Remote Telecom Data Analyst & Data Flow Expert

Medium; Remote; SAR 262,000 - 338,000; Full time

Job summary

A technology consulting firm is looking for a skilled System Data Analyst to remotely analyze high volume data in the telecom sector. Candidates should have 8-10 years of experience in data analysis, strong problem-solving skills, and proficiency in SQL, NoSQL, and Python. Responsibilities include building mapping sheets, validating data flows with data modelers, and engaging in data profiling tasks. Flexible hours and collaboration with experienced professionals offer an excellent opportunity for professional growth.

Benefits

Flexible working hours

Opportunity to work remotely

Collaboration with experienced professionals

Access to cutting-edge technology and tools

Professional development and training opportunities

Qualifications

• 8-10 years of experience in data analysis.
• Experience in telecom sector is a must.
• Proficiency in SQL, NoSQL, and Python.
• Strong problem-solving skills and analytical capabilities.
• Experience with GCP and its cloud services is a plus.
• Knowledge of data warehouse basics and data modeling.

Responsibilities

• Demonstrate data analysis on high volume data sets.
• Build source to target mapping sheets in collaboration with stakeholders.
• Work with data modelers and Data Engineers to validate the E2E data flow.
• Utilize technical proficiency in database design and data mining techniques.
• Engage in data profiling and segmentation tasks.
• Collaborate in GCP and utilize its cloud services.

Skills

SQL

NoSQL

Python

Data Analysis

Problem-solving skills

Analytical capabilities

Tools

GCP

Job description

A technology consulting firm is looking for a skilled System Data Analyst to remotely analyze high volume data in the telecom sector. Candidates should have 8-10 years of experience in data analysis, strong problem-solving skills, and proficiency in SQL, NoSQL, and Python. Responsibilities include building mapping sheets, validating data flows with data modelers, and engaging in data profiling tasks. Flexible hours and collaboration with experienced professionals offer an excellent opportunity for professional growth.