Data Correlation – Crowdsourced vs Network KPI Correlation

PT ELISTEC INFORMATIKA UTAMA; Jakarta Pusat; On-site; IDR 60,000,000 - 90,000,000; Full time

Job summary

PT ELISTEC INFORMATIKA UTAMA is seeking a data correlation specialist to advance crowdsourced QoE analysis and network KPI correlation in Jakarta. You will work with telecom performance data, CDR/xDR, and OSS/NMS to derive actionable insights that improve service quality.

The role requires strong analytical skills, experience with SQL, Python, and BI tools, and the ability to handle large-scale datasets from multiple sources.

Qualifications

• Strong experience in data correlation and analysis.
• Ability to correlate crowdsourced QoE data with internal network metrics.
• Familiar with SQL, Python, Excel, BI/data visualization tools.
• Experience with large-scale datasets from multiple sources.

Responsibilities

• Analyze and correlate network KPI data with crowdsourced QoE.
• Identify trends, anomalies, and discrepancies between customer-perceived QoE and network indicators.
• Perform multi-source data integration, validation, cleansing, and correlation.
• Present findings to technical and non-technical stakeholders and translate into actionable insights.

Skills

Data correlation

Data analysis

Telecom data

KPIs understanding

Tools

SQL

Python

Excel

BI tools

Job description

Data Correlation - Crowdsourced vs Network KPI Correlation

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

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.