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Data Analyst

Three Rivers, Michigan, United StatesOnsiteFull TimePosted 2 months ago

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Role summary

We are seeking a detail-oriented Data Analyst to join our team, focusing on network analytics and performance insights within telecom or infrastructure datasets. The role involves performing exploratory data analysis (EDA) on network data, writing and optimizing SQL queries for large-scale datasets, and utilizing Python for data analysis and automation. Key responsibilities include analyzing MTTR, network reliability metrics, and performing geospatial analysis. You will also build and maintain analytical datasets, reports, and dashboards, ensuring data quality and consistency. Experience with GCP (BigQuery, Cloud Storage) is required, along with a strong understanding of network data structures.

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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