Data Correlation – Crowdsourced vs Network KPI Correlation

Requirements:

• Strong experience in data correlation and analysis, particularly in telecommunications/network performance data.

• Strong ability to correlate crowdsourced QoE (Quality of Experience) data with internal network performance metrics.

• Proficient in analyzing and correlating:

  • Network KPI / Performance Management (PM)
  • CDR / xDR (Call/Data Records)
  • OSS / NMS
  • Traffic data
  • Geographic / location-based data
  • Temporal / time-series data

• Able to identify relationships, trends, anomalies, and discrepancies between customer-perceived QoE and network-side performance indicators.

• Experienced in performing multi-source data integration, validation, cleansing, and correlation.

• Strong understanding of telecommunication network KPIs, such as accessibility, retainability, throughput, latency, traffic, availability, and quality indicators.

• Able to perform time-based and geographic correlation to identify network issues and their impact on user experience.

• Strong analytical and problem-solving skills, with the ability to translate correlated data into actionable network insights.

• Familiar with data analysis tools such as SQL, Python, Excel, or BI/data visualization tools.

• Able to work with large-scale datasets and handle data from multiple network and customer-experience sources.

• Strong communication skills and able to present analytical findings clearly to technical and non-technical stakeholders.

Key Competency:

Crowdsourced QoE ↔ Network KPI Correlation, with strong capability to connect customer experience data with network performance, traffic, geographic, and temporal indicators to identify service quality issues and trends.