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Tabby | تابي

<div>
 
 
 Department:
 
 Collection
 
 
 
 Location:
 
 Egypt
 
 
 
 
 Description
 
 
 
 Job Summary - We are looking for a Senior Data Analyst with exceptional analytical skills and a proven ability to work with large, complex datasets. The ideal candidate is a SQL superstar who can extract, transform, and analyze data efficiently, while also building reports and dashboards that guide critical business decisions. This role is perfect for someone who thrives in fast-paced environments, loves solving problems with data, and can translate insights into actionable recommendations.
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Data Analysis &amp; RCA
 
 : Perform deep analysis on business datasets to identify trends, patterns, and anomalies. Translate raw data into clear, actionable insights for stakeholders.
 
 </li>
 </ul>
 <ul>
 <li>
 
 SQL &amp; Data Extraction
 
 : Write highly optimized SQL queries for data extraction and manipulation. Ensure query performance is efficient even with large datasets. Act as the go-to expert in SQL best practices within the team.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Reporting &amp; Visualization
 
 : Build and maintain automated dashboards and reports to track business KPIs. Use tools like Tableau, Power BI, or Looker for data visualization. Create ad-hoc reports to answer urgent business questions.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Data Quality &amp; Management
 
 : Ensure accuracy, consistency, and reliability of data used for analysis. Collaborate with data engineering teams to maintain robust data pipelines. Proactively identify and resolve data quality issues.
 
 </li>
 </ul>
 <ul>
 <li>
 
 Stakeholder Communication
 
 : Present findings in a clear and concise manner to both technical and non-technical audiences. Support senior management with data-driven decision-making. Partner with business, operations, risk, finance, product teams to support problem solving and decision-making.
 
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
 </li>
 <li>
 Minimum 3&ndash;5 years of experience in data analytics in data analytics or business intelligence.
 </li>
 <li>
 Strong SQL skills for analysis and reporting.
 </li>
 <li>
 Hands-on experience with at least one visualization tool is a plus (Tableau, Power BI, Looker).
 </li>
 <li>
 Excellent problem-solving skills and a structured, analytical mindset.
 </li>
 <li>
 Experience in fintech, lending, collections, risk, or consumer finance is a plus.
 
 </li>
 </ul>
</div>

Senior Data Analyst

<div>
 
 
 We're Hiring: AI &amp; Automation Analyst
 
 
 
 We are looking for an
 
 AI &amp; Automation Analyst
 
 to join our team. This is an exciting opportunity for professionals with a passion for Artificial Intelligence, Machine Learning, and Automation to contribute to innovative solutions that enhance business processes and drive digital transformation.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze business needs and identify opportunities for AI and automation.
 </li>
 <li>
 Design, develop, and implement AI solutions and automated workflows.
 </li>
 <li>
 Build and deploy machine learning models and automation scripts.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver business-driven technology solutions.
 </li>
 <li>
 Prepare, analyze, and manage data to support AI initiatives.
 </li>
 <li>
 Monitor, test, and continuously improve AI and automation solutions.
 </li>
 <li>
 Ensure compliance with data privacy and security standards.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 1&ndash;3 years of experience in AI technologies, Machine Learning, and Automation.
 </li>
 <li>
 Proficiency in Python, R, or Java.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience with automation tools and integrating AI solutions into business processes.
 </li>
 <li>
 Certifications in AI, Machine Learning, RPA, or PMP are considered an advantage.
 </li>
 <li>
 Experience within the FMCG industry is a plus.
 </li>
 </ul>
 
 
 
</div>

AI and Automation Analyst

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Advanced Financial Analytics &amp; Risk Mitigation
 
 
 
 <ul>
 <li>
 Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
 </li>
 <li>
 Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
 </li>
 <li>
 Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
 </li>
 <li>
 Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
 
 
 </li>
 </ul>
 
 Strategic Reporting &amp; Digital Transformation
 
 
 
 <ul>
 <li>
 Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
 </li>
 <li>
 Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
 </li>
 <li>
 Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
 </li>
 <li>
 Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
 
 
 </li>
 </ul>
 
 Cross-Functional Leadership &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
 </li>
 <li>
 Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
 </li>
 <li>
 Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
 </li>
 <li>
 Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
 </li>
 <li>
 Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
 </li>
 <li>
 Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
 </li>
 <li>
 Deep knowledge of data privacy laws.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
 </li>
 <li>
 Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
 </li>
 <li>
 A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
 </li>
 <li>
 High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
 </li>
 <li>
 High level of professionalism, ethical conduct, and integrity.
 </li>
 </ul>
</div>

Sr Client Data Analyst

<div>
 
 
 Teleperformance is Hiring: WFM Analyst L2
 
 
 
 Are you passionate about workforce planning, data analysis, and process improvement? Join Teleperformance and help drive operational excellence through workforce optimization and innovation.
 
 
 
 What You'll Do:
 
 
 
 &bull; Analyze workforce data and identify trends to improve efficiency
 
 
 &bull; Develop recommendations to optimize workforce planning and resource utilization
 
 
 &bull; Collaborate with Operations, HR, and IT teams to implement WFM strategies
 
 
 &bull; Drive automation, standardization, and continuous process improvement
 
 
 &bull; Support and train teams on WFM tools and best practices
 
 
 &bull; Monitor performance and contribute to business improvement initiatives
 
 
 &bull; Ensure compliance with company policies and information security standards
 
 
 
 What We're Looking For:
 
 
 
 
 &bull; 2&ndash;5 years of experience in Workforce Management, project management, or process improvement in BPO Industry
 
 
 
 &bull; Bachelor's degree
 
 
 
 &bull; English level: B2 or above
 
 
 
 
 &bull; Hands-on experience working with Alvaria and/or Aspect WFM tools
 
 
 
 &bull; Strong analytical and problem-solving skills
 
 
 &bull; Proficiency in Microsoft Excel, Word, and Outlook
 
 
 &bull; Experience with SQL, BI tools, or Workforce Management software is a plus
 
 
 &bull; Excellent communication and stakeholder management skills
 
 
 &bull; Ability to work in a fast-paced, data-driven environment
 
 
 
 What We Offer:
 
 
 
 &bull; Competitive salary package
 
 
 &bull; Medical and social insurance
 
 
 &bull; Transportation provided
 
 
 &bull; Career growth and development opportunities
 
 
 &bull; Dynamic international work environment
 
 
 
</div>

Workforce Management Analyst

Datamatics Technologies

<div>
 Job Description: AI Product &amp; Business Translation Lead
 
 
 Job Title:
 
 AI Product &amp; Business Translation Lead
 
 
 Experience:
 
 9&ndash;12+ Years
 
 
 Location:&nbsp;
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking an experienced
 
 AI Product &amp; Business Translation Lead
 
 with
 
 9&ndash;12+ years of experience
 
 to bridge the gap between business objectives, product strategy, and artificial intelligence capabilities. The ideal candidate will have strong expertise in defining AI use cases, developing AI-driven product strategies, engaging executive stakeholders, and driving successful adoption of AI solutions across organizations.
 
 
 This role requires a strong understanding of business transformation, AI capabilities, product lifecycle management, and the ability to translate complex AI concepts into measurable business outcomes.
 
 Key Responsibilities
 <ul>
 <li>
 Define and prioritize AI use cases aligned with business objectives and strategic goals
 </li>
 <li>
 Develop AI product strategies, roadmaps, and adoption frameworks
 </li>
 <li>
 Collaborate with business leaders, product teams, data scientists, and engineering teams to identify AI opportunities
 </li>
 <li>
 Translate business requirements into actionable AI solutions and product initiatives
 </li>
 <li>
 Evaluate AI opportunities based on business value, feasibility, scalability, and impact
 </li>
 <li>
 Drive stakeholder engagement across business and technology teams
 </li>
 <li>
 Support AI adoption initiatives by creating awareness, enablement plans, and change management strategies
 </li>
 <li>
 Define success metrics and KPIs for AI product initiatives
 </li>
 <li>
 Facilitate communication between technical teams and business stakeholders
 </li>
 <li>
 Support governance, prioritization, and lifecycle management of AI solutions
 </li>
 <li>
 Identify industry trends and emerging AI capabilities to recommend strategic opportunities
 </li>
 </ul>
 Required Technical &amp; Business SkillsAI Use Case Strategy
 <ul>
 <li>
 Strong experience in
 
 AI use case definition
 
 and identification of business opportunities for AI adoption
 </li>
 <li>
 Ability to evaluate AI feasibility, business impact, and implementation roadmap
 </li>
 <li>
 Experience translating AI capabilities into practical business solutions
 </li>
 </ul>
 Product Strategy &amp; Management
 <ul>
 <li>
 Strong experience in
 
 AI product strategy
 
 and roadmap development
 </li>
 <li>
 Experience defining product vision, priorities, success metrics, and adoption strategies
 </li>
 <li>
 Understanding of product lifecycle management and digital transformation initiatives
 </li>
 </ul>
 Stakeholder Engagement
 <ul>
 <li>
 Proven experience managing
 
 stakeholder engagement
 
 across business, technology, and executive teams
 </li>
 <li>
 Ability to communicate complex AI concepts to technical and non-technical audiences
 </li>
 <li>
 Experience facilitating workshops, discovery sessions, and executive discussions
 </li>
 </ul>
 AI Adoption &amp; Change Enablement
 <ul>
 <li>
 Experience driving
 
 AI adoption
 
 across organizations
 </li>
 <li>
 Ability to develop adoption frameworks, training strategies, and business enablement plans
 </li>
 <li>
 Understanding of organizational change management principles
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field
 </li>
 <li>
 
 9&ndash;12+ years
 
 of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles
 </li>
 <li>
 Strong understanding of AI/ML concepts and enterprise AI adoption challenges
 </li>
 <li>
 Excellent leadership, communication, and stakeholder management skills
 </li>
 <li>
 Proven ability to manage cross-functional initiatives and deliver business outcomes
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products
 </li>
 <li>
 Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services
 </li>
 <li>
 Experience in enterprise transformation programs and innovation initiatives
 </li>
 <li>
 Familiarity with AI governance, responsible AI practices, and risk management
 </li>
 <li>
 Experience working in Agile product development environments
 </li>
 </ul>
 Key Capability Areas
 <ul>
 <li>
 
 AI Strategy:
 
 AI Use Case Definition
 
 and
 
 AI Opportunity Assessment
 
 and
 
 Business Value Mapping
 </li>
 <li>
 
 Product Management:
 
 Product Strategy
 
 and
 
 AI Roadmap Development
 
 and
 
 Adoption Planning
 </li>
 <li>
 
 Stakeholder Management:
 
 Executive Engagement
 
 and
 
 Cross-functional Collaboration
 
 and
 
 Business-Technology Alignment
 </li>
 <li>
 
 AI Adoption:
 
 Change Enablement
 
 and
 
 User Adoption Strategy
 
 and
 
 AI Transformation Initiatives
 </li>
 <li>
 
 Business Translation:
 
 Translating AI Capabilities
 
 and
 
 Driving Measurable Business Outcomes
 
 and
 
 Strategic Decision Support
 </li>
 </ul>
</div>

AI Product & Business Translation Lead

<div>
 Job Description: Data Science &amp; Analytics Engineer
 
 
 Job Title:
 
 Data Science &amp; Analytics Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are looking for a talented
 
 Data Science &amp; Analytics Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, and deploy predictive and analytical models to solve business problems
 </li>
 <li>
 Perform data exploration, statistical analysis, feature engineering, and model evaluation
 </li>
 <li>
 Build interactive dashboards, reports, and visualizations for business stakeholders
 </li>
 <li>
 Develop scalable data analytics solutions using modern cloud and big data platforms
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
 </li>
 <li>
 Analyze structured and unstructured datasets to identify trends, patterns, and opportunities
 </li>
 <li>
 Ensure data quality, governance, and best practices across analytics initiatives
 </li>
 <li>
 Present analytical findings and recommendations to technical and non-technical audiences
 </li>
 <li>
 Continuously improve analytics processes, reporting capabilities, and model performance
 </li>
 </ul>
 Required Technical SkillsProgramming &amp; Data Science
 <ul>
 <li>
 Strong proficiency in
 
 Python or R
 
 for data analysis, statistical modeling, and machine learning
 </li>
 <li>
 Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics
 </li>
 </ul>
 Data Science Platforms
 <ul>
 <li>
 Hands-on experience with
 
 Databricks or Dataiku
 
 for data science, machine learning, and collaborative analytics
 </li>
 <li>
 Experience developing end-to-end analytical workflows and model deployment
 </li>
 </ul>
 Business Intelligence &amp; Visualization
 <ul>
 <li>
 Strong experience with
 
 Power BI or Tableau or Looker
 
 for dashboard development and data visualization
 </li>
 <li>
 Ability to create interactive reports and executive-level dashboards
 </li>
 </ul>
 Data Warehousing &amp; Analytics
 <ul>
 <li>
 Experience with
 
 BigQuery or Snowflake
 
 for large-scale analytics and data warehousing
 </li>
 <li>
 Strong understanding of SQL, data modeling, and analytical query optimization
 </li>
 </ul>
 Analytics &amp; Machine Learning
 <ul>
 <li>
 Experience with statistical analysis, forecasting, classification, clustering, and regression models
 </li>
 <li>
 Familiarity with machine learning libraries and model evaluation techniques
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in Data Science, Business Analytics, or Advanced Analytics
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience working in Agile/Scrum environments
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform
 </li>
 <li>
 Knowledge of MLOps, model deployment, and AI-driven analytics
 </li>
 <li>
 Experience with ETL/ELT processes and data engineering concepts
 </li>
 <li>
 Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage
 </li>
 <li>
 Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Programming Languages:
 
 
 Python or R
 
 </li>
 <li>
 
 Data Science Platforms:
 
 
 Databricks or Dataiku
 
 </li>
 <li>
 
 Business Intelligence:
 
 
 Power BI or Tableau or Looker
 
 </li>
 <li>
 
 Data Warehouse:
 
 
 BigQuery or Snowflake
 
 </li>
 <li>
 
 Analytics:
 
 Statistical Analysis
 
 and
 
 Predictive Modeling
 
 and
 
 Machine Learning
 
 and
 
 Data Visualization
 </li>
 <li>
 
 Cloud Platforms:
 
 
 AWS or Microsoft Azure or Google Cloud Platform
 
 (Preferred)
 </li>
 </ul>
</div>

Data Science & Analytics Engineer

the Fini Company ES

<div>
 
 At The Fini Company, we are committed to attracting top talent!
 
 
 
 Do you have experience managing international business through distributors and developing markets in dynamic, multicultural environments? Are you motivated by driving commercial growth, making a direct impact on business results, and being part of a fast-growing international company where your leadership truly makes a difference?
 
 
 If this sounds like you&hellip;
 
 we&rsquo;re looking forward to meeting you!
 
 
 
 We are looking for a
 
 Regional Business Manager &ndash; Egypt &amp; North Africa
 
 to join The Fini Company in a high-impact role with strong visibility and direct exposure to senior leadership.
 
 
 You will lead the development of our business across Egypt and selected North African markets, driving growth through distributor management and ensuring strong in-market execution. From shaping market strategies to delivering results, you will play a key role in accelerating our expansion in the region.
 
 
 If you&rsquo;re passionate about building markets, driving performance, and making a real impact in an international environment&hellip; this is your opportunity.
 
 
 
 Main Responsibilities
 
 
 
 <ul>
 <li>
 Commercial strategy execution and business development
 </li>
 <li>
 Lead and execute Fini&rsquo;s commercial strategy across Egypt and North Africa through appointed distributors.
 </li>
 <li>
 Drive sales growth, profitability, market share, and distribution expansion in line with business objectives.
 </li>
 <li>
 Identify growth opportunities through market analysis, customer insights, and channel development.
 </li>
 <li>
 Ensure alignment between market activities and global/regional strategic priorities.
 </li>
 <li>
 Market performance and planning
 </li>
 <li>
 Deliver results across key KPIs, including sales, margins, distribution, and execution quality.
 </li>
 <li>
 Develop annual business plans, budgets, and forecasts for each market.
 </li>
 <li>
 Monitor performance, identify risks and opportunities, and define corrective action plans.
 </li>
 <li>
 Provide regular reporting and performance reviews to senior management.
 </li>
 <li>
 Distributor management and execution excellence
 </li>
 <li>
 Manage distributor performance end-to-end, ensuring compliance with agreed objectives and KPIs.
 </li>
 <li>
 Oversee forecasting accuracy, stock levels, and overall supply efficiency in the market.
 </li>
 <li>
 Drive excellence in in-store execution, visibility, and promotional activities.
 </li>
 <li>
 Build strong partnerships with distributors, ensuring alignment, accountability, and continuous improvement.
 </li>
 <li>
 Key account development and market execution
 </li>
 <li>
 Support the development of key accounts and strategic customers in the region.
 </li>
 <li>
 Partner with distributors to strengthen negotiation, execution, and customer relationships.
 </li>
 <li>
 Ensure effective implementation of trade marketing and promotional plans.
 </li>
 <li>
 Monitor competition, pricing, and market dynamics to ensure competitiveness.
 </li>
 <li>
 Stakeholder management and cross-functional coordination
 </li>
 <li>
 Collaborate with internal teams (Marketing, Supply Chain, Finance) to ensure alignment and execution consistency.
 </li>
 <li>
 Provide market intelligence and insights to support strategic decision-making.
 </li>
 <li>
 Act as the key point of contact for the region, ensuring clear communication and coordination.
 </li>
 <li>
 Coaching, capability building, and market intelligence
 </li>
 <li>
 Coach and support distributor teams to enhance capabilities and performance.
 </li>
 <li>
 Monitor market trends, competitor activity, and customer behavior.
 </li>
 <li>
 Drive a culture of accountability, performance orientation, and continuous improvement across the region.
 
 
 
 </li>
 </ul>
 Requirements:
 
 
 
 Education
 
 
 
 <ul>
 <li>
 University degree in Business Administration, Marketing, Economics, or related field.
 
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Minimum of 10 years of experience in FMCG sales.
 </li>
 <li>
 Strong experience in distributor management and multi-market commercial operations.
 </li>
 <li>
 Proven track record in delivering growth, managing key accounts, and driving execution excellence.
 </li>
 <li>
 Strong understanding of the Egyptian market and North African business environment.
 
 
 
 </li>
 </ul>
 
 Languages
 
 
 
 <ul>
 <li>
 Fluent in Arabic and English (mandatory).
 </li>
 <li>
 French is a plus.
 
 
 
 </li>
 </ul>
 
 Key Skills
 
 
 
 <ul>
 <li>
 Strong commercial and business acumen
 </li>
 <li>
 Results orientation and performance-driven mindset
 </li>
 <li>
 Strategic thinking with strong execution capabilities
 </li>
 <li>
 Leadership and influencing skills
 </li>
 <li>
 Analytical and decision-making skills
 </li>
 <li>
 Stakeholder management and cross-functional collaboration
 </li>
 <li>
 Negotiation and distributor management
 </li>
 <li>
 Proactivity, autonomy, and adaptability in dynamic environments
 </li>
 <li>
 Market awareness and customer orientation
 </li>
 </ul>
</div>

Regional Sales Manager: Egypt, Tunisia, Libya & Algeria

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