipelines.

🎯 Requirements

• Bachelor's or Master's in Computer Science, Statistics, Engineering or a related field.
• 10+ years of experience, 5+ years in data analytics, including at least 2 in a senior or lead role.
• Strong SQL and Python (pandas, NumPy); comfortable with large, high-volume datasets.
• Solid grasp of statistics, time-series analysis and anomaly detection.
• Hands-on experience with ML libraries such as scikit-learn, XGBoost or statsmodels.
• Practical knowledge of time-series forecasting (Prophet, ARIMA or similar) and unsupervised anomaly