senior data analyst

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Automation, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Cairo, Egypt.
 
 
 
 
 
 
 
 
 We are looking for a
 
 Product Analyst
 
 to join our Analytics Products Engineering team and support the evolution of
 
 RGM &amp; Finance products
 
 within a portfolio of core AI powered solutions across the Commercial and Finance streams.
 
 
 
 
 
 RGM &amp; Finance products are AI powered decision engines that transform complex commercial and financial data into actionable insights to drive profitable growth. The Promo Advanced Analytics Tool (PAAT) enables deep post event analysis to evaluate promotional effectiveness and ROI, while within the Revenue Growth Management stream, the OBPPC product supports commercial strategy and Pricing Copilot focuses on pricing optimization, enabling more responsive, data driven decisions aligned with market dynamics.
 
 
 
 
 
 In the Finance stream, AI powered analytics transform financial, tax related and contractual data into trusted insights. This includes solutions that support corporate audits through automated validation of CDE contracts, the Tax Management Fees tool that strengthens tax governance by simplifying and digitizing general management fees processes and supporting activities collection for general management fees process, and the Finance A&amp;I Channel Profitability Ecosystem, which integrates financial internal and external data into actionable plans&mdash;enabling disciplined, scalable execution across markets.
 
 
 
 
 
 Within this context, the Product Analyst plays a critical role in turning product vision and design into execution-ready delivery &mdash; ensuring clarity, consistency, and quality across requirements, solution design, and implementation.
 
 
 
 
 
 This role sits at the heart of the product team, working closely with Product Management, Design, Data Science, and Engineering to drive high-quality, scalable, and impactful solutions.
 
 
 
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Translate design inputs, user journeys, and business needs into clear functional specifications and structured requirements
 
 
 &bull; Support the Product Manager in shaping features, user stories, and acceptance criteria
 
 
 &bull; Ensure requirements are complete, consistent, and aligned with product objectives
 
 
 &bull; Act as the bridge between design intent and technical implementation
 
 
 &bull; Work closely with Data Science teams to define expected outputs, assumptions, and interpretation logic
 
 
 &bull; Validate analytical and AI outputs against business expectations and use cases
 
 
 &bull; Monitor product usage and operations, identifying improvement opportunities
 
 
 &bull; Shape solution designs together with the Product Manager, Architect, and engineering teams.
 
 
 &bull; Define and maintain high‑quality backlog items (Epics, Features, User Stories) and support sprint planning.
 
 
 &bull; Participate in estimation sessions and contribute to effort sizing with engineering team.
 
 
 &bull; Support validation of end-to-end scenarios and product behavior
 
 
 &bull; Identify gaps, inconsistencies, and improvement areas proactively
 
 
 &bull; Partner with engineering, data, and governance teams to align end‑to‑end product delivery.
 
 
 &bull; Maintain documentation (Wikis, flow diagrams, functional specs, Product Changelog).
 
 
 &bull; Identify improvement opportunities based on data, feedback, and performance trends.
 
 
 &bull; Support release readiness, testing validation, and operational handover.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's degree in Information Technology, Computer Science, or related field.
 
 
 &bull; 3&ndash;5 years of experience in a Product Analyst, Business Analyst, or similar role within digital or data-driven environments
 
 
 &bull; Strong grasp of Agile / SAFe and experience working in cross-functional product teams
 
 
 &bull; Can translate designs and business needs into clear, structured, and testable product specifications
 
 
 &bull; Communicate effectively and manage stakeholders with confidence
 
 
 &bull; Confident in working closely with Product Managers, Designers, Data Scientists, and Engineers
 
 
 &bull; Think analytically, enjoy solving problems, and pay strong attention to detail
 
 
 &bull; Comfortable with ambiguity and can adapt quickly in fast-paced, AI-driven environments
 
 
 &bull; Tech-savvy, curious, and proactive in exploring new tools and approaches
 
 
 &bull; Experience in FMCG, Commercial and Finance domains
 
 
 &bull; Familiar with Python, SQL, and general data concepts
 
 
 &bull; Have exposure to Azure, Databricks, PBI, AI/ML, or data-intensive products
 
 
 &bull; Excellent problem-solving and debugging skills.
 
 
 &bull; Excellent spoken and written English
 
 
 &bull; Communication, organizational and analytical skills
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Product Analyst - Revenue Growth Management & AI

Axis

<div>
 
 
 About Axis
 
 
 
 We believe financial services should be more accessible, that&rsquo;s why we started Axis. A fully interoperable mobile wallet which enables users to send and receive money from any mobile wallet in Egypt, pay their bills, buy anything online with a virtual Visa card, or scan any QR code to pay for anything in person. Axis empowers small businesses with simplified digital payments to compete &amp; grow. Our digital banking platform enables small businesses to seamlessly manage payments to employees and suppliers. Small businesses can now send salaries, reimbursements and instantly pay their suppliers on any mobile wallet in Egypt.
 
 
 
 
 
 
 About the role
 
 
 
 Axis is seeking a highly motivated and skilled Mid-Level Governance, Risk, and Compliance (GRC) Engineer to join our growing cybersecurity team. The GRC Engineer will play a crucial role in establishing, maintaining, and improving our GRC framework. You will be responsible for ensuring our adherence to relevant regulations, standards, and internal policies, as well as identifying and mitigating potential risks across the organization.
 
 
 
 
 
 
 You will..
 
 
 <ul>
 <li>
 Assist in the development, implementation, and maintenance of GRC policies, standards, and procedures.
 </li>
 <li>
 Conduct risk assessments to identify, analyze, and evaluate potential risks and vulnerabilities across various business functions and IT systems.
 </li>
 <li>
 Support the monitoring of compliance with relevant laws, regulations (e.g., GDPR, PCI, ISO 27001, CIS, SOC2), and contractual obligations.
 </li>
 <li>
 Assist in the execution of internal and external audits, including gathering evidence, documenting findings, and tracking remediation efforts.
 </li>
 <li>
 Contribute to the development and delivery of GRC awareness and training programs for employees.
 </li>
 <li>
 Support the implementation and management of GRC tools and technologies.
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., IT, Legal, HR) to ensure alignment of GRC activities with business objectives.
 </li>
 <li>
 Assist in the development of risk treatment and mitigation plans and track their implementation.
 </li>
 <li>
 Prepare regular reports and dashboards on the status of GRC activities, risks, and compliance efforts for management review.
 </li>
 <li>
 Stay up-to-date on the latest GRC trends, regulations, and best practices.
 </li>
 <li>
 Participate in the development and execution of business continuity and disaster recovery plans.
 </li>
 <li>
 Assist with third-party risk management activities, including vendor assessments.
 </li>
 <li>
 Contribute to the development and maintenance of security metrics and KPIs.
 </li>
 </ul>
 
 
 
 
 
 You have..
 
 
 <ul>
 <li>
 Bachelor's degree in Information Technology, Cybersecurity, or a related field.
 </li>
 <li>
 2 - 3 years of experience in a GRC analyst, GRC engineer, information security analyst, IT auditor, or a related role.
 </li>
 <li>
 Solid understanding of GRC principles, frameworks (e.g., PCI, CIS, SOC2, NIST), and relevant regulations and standards.
 </li>
 <li>
 Experience in conducting risk assessments and identifying control weaknesses.
 </li>
 <li>
 Familiarity with audit processes and methodologies.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Relevant professional certifications such as CISA, CompTIA Security+, or equivalent is preferred.
 </li>
 <li>
 Knowledge of data privacy regulations (e.g., GDPR, CCPA).
 </li>
 </ul>
 
 
 
 
 
 Perks of working @ Axis
 
 
 <ul>
 <li>
 Hybrid working conditions.
 </li>
 <li>
 Medical Insurance for You and your family.
 </li>
 <li>
 Life Insurance.
 </li>
 <li>
 Gym subscription.
 </li>
 <li>
 Very competitive leave policy including extended Maternity and Paternity leaves.
 </li>
 </ul>
</div>

Cyber Security Engineer (GRC)

PepsiCo

<div>
 
 Overview
 
 
 
 People Experience and Operations Assistant Analyst (Talent Management and Learning) will be responsible for administering and activating all talent management and learning processes and programs for Frontline and Staff employees inline with agreed service catalog and SLAs. The role requires strong process orientation and SLA adherence experience.
 
 
 
 Responsibilities
 
 
 
 
 General
 
 
 
 <ul>
 <li>
 Deliver consistent services at the defined SLAs/KPIs and drive operational efficiency and continuous process improvement.
 </li>
 <li>
 Ensure a consistent and high level of customer service and operational excellence that will ensure transactions are resolved efficiently and in full compliance with relevant legal, company and process requirements.
 </li>
 <li>
 Manage escalation and take ownership for ultimate issue resolution.
 </li>
 <li>
 Ensure continuous and timely knowledge management platform update.
 </li>
 <li>
 Gather TM Capability monthly results &amp; update accordingly the Service Delivery Scorecard.
 
 
 </li>
 </ul>
 
 TM Activities
 
 
 
 <ul>
 <li>
 Administer local Reward &amp; Recognition programs including monthly &amp; quarterly cycles for FL population.
 </li>
 <li>
 Faciltate end to end functional academies &amp; Management Trainees Programs including managing the opening &amp; graduation events, activating all the learning offerings and managing all the needed logistics in coordination with In-field HR Ops teams as per the agreed timlines with the BU.
 </li>
 <li>
 Provide monthly reports for designated stakeholders.
 </li>
 <li>
 Administer company&rsquo;s Code of conduct &amp; Anti-Bribery trainings for PepsiCo&rsquo;s designated population in assigned markets.
 
 
 </li>
 </ul>
 
 Learning Activities
 
 
 
 <ul>
 <li>
 Activate &amp; facilitate training programs&rsquo; logistics, arrangements &amp; execution in coordination with In-field HR Ops teams.
 </li>
 <li>
 Gather &amp; analyze Learning programs&rsquo; attendance &amp; Satisfaction data to be shared with designated stakeholders.
 </li>
 <li>
 Manage learning provider relationships.
 </li>
 <li>
 Activate learning awareness campaigns to the target population per wave as per agreement with the BU.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1-2 year of experience in Talent Management and Learning activation.
 </li>
 <li>
 HR Shared Services process and SLA management
 </li>
 <li>
 Process management and continuous improvement with a focus on optimization and productivity
 </li>
 <li>
 Technical / Functional Skills &amp; Knowledge of HR Tools and Interface
 </li>
 <li>
 Very good English language skills
 </li>
 </ul>
</div>

People Experience and Operations Assistant Analyst (Talent  Management and Learning)

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years total software/ML engineering experience, with 3+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 How you&rsquo;ll work
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Senior Machine Learning Engineer

LSEG

<div>
 Job Summary:
 
 
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 
 
 Role &amp; Responsibilities:
 
 
 <ul>
 <li>
 Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
 </li>
 <li>
 Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
 </li>
 <li>
 Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
 </li>
 <li>
 Support the creation of dashboards, reports, and data visualizations to communicate findings.
 </li>
 <li>
 Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to understand data patterns and trends.
 </li>
 <li>
 Assist in the maintenance and updating of models and algorithms in production.
 </li>
 <li>
 Develop scripts for automating data processing tasks and workflows.
 
 
 </li>
 </ul>
 Qualifications and Experience Required:
 
 
 <ul>
 <li>
 3-5 years experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 Basic understanding of machine learning algorithms and their applications.
 </li>
 <li>
 Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
 </li>
 <li>
 Familiarity with SQL for querying relational databases and performing data manipulation.
 </li>
 <li>
 Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
 </li>
 <li>
 Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Ability to learn quickly and apply new concepts in data science.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
 </li>
 <li>
 A passion for learning and staying updated with the latest developments in data science and machine learning.
 </li>
 <li>
 Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Familiarity with NoSQL databases like MongoDB or Cassandra.
 </li>
 <li>
 Knowledge of basic NLP techniques for text data analysis.
 </li>
 <li>
 Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
 </li>
 <li>
 Interest in gaining exposure to LLMs and agentic frameworks
 
 
 </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 
 
 
 Career Stage:
 
 
 
 Senior Associate
 
 
 
 London Stock Exchange Group (LSEG) Information:
 
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Junior Data Scientist

<div>
 
 We are currently seeking a
 
 French Quality Assurance Analyst
 
 to join our growing team. This role is ideal for professionals who are passionate about quality, customer experience, process improvement, and operational excellence within a contact center environment.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Evaluate customer interactions across multiple channels, including voice, email, chat, social media, and other customer support platforms.
 </li>
 <li>
 Conduct objective and independent quality assessments to ensure compliance with quality standards and client expectations.
 </li>
 <li>
 Participate in calibration sessions to maintain consistency and accuracy in evaluations.
 </li>
 <li>
 Provide detailed feedback and actionable recommendations to improve agent performance and customer satisfaction.
 </li>
 <li>
 Identify operational risks and recommend internal controls to mitigate potential issues.
 </li>
 <li>
 Detect potential fraud, security concerns, and process gaps.
 </li>
 <li>
 Analyze quality trends and provide insights to support business and operational improvements.
 </li>
 <li>
 Identify training and coaching opportunities to enhance team performance.
 </li>
 <li>
 Collaborate with cross-functional teams to drive continuous improvement initiatives.
 </li>
 <li>
 Support the implementation of quality standards, policies, and procedures across operations.
 </li>
 <li>
 Prepare reports and communicate findings to management and relevant stakeholders.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree preferred.
 </li>
 <li>
 6 months to 2 years of experience in Quality Assurance within a contact center or customer service environment.
 </li>
 <li>
 Fluency in French, both written and spoken.
 </li>
 <li>
 Strong knowledge of Microsoft Office applications, particularly Excel, Word, and PowerPoint.
 </li>
 <li>
 Understanding of contact center operations, quality methodologies, and customer experience best practices.
 </li>
 <li>
 Strong analytical and reporting skills with attention to detail.
 </li>
 </ul>
 
 
 
</div>

French Quality Assurance

Amazon

<div>
 
 Description
 
 
 
 Amazon is seeking a highly motivated Business Development Manager to lead the growth of the Hub Delivery program across Egypt. This role is responsible for driving expansion of our Hub partner stores by building and managing high-performing field sales teams. The successful candidate will combine strategic planning with hands-on leadership to accelerate partner acquisition while upholding Amazon's high standards of customer experience and compliance.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Lead and develop a team of Account Development Executives (ADEs), fostering strong field performance, compliance, and capability building across Egypt.
 </li>
 <li>
 Own the country-wide acquisition and expansion strategy, ensuring sustainable growth and high-quality onboarding of Hub partners aligned with network capacity and operational needs.
 </li>
 <li>
 Analyze performance data to track field team effectiveness, identify growth opportunities, and drive continuous improvement in partner acquisition and retention metrics.
 </li>
 <li>
 Serve as the senior escalation point for complex onboarding challenges, partner performance issues, and operational blockers that impact delivery network reliability.
 </li>
 <li>
 Collaborate with Delivery Stations, Program, and Product teams to implement and enhance tools, processes, and partner experience (eg. Salesforce).
 </li>
 <li>
 Collaborate with Delivery Stations, Program, and Product teams to implement and enhance tools, processes, and partner experience (e.g., Salesforce, partner portals, training systems).
 </li>
 <li>
 Represent Egypt in regional and global business reviews, providing data-driven insights, accurate forecasts, and strategic recommendations to senior leadership.
 </li>
 <li>
 Drive compliance with local regulations, labor laws, and Amazon's operational standards while adapting global best practices to the Egyptian market context.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in Sales, Business Development, or related field with demonstrated success in partner/vendor acquisition and relationship management.
 </li>
 <li>
 Proven ability managing large, geographically dispersed field teams with experience in operations planning, resource allocation, and balancing multiple priorities in fast-paced, deadline-driven environments.
 </li>
 <li>
 Strong analytical skills with experience using data to drive decision-making, forecast performance, and identify business opportunities.
 </li>
 <li>
 Excellent stakeholder management skills with ability to influence cross-functional teams and drive alignment across organizational boundaries.
 </li>
 <li>
 Fluency in English and Arabic, with strong written and verbal communication skills for both local team leadership and global stakeholder engagement.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in logistics, last-mile delivery, or e-commerce operations in Egypt or similar emerging markets.
 </li>
 <li>
 Track record of building and scaling field sales or operations teams from ground up.
 </li>
 <li>
 Experience with CRM systems (Salesforce preferred) and data analytics tools.
 </li>
 <li>
 Bachelor's degree in Business, Engineering, or related field; MBA is a plus.
 
 
 </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: A3196851
</div>

Business Development Manager – Egypt, Hub Delivery

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