data analyst

senior data engineer

business analyst

data engineer

data scientist

data analytics analyst

Namshi.com

<div>
 
 
 About namshi
 
 
 
 Namshi is the Middle East's largest online fashion shopping hub for women, men, and kids. Since 2011, we have grown to offer an extensive selection of leading brands.
 
 
 
 
 
 We're on a mission to deliver the wardrobe for the region&rsquo;s change. To ignite a new generation of personal expression through style. We are dynamic, bold, fun, and rebellious, just like the wave of change in our new generation. Everyone has style, and we&rsquo;re promoting individualism.
 
 
 
 
 
 We encourage every person to be who they are, express it and live it to the max. Through style, to highlight our offering and emphasize our fashion.
 
 
 
 
 
 Namshi is part of the noon Group.
 
 
 
 
 
 
 What you'll do?
 
 
 
 We are seeking a Data Analyst to join our growing Marketplace Ops team. The ideal candidate should have strong hands-on expertise in SQL and Looker(or any BI tool), with a passion for uncovering insights through data and empowering teams through intuitive dashboards and clear metrics.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain robust data models using SQL and LookML.
 </li>
 <li>
 Design, build, and optimize interactive dashboards using Looker.
 </li>
 <li>
 Perform data analysis to extract actionable insights and support business decision-making.
 </li>
 <li>
 Collaborate with cross-functional stakeholders to understand analytics requirements and deliver impactful solutions.
 </li>
 <li>
 Ensure data accuracy, consistency, and integrity across all reporting and analytics.
 </li>
 <li>
 Proactively identify opportunities for performance improvement and optimization in dashboards and reporting processes.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 :
 
 <ul>
 <li>
 2&ndash;4 years of professional experience working with SQL and Looker
 </li>
 <li>
 Strong proficiency in data modeling concepts and LookML
 </li>
 <li>
 Ability to independently manage tasks, prioritize effectively, and engage multiple stakeholders.
 </li>
 <li>
 Experience working in dynamic, fast-paced, and data-driven environments.
 </li>
 <li>
 
 Familiarity with version control systems (e.g., Git) and techniques for optimizing dashboard performance is a plus.
 
 </li>
 </ul>
 
 
 
 
 
 
 Who You Are
 
 
 :
 
 <ul>
 <li>
 Analytical and detail-oriented with a curiosity to explore data deeply.
 </li>
 <li>
 Self-driven, resourceful, and comfortable working autonomously.
 </li>
 <li>
 Effective communicator who can clearly translate technical findings into actionable insights.
 </li>
 <li>
 Enthusiastic about continuous learning and keeping up with analytics best practices.
 </li>
 <li>
 If you're passionate about data analytics, thrive on providing clarity through data, and enjoy enabling teams to make informed decisions, we'd love to connect with you!
 </li>
 </ul>
 
 
 
 
 
 Who will excel?
 
 
 <ul>
 <li>
 We&rsquo;re looking for people with high standards, who understand that hard work matters.
 </li>
 <li>
 You need to be relentlessly resourceful and operate with a deep bias for action.
 </li>
 <li>
 We need people with the courage to be fiercely original.
 </li>
 </ul>
 
 
</div>

Data Analyst

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are looking for a
 
 Technical Data Analyst
 
 to join our Data Management and AI team and contribute to building data-driven solutions that power our digital banking platform.
 
 
 In this role, you will work closely with engineering, analytics, and business teams to gather requirements, design data processes, and support data integration initiatives. You will play a key role in enabling accurate data analysis and reporting to support business decisions and enhance the customer banking experience.
 
 
 This is an excellent opportunity for a
 
 junior data professional
 
 looking to grow within a fast-paced fintech environment.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the full technology stack within QNBeyond Plus, enabling advanced analytics, data management, and AI-driven capabilities.
 
 
 Our team collaborates with multiple technology and product teams to manage, analyze, and serve data that drives innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Data Analysis &amp; Collaboration
 
 <ul>
 <li>
 Act as a bridge between
 
 technical teams and data stakeholders
 
 .
 </li>
 <li>
 Gather and document
 
 reporting and data requirements
 
 .
 </li>
 <li>
 Collaborate with engineering and analytics teams to support data initiatives.
 </li>
 </ul>
 
 Data Engineering Support
 
 <ul>
 <li>
 Translate integration requirements into
 
 procedures, scripts, and technical documentation
 
 .
 </li>
 <li>
 Assist in designing
 
 data ingestion pipelines
 
 .
 </li>
 </ul>
 
 Data Quality &amp; Verification
 
 <ul>
 <li>
 Design and support
 
 data validation and verification procedures
 
 .
 </li>
 <li>
 Ensure data accuracy, integrity, and reliability across systems.
 </li>
 </ul>
 
 Project Delivery
 
 <ul>
 <li>
 Support data initiatives and drive assigned tasks to completion.
 </li>
 <li>
 Contribute to Agile processes and cross-team collaboration.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , driven to take initiative and achieve results
 </li>
 <li>
 A
 
 team player
 
 , eager to collaborate and learn
 </li>
 <li>
 A
 
 problem solver
 
 , focused on identifying solutions
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering high-quality results
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding security and compliance
 </li>
 <li>
 Adaptable to a
 
 growing fintech environment
 
 </li>
 </ul>
 
 Qualifications
 
 
 Technical Skills
 
 <ul>
 <li>
 Strong knowledge of
 
 SQL
 
 </li>
 <li>
 Understanding of
 
 data modeling concepts
 
 </li>
 <li>
 Knowledge of
 
 programming or scripting tools
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong
 
 verbal and written communication skills
 
 </li>
 <li>
 Experience with
 
 requirements gathering and documentation
 
 </li>
 </ul>
 
 Domain Knowledge
 
 <ul>
 <li>
 Understanding of
 
 banking or financial services
 
 is a plus
 </li>
 <li>
 Experience in
 
 regulated environments or PCI/DSS compliance
 
 is advantageous
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience in software engineering, data analysis, or system analysis
 
 </li>
 <li>
 At least
 
 1 year of experience in fintech or regulated environments
 
 is preferred
 </li>
 </ul>
 
 
</div>

<div>
 
 About the Role
 
 
 We are seeking an experienced
 
 Temenos Data Analyst
 
 to support data analysis, validation, and reporting initiatives related to our Temenos core banking ecosystem.
 
 
 In this role, you will work closely with engineering, data, and business teams to analyze and validate data extracted from core banking systems, ensuring high levels of data accuracy and consistency.
 
 
 The ideal candidate will have strong experience working with
 
 Temenos data structures
 
 , advanced SQL skills, and the ability to translate business requirements into meaningful analytical outputs.
 
 
 Key Responsibilities
 
 
 Temenos Data Management
 
 <ul>
 <li>
 Configure and manage
 
 Temenos Data Source (TDS)
 
 including provider setup, parameterization, and data imports/exports.
 </li>
 <li>
 Implement business rules using plugins and manage provider configurations.
 </li>
 <li>
 Ensure proper
 
 end-to-end data flow from Temenos core systems
 
 .
 </li>
 </ul>
 
 Data Analysis &amp; Validation
 
 <ul>
 <li>
 Analyze, validate, and reconcile data extracted from Temenos systems.
 </li>
 <li>
 Ensure
 
 data accuracy, completeness, and consistency
 
 across analytical outputs.
 </li>
 <li>
 Investigate data discrepancies and perform
 
 root cause analysis
 
 .
 </li>
 </ul>
 
 Data Querying &amp; Reporting
 
 <ul>
 <li>
 Design and execute complex data queries using
 
 Oracle Database, SQL, and PL/SQL
 
 .
 </li>
 <li>
 Support reporting and analytical requirements across business teams.
 </li>
 </ul>
 
 Data Processing &amp; Automation
 
 <ul>
 <li>
 Support data preparation and transformation using
 
 Python (Pandas)
 
 where required.
 </li>
 <li>
 Automate data-related tasks using scripting tools.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with business and reporting teams to translate requirements into
 
 data mappings and analytical outputs
 
 .
 </li>
 <li>
 Participate in
 
 Agile delivery processes
 
 , including backlog refinement and testing activities.
 </li>
 </ul>
 
 Support &amp; Documentation
 
 <ul>
 <li>
 Provide
 
 L2/L3 support for data-related issues
 
 within the Temenos ecosystem.
 </li>
 <li>
 Maintain documentation for data definitions, mappings, and usage guidelines.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 
 2&ndash;5 years of experience in data analysis or banking data environments
 
 </li>
 <li>
 Proven experience working with
 
 Temenos core banking data
 
 </li>
 </ul>
 
 Technical Skills
 
 <ul>
 <li>
 Temenos Data Source (TDS)
 </li>
 <li>
 Oracle Database
 </li>
 <li>
 SQL
 </li>
 <li>
 PL/SQL
 </li>
 <li>
 Data validation and reconciliation
 </li>
 </ul>
 
 Data Engineering &amp; Analytics
 
 <ul>
 <li>
 Python (Pandas) for data processing
 </li>
 <li>
 Data mapping and transformation
 </li>
 <li>
 Understanding of
 
 banking data flows and core banking integrations
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities
 </li>
 <li>
 Strong documentation and communication skills
 </li>
 <li>
 Experience working in
 
 Agile development environments
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience working with
 
 Temenos core banking platforms
 
 </li>
 <li>
 Experience supporting
 
 banking reporting and analytics initiatives
 
 </li>
 <li>
 Familiarity with
 
 data warehousing or analytics platforms
 
 </li>
 <li>
 Experience working in
 
 digital banking or fintech environments
 
 </li>
 </ul>
</div>

Data Analyst - Temenos

2S HomeWear

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 Analyze complex datasets to identify trends, patterns, and actionable insights that support business decision-making.
 </li>
 <li>
 Develop and maintain interactive dashboards and reports using Power BI and Metabase.
 </li>
 <li>
 Write, optimize, and maintain Python scripts for data cleaning, transformation, and analysis.
 </li>
 <li>
 Use SQL to extract, manipulate, and validate data from multiple sources.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
 </li>
 <li>
 Present findings and insights to stakeholders in a clear, concise, and business-friendly manner.
 </li>
 <li>
 Ensure data accuracy, integrity, and consistency across all reporting tools.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or any relevant field.
 </li>
 <li>
 3&ndash;5 years of proven experience as a Data Analyst or in a similar role.
 </li>
 <li>
 Strong proficiency in Python (Pandas, NumPy); experience with Jupyter Notebook is a plus.
 </li>
 <li>
 Hands-on experience with Power BI (dashboard development, DAX functions, and data modeling).
 </li>
 <li>
 Mandatory experience with Metabase (dashboard creation, data exploration, and reporting).
 </li>
 <li>
 Solid knowledge of SQL (writing complex queries, data extraction, and performance optimization).
 </li>
 <li>
 Strong command of English (written and spoken).
 </li>
 <li>
 Ability to transform complex data into meaningful business insights.
 </li>
 <li>
 Excellent analytical thinking and problem-solving skills.
 </li>
 </ul>
</div>

Data analyst

Amazon

<div>
 
 Description
 
 
 
 Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Development of data collection processes and data management systems
 </li>
 <li>
 Designing of queries, compiling of data, and generation of reports in SQL
 </li>
 <li>
 Charting and graphing of data for reporting purposes
 </li>
 <li>
 Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
 </li>
 <li>
 Develop automation solution for analysis (python)
 </li>
 <li>
 Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
 </li>
 <li>
 Supporting leadership team how to interpret data trends as needed
 </li>
 <li>
 In depth research of defect trends
 </li>
 <li>
 Present analysis in easily digestible standard reports
 </li>
 <li>
 Support to ICQA &amp; Learning Team Projects
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience that includes strong analytical skills, attention to detail, and effective communication abilities
 </li>
 <li>
 Experience communicating clearly and effectively with different functional groups including senior business leaders, finance, HR and developers
 </li>
 <li>
 Experience managing and executing large projects from start to finish, including project management, data gathering and modeling, problem solving, and communicating recommendations
 </li>
 <li>
 Experience translating customer needs into business requirements
 </li>
 <li>
 Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3176702
</div>

Data Analyst, AMET Central Data Analytics team

Tabby | تابي

<div>
 
 
 Department:
 
 Risk Core
 
 
 
 Location:
 
 Egypt
 
 
 
 
 Description
 
 
 
 
 About us:
 
 
 
 Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.
 
 
 The company&rsquo;s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
 
 
 Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
 
 
 Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.5 billion.
 
 
 
 About the role:
 
 <ul>
 <li>
 Build and scale a fully automated financial backbone where every money movement across all products is system-driven, reconciled, and audit-ready.
 </li>
 <li>
 This role sits at the intersection of Product, Finance Control, Billing, and Engineering, acting as the quality gate for end-to-end accounting correctness in a highly regulated, fast-growing fintech environment.
 </li>
 <li>
 Our ambition is bold: to become one of the first companies in the market with 100% automated, real-time, and traceable financial flows across products.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do:
 
 
 
 <ul>
 <li>
 Drive reporting automation in close partnership with Financial Control and Billing teams, ensuring all money movements are system-driven and accurately posted.
 </li>
 <li>
 Own and validate end-to-end accounting cycles across products, acting as the final quality gate before ERP.
 </li>
 <li>
 Serve as the 360&deg; reconciliation authority, ensuring consistency between product systems, ledgers, ERP, and external statements.
 </li>
 <li>
 Design and maintain monitoring and controls to guarantee data validity, reconciliation completeness, and automation reliability.
 </li>
 <li>
 Work cross-functionally with Product, Engineering, Finance, and Data to resolve discrepancies at the root cause and continuously improve financial automation.
 
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Computer Engineering, Economics, Statistics or actuarial science.
 </li>
 <li>
 2+ years of relevant experience in a data analytics team. Experience in analytics team in
 
 at a bank or Fintech
 
 is huge plus
 </li>
 <li>
 Strong analytical and data capabilities, backed up by technical coding skills.
 </li>
 <li>
 Proficiency in SQL and Excel is a must.
 </li>
 <li>
 Strong understanding of statistical analysis
 </li>
 <li>
 Experience with visualization tools: i.e. Tableau, Power BI.
 </li>
 <li>
 Excellent command of English
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Ability to effectively present complex data and findings in a clear and concise manner
 </li>
 </ul>
 
 Who This Role Is For:
 
 <ul>
 <li>
 You think in systems, flows, and controls, not spreadsheets.
 </li>
 <li>
 You are obsessed with correctness, determinism, and edge cases.
 </li>
 <li>
 You want to build something foundational, not incremental.
 
 
 
 </li>
 </ul>
 
 Job Benefits
 
 
 
 <ul>
 <li>
 We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
 </li>
 <li>
 A working environment that gives you autonomy and responsibility from day one.
 </li>
 <li>
 You should be comfortable with the idea that the quality of your work will influence the shape of your career.
 </li>
 <li>
 Participation in the company&rsquo;s employee stock options program.
 </li>
 <li>
 Health Insurance
 </li>
 <li>
 Flexi Perks: A monetary benefit that gives you the freedom to use it as you choose&mdash;whether for health and well-being, education and professional development or travel needs!
 
 </li>
 </ul>
</div>

Data Analyst (Financial Analytics)

<div>
 
 About the Role
 
 
 We are looking for a
 
 Business Data Analyst
 
 to join our Data Management and AI team and support data-driven decision-making across our digital banking platform.
 
 
 In this role, you will work closely with business stakeholders and technical teams to translate business questions into measurable metrics, build dashboards, and ensure that data insights support business objectives.
 
 
 This position is ideal for a
 
 junior analyst
 
 who is passionate about data, analytics, and financial technology and wants to grow within a fast-paced fintech environment.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the entire technology stack at QNBeyond Plus, enabling advanced analytics, reporting, and AI-driven insights.
 
 
 Our team collaborates with multiple technology and business teams to manage, analyze, and serve data that helps deliver innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Business &amp; Data Collaboration
 
 <ul>
 <li>
 Act as a bridge between
 
 business stakeholders and data teams
 
 .
 </li>
 <li>
 Gather and document
 
 reporting and analytics requirements
 
 .
 </li>
 <li>
 Translate business questions into
 
 metrics, KPIs, and analytical insights
 
 .
 </li>
 </ul>
 
 Analytics &amp; Reporting
 
 <ul>
 <li>
 Design and develop
 
 dashboards and reports
 
 to support business decisions.
 </li>
 <li>
 Validate that analytical outputs accurately answer business needs.
 </li>
 </ul>
 
 Data Analysis
 
 <ul>
 <li>
 Analyze business data to identify patterns, trends, and opportunities.
 </li>
 <li>
 Support teams in using data to improve customer experience and operational performance.
 </li>
 </ul>
 
 Stakeholder Engagement
 
 <ul>
 <li>
 Lead analytical initiatives and influence stakeholders with data insights.
 </li>
 <li>
 Ensure effective communication between business teams and technical teams.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , proactive, and results-driven
 </li>
 <li>
 A
 
 team player
 
 who enjoys collaboration and learning
 </li>
 <li>
 A
 
 problem solver
 
 who approaches challenges with analytical thinking
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering valuable insights
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding data quality and compliance
 </li>
 <li>
 Adaptable and eager to grow in a
 
 fast-paced fintech environment
 
 </li>
 </ul>
 
 Qualifications
 
 
 Technical Skills
 
 <ul>
 <li>
 Strong knowledge of
 
 SQL
 
 </li>
 <li>
 Good understanding of
 
 data modeling concepts
 
 </li>
 <li>
 Knowledge of
 
 business intelligence tools
 
 is a plus
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong
 
 verbal and written communication skills
 
 </li>
 <li>
 Experience with
 
 requirements gathering and documentation
 
 </li>
 <li>
 Basic leadership or initiative-taking capabilities
 </li>
 </ul>
 
 Domain Knowledge
 
 <ul>
 <li>
 Knowledge of
 
 banking or financial services
 
 is a plus
 </li>
 <li>
 Experience working in
 
 regulated environments or PCI/DSS compliance
 
 is advantageous
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience in data analysis, business analysis, or system analysis
 
 </li>
 <li>
 At least
 
 1 year of experience in fintech or regulated environments
 
 is preferred
 </li>
 </ul>
</div>

Business Data Analyst

Explore 540+ Data analytics analyst in Cairo this May. Find roles across top companies and apply now to boost your career.

540 data analytics analyst jobs In Cairo

Data Analyst

Data Analyst

Data Analyst - Temenos

Data analyst

Data Analyst, AMET Central Data Analytics team

Data Analyst (Financial Analytics)

Business Data Analyst