Data Analyst

Qode

New Jersey, New Jersey, United States Hybrid permanent

Posted: March 30, 2026

Quick Summary

We are seeking a detail-oriented Data Analyst to support network analytics and performance insights across telecom or infrastructure datasets, utilizing strong expertise in SQL, Python, and EDA, along with hands-on experience in MTTR analysis, network reliability metrics, capacity planning, and geospatial analytics.

Required Skills

Job Description

About the Role
We are looking for a detail-oriented Data Analyst to support network analytics and performance insights across telecom or infrastructure datasets. The ideal candidate will have strong expertise in SQL, Python, and EDA, along with hands-on experience in MTTR analysis, network reliability metrics, capacity planning, and geospatial analytics.

Role and responsibilities
· Perform exploratory data analysis (EDA) on network datasets such as KPIs, alarms, logs, and performance metrics
· Write and optimize SQL queries for analyzing large-scale, time-series, and event-driven data
· Use Python for data analysis, data wrangling, and automation tasks
· Analyze MTTR (Mean Time to Repair) and support root cause analysis for network incidents
· Track and analyze network reliability metrics (availability, latency, throughput, failure rates)
· Perform geospatial analysis to identify coverage gaps, cell-site performance issues, and location-based insights
· Build and maintain analytical datasets, reports, and dashboards for network operations teams
· Ensure data quality, validation, and consistency across analytics outputs
· Work with GCP (BigQuery, Cloud Storage) for data analysis.

Technical skills requirements
· The candidate must demonstrate proficiency in,
· Strong proficiency in SQL (joins, aggregations, window functions)
· Hands-on experience in Python for data analysis
· Strong understanding of EDA and statistical analysis techniques
· Experience in network analytics use cases:
· MTTR analysis
· Network reliability metrics
· Capacity planning
· Geospatial analytics
· Ability to work with large-scale, time-series, and event-based datasets
· Exposure to cloud platform GCP– BigQuery, Dataproc, Composer
· Strong Knowledge in Python
· Strong understanding of network data structures (KPIs, alarms, logs)

Nice-to-have skills
· Experience with predictive modeling / ML techniques (churn prediction, CLV models)
· Experience with AI-native analytics tools and automation platforms
· Domain expertise in telecom

Qualifications
· Overall 6-7 + years with 3-7 years of relevant work experience in Data Analyst Network Domain
· B.Tech., M.Tech. or MCA degree from a reputed university

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