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Data Analyst E

Description

We are seeking a detail-oriented Data Analyst to join our dynamic telecom operations team. In this role, you will be instrumental in analyzing operational data related to Microwave (MW) link utilization, server performance, and 4G/5G network metrics. Your primary responsibility will be to transform raw data into actionable insights, identifying trends, anomalies, and opportunities for optimization. You will work closely with operations staff to understand challenges, provide data-driven recommendations, and report on key performance indicators. This position requires a blend of technical data skills and an understanding of telecommunications infrastructure to enhance operational efficiency and network performance.

Requirements

1. Proven experience in data analysis, particularly within a technical or operations environment.

2. Strong proficiency in SQL for data extraction and manipulation from relational databases.

3. Experience using Python or R for statistical analysis, data modeling, and automation.

4. Demonstrated ability to use data visualization tools (e.g., Tableau, Power BI, Grafana) to create insightful reports and dashboards.

5. Experience analyzing datasets related to network performance, server utilization, or similar operational metrics.

6. Solid understanding of data cleaning, transformation, and validation techniques.

Desirable

1. Familiarity with telecommunications concepts (4G/5G architecture, MW links, network KPIs).

2. Experience working directly with telecom operations teams.

3. Experience with big data technologies (e.g., Hadoop, Spark) or cloud platforms (AWS, Azure, GCP).

Candidate Applications :

1


Important information

How did you hear about us? *

Which country's passport do you hold? *

Email *(Please ensure the email matches the one mentioned in your CV or resume)

Please provide your current and expected salary in the box below: *

1. Do you have experience analyzing operational data such as network performance or server utilization? (Yes/No) *

2. Are you proficient in writing SQL queries to extract and manipulate data? (Yes/No) *

3. Do you have hands-on experience using Python or R for data analysis tasks? (Yes/No) *

4. Have you created dashboards or reports using data visualization tools like Tableau, Power BI, or similar? (Yes/No) *