Skip to content

Data analyst

Maadi, Al Qāhirah, EgyptEGP 12,000 - EGP 14,000 per monthInformation Technology

Job description

NAOS CX is looking to hire a data analyst to join our call center team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of popular data analysis tools and databases.

Work Location:
Maadi, Cairo (On site)
Salary Range: 12,000 to 14,000 EGP depending on experience.
Working hours:
As USA Time, Starts from 3:00 PM or 4:00 PM
Total working hours are 9 hours, including 1.5 Hour Breaks.
+ 2 consecutive days off per week

Data Analyst Responsibilities:

-- Managing master data, including creation, updates, and deletion.
-- Managing users and user roles.
-- Provide quality assurance of imported data, working with quality assurance analysts if necessary.
-- Commissioning and decommissioning of data sets.
-- Processing confidential data and information according to guidelines.
-- Helping develop reports and analyses.
-- Managing and designing the reporting environment, including data sources, security, and metadata.
-- Generating reports from single or multiple systems.
-- Troubleshooting the reporting database environment and reports.
-- Evaluating changes and updates to source production systems.
-- Training end-users on new reports and dashboards.

Job requirements

-- Bachelor’s degree from an accredited university or college in computer science.
-- Work experience as a data analyst for at least 2 years.
-- Fluent English speaker (Must)
-- High-level written and verbal communication skills.
-- Ability to work with stakeholders to assess potential risks.
-- Ability to analyze existing tools and databases and provide software solution recommendations.
-- Ability to translate business requirements into non-technical, lay terms.
-- High-level experience in methodologies and processes for managing large-scale databases.
-- Demonstrated experience in handling large data sets and relational databases.
-- Understanding of addressing and metadata standards.


Apply with Linkedin unavailable
Apply with Indeed unavailable