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