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MADKOUR

<div>
 
 🔹 Job Summary:
 
 
 We are seeking a detail-oriented and analytical Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large sets of data to provide insights that support key business decisions. The ideal candidate is skilled in data visualization, reporting, and translating complex information into clear, actionable recommendations.
 
 
 
 
 
 🔹 Key Responsibilities:
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to identify trends, patterns, and insights.
 </li>
 <li>
 Develop dashboards and visual reports using tools such as Power BI, or similar platforms.
 </li>
 <li>
 Prepare weekly and monthly reports to support business performance tracking.
 </li>
 <li>
 Work closely with cross-functional teams (Operations, Finance, Marketing, etc.) to understand data needs.
 </li>
 <li>
 Build automated data pipelines and improve existing reporting processes.
 </li>
 <li>
 Ensure data accuracy, consistency, and high-quality deliverables.
 </li>
 <li>
 Present findings to management in a clear and understandable manner.
 </li>
 </ul>
 
 
 
 
 🔹 Key Requirements:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration, or any other disciplines.
 </li>
 <li>
 2&ndash;5 years of experience in a Data Analyst or related analytical role.
 </li>
 <li>
 Strong knowledge of SQL and at least one data analysis tool (Python, R, or Excel advanced level).
 </li>
 <li>
 Experience with data visualization tools.
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Strong attention to detail and ability to work with large datasets.
 </li>
 <li>
 Good communication skills and ability to translate data into business insights.
 </li>
 </ul>
 
 
 
 
 If interested, please send your updated resume in a PDF format to: jobs@madkour.com.eg mentioning the job title in the e-mail subject.
 
</div>

Data 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>

Coptic Orphans

<div>
 
 Purpose of the Job
 
 
 
 The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.
 
 
 
 Essential Functions And Responsibilities
 
 
 
 <ul>
 <li>
 Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
 </li>
 <li>
 Lead the design, implementation, and deployment of predictive and prescriptive models.
 </li>
 <li>
 Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
 </li>
 <li>
 Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
 </li>
 <li>
 Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
 </li>
 <li>
 Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
 </li>
 <li>
 Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
 </li>
 <li>
 Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
 </li>
 <li>
 Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
 </li>
 <li>
 Provide guidance to junior analysts and contribute to building data literacy across teams.
 </li>
 <li>
 Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.
 
 
 </li>
 </ul>
 
 Required Education, Experience, Knowledge, And Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Information Systems Management or a related field.
 </li>
 <li>
 3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
 </li>
 <li>
 Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
 </li>
 <li>
 Demonstrated knowledge of ETL frameworks and data warehousing principles.
 </li>
 <li>
 Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
 </li>
 <li>
 Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
 </li>
 <li>
 Proven ability to design, implement, and deploy predictive and prescriptive models.
 </li>
 <li>
 Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
 </li>
 <li>
 Strong experience with data visualization tools (Power BI, Tableau, or similar).
 </li>
 <li>
 Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
 </li>
 <li>
 Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
 </li>
 <li>
 Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
 </li>
 <li>
 Excellent written and verbal communication skills, with confidence in presenting to directors &amp; managers.
 </li>
 <li>
 Ability to translate complex data into clear, actionable insights for diverse audiences.
 </li>
 <li>
 Collaborative mindset and willingness to share knowledge with team members.
 </li>
 <li>
 Proficient in both written and spoken English.
 </li>
 <li>
 Exceptional analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-quality work independently.
 
 
 </li>
 </ul>
 
 Travel And Working Requirements
 
 
 
 <ul>
 <li>
 Limited to a typical office environment, such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
 </li>
 <li>
 Occasional national or international travel may be required.
 </li>
 <li>
 Working out of the official hours and on weekends may be required.
 
 
 </li>
 </ul>
 
 
 Job Posted by ApplicantPro
 
 
</div>

Senior 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

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.&nbsp;
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 Position Summary:
 
 
 <ul>
 <li>
 Within the Strategy &amp; Analytics team, Property Finder is&nbsp;is seeking a Business Analytics Associate who will collaborate with various departments to establish a top-tier analytical environment for our organization.
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build Visual reporting tools that will engage our partners in a way that makes our data easy to digest and understand whilst giving actionable insights for them.
 </li>
 <li>
 Responsible for high-priority data requests &amp; reporting within the Central Functions (e.g. Business Performance, Strategy &amp; Transformation, Commercial Finance, HR).
 </li>
 <li>
 Partnering&nbsp;with the Data Engineering team in our journey to establish an exceptional self-service analytics environment.
 </li>
 <li>
 Partnering with the Business Performance Team to maintain &amp; produce essential recurring business performance reports on a daily, weekly, and monthly basis.
 </li>
 <li>
 Maintaining vigilance over data quality to ensure accuracy and reliability, serving as the primary source of truth..
 </li>
 </ul>
 
 &nbsp;
 
 
 Desired Qualifications:
 
 <ul>
 <li>
 2+ years of experience working as analyst in Business Analytics in a reputable tech company or a top tier management consulting company.
 </li>
 <li>
 Exceptional SQL and a Business Intelligence tool (e.g. Tableau, Quicksight, Click, Power BI etc.) knowledge
 </li>
 <li>
 Exceptional analytical and quantitative problem-solving skills
 </li>
 <li>
 Strong written and verbal communication skills with experience in presenting technical content to audiences
 </li>
 <li>
 Fluency in English
 </li>
 </ul>
 
 Other Capabilities:
 
 <ul>
 <li>
 Can do attitude (We get things done, no excuses)
 </li>
 <li>
 A dynamic, focused and self-motivated person with ability to manage multiple tasks simultaneously
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Our promise to talent
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 Property Finder Guiding Principles
 
 
 <ol>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ol>
 &nbsp;
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
 
 &nbsp;
 
</div>

Business Analytics Analyst

PepsiCo

<div>
 
 
 Overview
 
 
 
 PepsiCo&rsquo;s Strategy &amp; Transformation (S&amp;T) organization has been established to drive PepsiCo&rsquo;s Digital Transformation and critical strategic initiatives globally, for all sectors and functions.
 
 
 
 
 This role is responsible to support EMEA BU (MAKE &amp; MOVE Analytics support) agenda, KPI tracking reports and extracting key data into suitable format to enable the Sector Service team to manage performance and aggregate performance from BU level driving insight at cross BU level. Key responsibility is maintaining a standard reporting and comms methodology with partner stakeholders.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Act as Lead and interface to sector and BU teams, managing and governing current and future programs.
 </li>
 <li>
 Interact with across EMEA to collate and represent Productivity &amp; performance KPI's data in a meaning way. Initially these will be standard reports adopted from BU but with future aspiration to utilize automation, workflows and Bi tools to reduce administrative workloads and automate the activities.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Excellent communication and interpersonal skills
 </li>
 <li>
 Business Savvy and professional approach
 </li>
 <li>
 Prior experience in Supply Chain domain related to Manufacturing industry
 </li>
 <li>
 Power BI experience or another visualization tool as Tableau or similar
 </li>
 <li>
 Proficiency in Excel
 </li>
 <li>
 At least 3 years of experience as BI &amp; Reporting Analyst
 </li>
 </ul>
 
 
</div>

BI & Reporting Analyst

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda&rsquo;s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
 
 
 
 The Opportunity:
 
 
 
 As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
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 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>

Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)

Explore 364+ Data analyst in Cairo this May. Find roles across top companies and apply now to boost your career.

364 data analyst jobs In Cairo

Data Analyst

Data Analyst

Senior Data Analyst

Data Analyst, AMET Central Data Analytics team

Business Analytics Analyst

BI & Reporting Analyst

Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)