Senior Data Analyst – Prepit

Dsquares

. Collect, clean, transform, and analyze data from multiple sources .

Posted 10/19/2026full-time6th of October City • EgyptSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, ETL/ELT pipeline development, and SQL proficiency, with a strong focus on data quality and reporting. Capable of collaborating with cross-functional teams to define KPIs and optimize data workflows.

Highest-signal resume keywords

SQL ProficiencyETL/ELT Process DesignDashboard Creation Using MetabaseData ModelingData Quality Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLETL ProcessesData WarehousingData ModelingPython (Pandas)Data TransformationData CleaningData ValidationAd Hoc Analysis

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsIndependenceCollaboration

Tools & Technologies

MetabasePostgreSQLMySQLCloud PlatformsModern Data Architectures

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Data ScienceBachelor's Degree in Information SystemsBachelor's Degree in StatisticsBachelor's Degree in Engineering

Industry Keywords

Data AnalysisData QualityKPI DefinitionBusiness InsightsData Workflows

Tech Stack

Tools & technologies

CloudETLMySQLPandasPostgresPythonSQL

About the role

Key responsibilities & impact

Collect, clean, transform, and analyze data from multiple sources
Design, develop, and maintain ETL/ELT pipelines to ensure reliable and timely data availability
Write efficient SQL queries to extract, validate, and analyze data
Build and maintain dashboards and reports using Metabase
Partner with Product, Engineering, and Business teams to define KPIs and reporting requirements
Monitor data quality and implement validation checks to ensure data accuracy
Perform ad hoc analyses to identify trends, opportunities, and business insights
Support data modeling and optimize datasets for reporting and analytics
Document data sources, ETL processes, and reporting logic
Continuously improve data workflows through automation and process optimization

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or a related field
4+ years of experience as a Senior Data Analyst or in a similar role
Strong proficiency in SQL
Hands-on experience designing and maintaining ETL/ELT processes
Experience working with relational databases (PostgreSQL, MySQL, or similar)
Experience creating dashboards and reports using Metabase
Good understanding of data modeling and data warehousing concepts
Experience with Python (Pandas) for data analysis or automation is a plus
Familiarity with cloud platforms and modern data architectures is an advantage
Excellent analytical, problem-solving, and communication skills
Ability to work independently in a fast-paced startup environment

Benefits

Comp & perks

Private medical insurance
Life cover
Hybrid work environment
Maternity benefits
Paternity benefits
Team-building events
Learning and development opportunities