data analyst

business analyst

data scientist

senior financial analyst

ai/ml engineer

data analytics analyst

dubizzle Egypt

<div>
 Dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet.
 
 
 As part of Dubizzle Group, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 
 
 As a Data Analyst, you will be in a central position as you will be evangelising data and our methodologies to other functional analysts and other stakeholders in the company. You will have close interaction with teams in marketing, sales, finance, and product. You will work in a fast-paced environment that is professional, international and entrepreneurial.
 
 
 
 In this role, you will:
 
 
 
 <ul>
 <li>
 Lead the business intelligence unit;
 </li>
 <li>
 Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools;
 </li>
 <li>
 Design and develop BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas;
 </li>
 <li>
 Help with defining KPIs metrics and drive the data governance through standardisation and communication;
 </li>
 <li>
 Create the documentation and presentation for the management;
 </li>
 <li>
 Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements;
 </li>
 <li>
 Adept at queries, report writing and presenting findings;
 </li>
 <li>
 Research and validation of entity data using appropriate internal and external data sources;
 </li>
 <li>
 Liaise and analyse projects within the Reference Data environment;
 </li>
 <li>
 Analyse, specify, test and implement interfaces, workflow solutions, and reference data solutions - An example would be regression testing systems ahead of upgrades;
 </li>
 <li>
 Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies;
 </li>
 <li>
 Responsible for data quality and timely delivery of reports that make common business sense;
 </li>
 <li>
 Participate in Analytics &amp; Reporting trainings to evangelise data across the organisation;
 </li>
 <li>
 Be able to work autonomously without supervision
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in statistics, mathematics, computer science, or related field;
 </li>
 <li>
 Master's degree is a plus
 </li>
 <li>
 2+ years of work experience in analytics, having closely worked with products and commercials in an internet/e-commerce company;
 </li>
 <li>
 Experience in e-commerce, internet and/or digital media
 </li>
 <li>
 Extensive experience with SQL;
 </li>
 <li>
 Proficient in Microsoft Excel;
 </li>
 <li>
 Experience working with BI tools (e.g. Looker, Periscope, Tableau, etc.);
 </li>
 <li>
 Skills in Python, R or similar tools are a big plus;
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc)
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A fast paced, high performing team
 </li>
 <li>
 Comprehensive Health Insurance
 </li>
 <li>
 Life Insurance
 </li>
 <li>
 Rewards &amp; Recognitions
 </li>
 <li>
 Learning &amp; Development opportunities
 
 
 
 </li>
 </ul>
 #Egyptdubizzle
</div>

Data Analyst

noon

<div>
 
 
 Who are we?
 
 
 
 
 
 
 noon, the region's leading consumer commerce platform. On December 12th, 2017, Noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now includes marketplaces for food delivery, quick-commerce, fintech, and fashion. Noon is a work in progress; we&rsquo;re six years in, but only 5% done. Noon&rsquo;s mission: every door, every day.
 
 
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 
 
 
 <ul>
 <li>
 Hands-on experience in SQL/BigQuery + any programming language, Python is preferred but not mandatory
 </li>
 <li>
 Excellent analytical skills and problem-solving capabilities
 </li>
 <li>
 Advanced Excel/Google Sheets knowledge
 </li>
 <li>
 Experience in the e-commerce industry is preferred but not mandatory
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Work within a cross-functional team that develops products as part of one of our businesses
 </li>
 <li>
 Design and build batch (and occasionally real-time) data pipelines and models for product, analytics, and reporting purposes
 </li>
 <li>
 Monitor data quality and integrity, designing and developing checks to ensure accuracy and consistency
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, and opportunities for optimization
 </li>
 <li>
 Assist in developing dashboards and visualizations to expose data to users and stakeholders effectively
 </li>
 <li>
 Occasionally develop and optimize ML models to support product goals, as well as deploy and operate such models in production
 </li>
 <li>
 Occasionally support ad-hoc data requests and reporting for business stakeholders
 </li>
 <li>
 Core technologies: Python, SQL, Google Bigquery, Clickhouse
 </li>
 </ul>
 
 
 
 
 
 Who will excel?
 
 
 
 
 
 
 &lsquo;noon isn&rsquo;t for everyone. And that&rsquo;s okay.&rsquo; This is one of our core operating principles.
 
 
 
 
 
 We're looking for resourceful doers. Thinkers who are both creative and analytical. Problem solvers who are enthusiastic about delivering results. Our ideal candidate will be comfortable in a fast-paced, multi-tasked, high-energy and often ambiguous environment.
 
 
 
 
 
 If the above values resonate with you, then noon might be the place for you.
 
</div>

Data & Analytics Engineer

Trella

<div>
 
 About Us
 
 
 
 Ready to change the world? We&rsquo;re reinventing freight and logistics at Trella. Backed by a number of leading VC companies (YC, Maersk Growth, Algebra Ventures and Raed Ventures) and we're looking for the best talent out there to help us build and scale our product offering. We aspire to create a step-change in the industry and we want you to be a part of the journey!
 
 
 We are innovative problem-solvers on this adventure together. Working at Trella means that you&rsquo;ll be surrounded by colleagues who are constantly pushing boundaries, thinking ahead, and meeting the high standards we set for ourselves. When we build, we do so in a product-led way: we value our customer experience and scalability, and we prioritize how we build our product accordingly.
 
 
 
 Our Purpose
 
 
 
 At Trella our Vision is to
 
 Empower our Communities to move Economies Forward
 
 , and we're doing this by building a digital experience that provides our Shippers, Carriers and Teams with the right technology and platform that reduces the costs of moving goods &mdash;&gt; Simply, we're trying to
 
 disrupt
 
 and
 
 reinvent
 
 trucking, and
 
 empower
 
 our economies. We have launched from Egypt to Saudi Arabia, Pakistan and UAE, and are looking to build and expand our footprint across the MENA-P region.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Cross-functional Collaboration: Build and maintain strong relationships with internal and cross functional stakeholders, fostering alignment across teams to drive strategic initiatives and ensure seamless execution of business objectives.
 </li>
 <li>
 Performance Tracking and Reporting: Establish and track the company&rsquo;s key metrics (through setting up dashboards and reports) to monitor and ensure the strategy&rsquo;s success.
 </li>
 <li>
 Problem-Solving: Conduct deep-dive analyses to uncover root causes of key problems and develop structured and actionable solutions through the generated data-driven insights.
 </li>
 <li>
 Business Analysis: Gather and analyze key data, translating insights into actionable recommendations that drive strategic decision-making.
 
 
 </li>
 </ul>
 
 What You'll Need:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business Intelligence, Statistics, or a related field.
 </li>
 <li>
 &NoBreak; &NoBreak;2 to 3 years of experience in a data analysis role, preferably in a product-focused environment.
 </li>
 <li>
 &NoBreak; &NoBreak;Strong proficiency and experience in SQL including the ability to extract, clean and manipulate data.
 </li>
 <li>
 &NoBreak; &NoBreak;Experience with Python or R for data analysis.
 </li>
 <li>
 &NoBreak; &NoBreak;Solid understanding of statistical analysis and A/B testing methodologies.
 </li>
 <li>
 &NoBreak; &NoBreak;Excellent communication skills with the ability to translate complex data into actionable insights.
 </li>
 <li>
 &NoBreak; &NoBreak;Strong problem-solving skills and attention to detail.
 </li>
 <li>
 &NoBreak; &NoBreak;Experience working in a fast-paced, dynamic environment.
 
 
 </li>
 </ul>
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Annual performance review.
 </li>
 <li>
 Hybrid work model with flexible working hours.
 </li>
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 Enjoy a flexible leave policy that supports your work-life balance and personal needs.
 </li>
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 Development opportunities in a rapidly growing multinational company.
 </li>
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 Benefit from our early payday option, allowing you to access your earnings sooner helping you manage expenses and financial planning with greater ease.
 </li>
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 Supporting our colleagues to build and grow themselves through Learning &amp; Development initiatives.
 </li>
 <li>
 Getting invaluable experience by joining the Forbes Middle East's top 50 most funded start-ups in MENA.
 </li>
 </ul>
</div>

Al Ahly Momkn

<div>
 A subsidiary of Al Ahly Capital, Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure, convenient &amp; seamless payment solutions and financial services for business owners, service providers and consumers across Egypt.
 
 
 At Al Ahly Momkn, we foster a culture of innovation, collaboration, and personal growth.
 
 
 
 We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team, you'll have the opportunity to work on exciting projects, learn from industry experts, and be part of a supportive and inclusive community.
 
 
 
 <ul>
 <li>
 Maintain and update financial data in the company's databases to ensure the accuracy, reliability, and timeliness of financial information
 
 </li>
 <li>
 Generate daily and ad-hoc reports to provide insights to the finance department.
 
 </li>
 <li>
 Develop and maintain dashboards to visualize key financial metrics.
 
 </li>
 <li>
 Ensure that ERP systems are properly integrated and functioning to provide accurate data across the organization.
 
 </li>
 <li>
 Use data analysis tools to validate and ensure the accuracy and consistency of financial data.
 
 </li>
 <li>
 Work closely with the finance team to understand data requirements and deliver actionable insights.
 
 </li>
 <li>
 Identify opportunities proactively to enhance data collection and reporting processes.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Finance, Accounting, Business Administration, or a related field.
 
 </li>
 <li>
 1-3 years of experience in data analysis or a related field.
 
 </li>
 <li>
 Experience with financial data and ERP systems is preferable.
 
 </li>
 <li>
 Proficiency in data analysis tools (e.g., Excel, SQL, Power BI).
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 Embark on an exciting journey with the Fin-Tech Experts.
 
 </li>
 <li>
 Join a workplace that actively encourages and supports all talents.
 
 </li>
 <li>
 A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self.
 
 </li>
 <li>
 Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
 
 </li>
 </ul>
</div>

IOM Qatar

<div>
 
 Job Description
 
 
 
 Project Context and Scope
 
 
 The Middle East and North Africa (MENA) region is one of the most dynamic migration corridors globally, serving as a point of origin, transit, and destination for millions of migrants. Despite the significance of migration in the region, challenges persist in the availability, quality, comparability, and use of migration data. This assessment, proposed by IOM MENA through its Regional Data Hub (RDH), aims to strengthen national and regional migration data systems by identifying gaps, assessing capacities, and informing a roadmap for improved data availability, harmonization, and use. The assessment will adopt a mixed-methods approach combining desk reviews, key informant interviews, surveys, and stakeholder consultations and will be conducted in coordination with IOM Country Offices, national statistical offices, and relevant ministries. Thematic areas include labor migration, forced displacement, diaspora, remittances, return migration, border management, human trafficking and smuggling, and migrant protection. The assessment will result in country-level data profiles, a regional synthesis report, a migration data roadmap, and policy briefs to support evidence-based policymaking and regional cooperation.
 
 
 Organizational Department / Unit to which the Consultant is contributing
 
 
 Regional Data Hub (RDH), IOM MENA Regional Office, Project: (CCMD, RMGP), Strategic alignment: IOM Strategic Vision 2019&ndash;2023, Migration Data Strategy 2020&ndash;2025, and MENA Regional Strategy.
</div>

Data Analyst Consultant

Homzmart

<div>
 
 Company Description
 
 
 
 
 Homzmart
 
 is an end to end community that connects home professionals with homeowners who can browse home designs, furniture, accessories and products and also can find reviews, referring professionals, take advice from professionals and read articles about home improvement.
 
 
 
 Job Description
 
 
 
 We&rsquo;re looking for a highly analytical and detail-oriented Data Analyst to join our team. In this role, you&rsquo;ll be responsible for tracking and reporting KPIs, building dashboards, and supporting data-driven decisions across the business. You&rsquo;ll work closely with stakeholders to understand business requirements and translate them into actionable insights.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop, maintain, and automate reports to monitor performance across departments.
 </li>
 <li>
 Track key business metrics and KPIs, ensuring accuracy and consistency.
 </li>
 <li>
 Translate complex data into clear, actionable insights through dashboards and visualizations.
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements and define data needs.
 </li>
 <li>
 Perform data cleaning, validation, and analysis using statistical methods.
 </li>
 <li>
 Support ad hoc analysis and business cases as needed.
 
 
 </li>
 </ul>
 Qualifications
 
 
 <ul>
 <li>
 Proven experience as a Data Analyst or similar role.
 </li>
 <li>
 Strong skills in Excel, data visualization (e.g., Power BI, Tableau, or similar).
 </li>
 <li>
 Experience working with large datasets, data cleaning, and preparation.
 </li>
 <li>
 Solid understanding of analytics, statistics, and performance tracking.
 </li>
 <li>
 Excellent stakeholder management and communication skills.
 </li>
 <li>
 Experience with Python or other analytical tools is a strong plus.
 </li>
 <li>
 Experience in e-commerce or supply chain, or fast-paced, data-driven environments.
 </li>
 <li>
 Knowledge of A/B testing, forecasting, or predictive analytics.
 </li>
 </ul>
</div>

Data Analyst - Supply Chain

SSC HR Solutions

<div>
 <ul>
 <li>
 Determine patterns and analyse customer behaviour to address business problems and generate actionable insights
 </li>
 <li>
 Assess the performance of different marketing activities (e.g. campaigns, product launch...etc) and their impact on the customers
 </li>
 <li>
 Gather, validate, and explore data in order to find hidden insights and patterns
 </li>
 <li>
 Analyse information from multiple data sources and business stakeholders to identify actionable insights
 </li>
 <li>
 Identify opportunities to drive customer value, through different customer behaviour analysis techniques
 </li>
 <li>
 Review customer data for trends, patterns, and causal analysis to assist in understanding customer behaviour
 </li>
 <li>
 Execute advanced analytics techniques to translate large and complex datasets into concise easy-to-use insights
 </li>
 <li>
 Collaborate with Business and Data Engineering teams to solve business problems and identify opportunities for building ready for use data products
 </li>
 <li>
 Assist in the communication of results, insights and data-driven recommendations to stakeholders and executive leadership
 
 
 </li>
 </ul>
 Policies, Processes and Procedures
 
 
 <ul>
 <li>
 Follow all relevant department policies, processes, standard operating procedures and instructions so that operations are carried out in a controlled and consistent manner
 
 
 </li>
 </ul>
 Day-to-day Operations
 
 
 <ul>
 <li>
 Follow the day-to-day operations related to own job in the department to ensure business continuity
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's Degree with strong academic performance in a quantitative field (Computer Science, Statistics/Mathematics, Actuarial Science, Operations Research, Industrial Engineering...etc.)
 </li>
 <li>
 Master's Degree in a quantitative or business field is a plus
 </li>
 <li>
 Analyst: Experience of at least 2 - 4 years
 </li>
 <li>
 Experience in advanced analytics or customer insights related jobs is a plus
 </li>
 <li>
 Experience in banking industry would be a plus
 </li>
 <li>
 Excellent verbal, written communication and presentation skills
 </li>
 <li>
 Excellent Microsoft Excel skills
 </li>
 <li>
 Highly motivated team player with strong presentation skills
 </li>
 <li>
 Good knowledge of SQL/R/Python programming
 </li>
 <li>
 Ability to present complex information in simple terms with clear recommendations
 </li>
 <li>
 Strong quantitative analytical capabilities combined with experience in dealing with large and/or complex data 
 </li>
 <li>
 Outstanding data interpretation skills and attention to detail
 </li>
 <li>
 Ability to work in a fast-paced environment, adapt easily to changing situations and demonstrates flexibility in juggling priorities
 </li>
 <li>
 Problem solver with a can-do attitude
 </li>
 <li>
 Knowledge of visualization tools (Tableau, etc...) is a plus
 </li>
 </ul>
</div>

Customer Insights Analyst (Banking)

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Customer Insights Analyst (Banking)