Senior Data Analyst, Network Analytics & AI
Parallel Wireless (company site, opens in a new tab)10+ yrsPuneHybridDirect career pageEst. 30–45 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end analytics of 5G/LTE network telemetry and operational data, transforming raw data into insights that enhance network reliability and customer experience.
- Develop, validate, and deploy ML models for anomaly detection, KPI forecasting, and root cause analysis on network telemetry data.
- Collaborate cross-functionally with engineering and product teams to integrate models into production pipelines, dashboards, and define key network metrics.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or related field.
- 10+ years total work experience with at least 5 years in data analytics and 2 years in a senior or lead role.
- Proficient in SQL and Python (pandas, NumPy) working with large datasets, with strong skills in statistics, time-series analysis, and anomaly detection.
- Hands-on experience with ML libraries (scikit-learn, XGBoost, statsmodels) and time-series forecasting or unsupervised anomaly detection methods.
Ideal Candidate Profile
- Experienced in telecom network data analytics and familiar with 4G/5G KPIs and RAN concepts to contextualize analytics for network performance.
- Capable of leveraging AI and LLM tools practically to accelerate analysis and automate insights throughout the data lifecycle.
- Skilled collaborator who can work closely with engineering to transition data science models from notebooks to production at scale.