accountant – accounts receivable (junior)

data engineer

data scientist

senior data engineer

ai developer

ai& data engineer (hybrid)

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>

Data Analyst

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

<div>
 
 About The Role &amp; Team
 
 
 
 In this role, you will have the opportunity to work on several of
 
 IDC's vertical industry-focused Spending Guide data products, developing industry, company size, use case, and line of business forecasts across a broad range of technology markets
 
 . You will be responsible for conducting comprehensive industry sector research, mapping tech buyer use cases, analyzing data, and providing actionable insights to support our clients' business strategies. Having familiarity with or expertise in the overall ICT, software, and cloud technology markets in Middle East and Africa will be advantageous for this role.
 
 
 The ideal candidate has a proactive mindset, strong quantitative, data modelling, and analytical skills, as well as the ability to use automation tools to improve and streamline internal data processes. He or she should demonstrate the ability to interpret complex data, identify patterns, and draw meaningful insights by evaluating data from various sources, making sense of quantitative and qualitative information.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyze survey data and conduct secondary market research on selected industry sectors - financial services, manufacturing, telecommunications, energy, healthcare, and public sector - along with technology solutions and geography specific trends to build a deeper understanding of the key factors shaping overall markets and technology adoption patterns.
 </li>
 <li>
 Monitor key macroeconomic indicators such as GDP, inflation rates, unemployment rates, interest rates, and exchange rates and assessing its potential impact on various industry sectors. As well as assess the impact of fiscal and monetary policies on industry sectors and technology adoption trends.
 </li>
 <li>
 Ensure the timely and accurate delivery of all program deliverables.
 </li>
 <li>
 Prepare detailed reports and presentations to communicate findings to stakeholders.
 </li>
 <li>
 Develop industry sector forecasts and predictive models by utilizing statistical methods and tools to anticipate future trends of different verticals and tech buyer behavior.
 </li>
 <li>
 Maintain and update databases with relevant market data and research findings.
 </li>
 <li>
 Collaborate with cross-functional teams to develop customized Vertical and Segments and market models. Including the consulting team to support custom projects when required.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 2+ years of market research experience
 </li>
 <li>
 Bachelor's degree or equivalent experience in Economics or Statistics or STEM subjects (i.e., Science, Technology, Engineering, Mathematics) with a strong understanding of economic principles and their application to market analysis.
 </li>
 <li>
 Skilled in analyzing complex datasets and developing predictive models, with familiarity in statistical tools and methodologies.
 </li>
 <li>
 High level of accuracy and attention to detail in data analysis and report preparation.
 </li>
 <li>
 Strong English written and verbal communication skills to effectively present.
 </li>
 <li>
 Efficient in managing multiple research projects and meeting deadlines. Excellent in problem-solving.
 </li>
 <li>
 Advanced Microsoft Excel, PowerPoint and Power BI skills required.
 </li>
 <li>
 Familiarity with GenAI tools such as Microsoft Copilot, OpenAI, or Gemini.
 </li>
 <li>
 The ability to use Python for data analysis, including libraries such as Pandas, NumPy, SciPy and Plotly are advantageous.
 
 
 </li>
 </ul>
 
 Why This Role Stands Out
 
 
 
 At IDC, your work helps shape how the world understands technology and where it goes next. You collaborate with curious, high-caliber colleagues who value rigor, integrity, and shared success. As the premier global provider of trusted technology intelligence, IDC equips business and technology leaders with the evidence they need to make confident decisions. Our insights inform strategy, investment, and innovation across industries and regions.
 
 
 Recognized by IIAR as Analyst Firm of the Year for five consecutive years, IDC sets the standard for credibility and impact. With more than 1,000 analysts worldwide and a truly global perspective, we combine deep expertise with practical relevance. Here, your ideas matter, your voice is heard, and your contributions provide the insights leaders rely on every day. It is meaningful work, backed by a culture that supports growth, collaboration, and long-term career development with a globally respected brand.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 A permanent, full-time position with a hybrid working module
 </li>
 <li>
 A competitive benefit package with additional companywide days off (1 day in the summer and global shutdown from 24th Dec to 1st Jan 26)
 </li>
 <li>
 Individualized Culture: An environment where you can explore new areas outside your specialty and stay engaged with work you enjoy.
 </li>
 <li>
 A position in a highly professional and globally respected market research and advisory firm, where initiative leading to results is rewarded
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify.
 
 
</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

<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

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)

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

Explore 383+ Data analyst in Cairo this April. Find roles across top companies and apply now to boost your career.

383 data analyst jobs In Cairo

Data Analyst

Data analyst

Data Analyst

Data Analyst - Temenos

Business Data Analyst

Data Analyst (Financial Analytics)

Data Analyst, AMET Central Data Analytics team