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Monks

<div>
 Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
 
 
 
 About The Role
 
 
 
 As a Data Analyst at Monks, you will work on designing, implementing, and maintaining robust data foundations that enable our clients to better understand marketing and product performance. You will help ensure that tracking, measurement, and analytics setups are accurate, scalable, and reliable, using tools such as Google Tag Manager, Google Analytics 4, Amplitude, Adobe Customer Journey Analytics, Adobe Launch, Piano Analytics, Firebase, and GCP. You will also be at the forefront of AI-driven innovation, helping to develop AI-powered automations and workflows that make data more accessible, actionable, and ready to support advanced analytics and machine learning initiatives.
 
 
 You should have a strong foundation in data literacy and the ability to translate technical requirements into practical business insights. Ideally, you have experience working with marketing, product, or digital analytics data, along with a solid understanding of data collection, tagging, measurement frameworks, data quality, and cloud technologies. While the role mainly focuses on analytics and data foundations, it also offers opportunities to contribute to AI automation, data engineering, and machine learning enablement projects.
 
 
 This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what&rsquo;s possible, we encourage you to apply!
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Translate business requirements into technical requirements (measurement plans) and follow through with project execution
 </li>
 <li>
 Implement Analytics and/or Marketing tags through any given tag management tool (Google Tag Manager)
 </li>
 <li>
 Collaborate across client&rsquo;s global teams on the execution of analytics projects
 </li>
 <li>
 Ensure accountability across project teams delivering quality and timeliness and work to exceed baseline-level content and deadlines across defined scopes of work as well as new opportunities
 </li>
 <li>
 Support the Monks Data Team to improve service delivery capabilities and identify project growth opportunities
 </li>
 <li>
 Eager to develop and build AI automations in the analytics space
 </li>
 <li>
 Write simple SQL queries in cloud platforms to extract insights from large datasets
 </li>
 <li>
 Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 
 The essentials:
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in a quantitative subject such as Computer Science or a related field.
 </li>
 <li>
 1+ years of working experience in data analytics or a related field.
 </li>
 <li>
 A good understanding of Google BigQuery is beneficial.
 </li>
 <li>
 Fluent English communication and written skills.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
 </li>
 <li>
 Strong data analysis abilities (knowledge of Python/JavaScript very beneficial)
 </li>
 <li>
 Strong analytical and consulting skills, rooted in the ability to draw and communicate insights from multiple data points
 </li>
 <li>
 Excellent consultative approach to developing and managing business relationships
 </li>
 <li>
 Ambition to perform unprecedented tasks and obtain new skills, be comfortable with uncertainty and adapt to a rapidly changing environment
 </li>
 <li>
 Ability and desire to scale knowledge and learning to other junior (and at times senior) team members
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's Degree in Computer Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 GA4 Certification.
 </li>
 <li>
 Experience with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Familiarity with social data and AI tools (e.g. Instagram, Facebook, TikTok, ChatGPT, Claude, Gemini, etc).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Data Studio or any visualisation tool
 
 
 
 </li>
 </ul>
 
 At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission.
 
 
 
 
 About Monks
 
 
 
 Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). Named Adweek&rsquo;s first AI Agency of the Year (2023) and The One Show&rsquo;s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group&rsquo;s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato&rsquo;s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
 
 
 We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.
 
 
</div>

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

PepsiCo

<div>
 
 Overview
 
 
 
 The VMI Analyst ensures efficient inventory management by monitoring, analyzing, and optimizing stock levels at customer or distributor locations. This role involves coordinating data flows, ensuring accuracy, and collaborating with internal stakeholders (Supply Chain, Sales, Logistics, Finance) and external partners to ensure products are available when needed, costs are optimized, and customer service levels are met.
 
 
 
 Responsibilities
 
 
 
 
 Inventory Monitoring &amp; Management
 
 
 
 <ul>
 <li>
 Track customer or distributor inventory levels (by SKU), sales velocity, and consumption trends.
 </li>
 <li>
 Use VMI agreements/data sharing to trigger replenishment orders.
 </li>
 <li>
 Identify overstock and stockout risks, implement corrective actions.
 </li>
 <li>
 Maintain Days on Hand (DOH) targets.
 </li>
 <li>
 Coordinates NPD execution for his/her customer (weekly) - minimizes obsoletes and maximizing speed to shelve
 
 
 </li>
 </ul>
 
 Order Replenishment &amp; Optimization
 
 
 
 <ul>
 <li>
 Create and process replenishment orders, ensuring accuracy in quantities, pricing, delivery schedules.
 </li>
 <li>
 Optimize logistics (e.g. combining shipments, full truckloads) to reduce costs.
 </li>
 <li>
 Manage order changes, cancellations, exceptions.
 </li>
 <li>
 Align closely with the Transportation Team to ensure timely and accurate deliveries.
 </li>
 <li>
 Respond promptly to any transportation issues, ensuring quick problem resolution and client communication.
 </li>
 <li>
 Check Daily and Weekly reports related to orders issues like (open orders, incomplete orders, gtms&hellip;)
 
 
 </li>
 </ul>
 
 Data Quality &amp; Systems Management
 
 
 
 <ul>
 <li>
 Ensure data feed/flows between customer systems, PoS, ERP, and VMI tools are accurate and timely.
 </li>
 <li>
 Identify and correct data errors (discrepancies in inventory, forecasting, order processing).
 </li>
 <li>
 Be a key user / liaison for any tools supporting VMI (systems implementation, data integration, dashboards).
 
 
 </li>
 </ul>
 
 Customer Communication &amp; Relationship Management
 
 
 
 <ul>
 <li>
 Serve as the primary point of contact for client&rsquo;s concerns.
 </li>
 <li>
 Proactively communicate Out of Stock (OOS) situations to clients in advance and collaborate with the Product Availability Team to resolve them.
 </li>
 <li>
 Host weekly operational meetings with clients and monthly business reviews with stakeholders to provide updates on KPIs, issues, and improvement actions.
 </li>
 <li>
 Maintain strong business relationships with clients and internal Business Units (BUs) to build trust and improve collaboration.
 </li>
 <li>
 Manage and respond to client inquiries via Cisco hotline during assigned shifts.
 
 
 </li>
 </ul>
 
 Continuous Improvement
 
 
 
 <ul>
 <li>
 Identify root causes of recurrent issues.
 </li>
 <li>
 Implement process improvements, standardization, automation where relevant.
 </li>
 <li>
 Support system rollouts or upgrades related to VMI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Bachelor&rsquo;s degree (Supply Chain / Logistics / Business / Engineering) or equivalent.
 
 
 1-3 years of experience in supply chain / inventory management, ideally with VMI or similar models in FMCG or consumer goods.
 
 
 Strong analytical skills; ability to work comfortably with large data sets.
 
 
 Good knowledge of forecasting, inventory planning and replenishment techniques.
 
 
 Proficiency with relevant software: Excel (advanced), ERP tools, VMI systems, data dashboards (e.g. BI tools).
 
 
 Strong attention to detail, and ability to work across multiple SKUs, customers, regions.
 
 
 Good communication skills; capable of working with internal teams and external partners.
 
 
 Fluency in English/French (written &amp; spoken).
 
 
 Ability to handle change, ambiguity; proactive mindset.
</div>

Order Management Assoc Analyst (French Speaker)

<div>
 
 Overview
 
 
 
 The DRP process is an automated process. The responsibility of the DRP planner is to identify, review &amp; resolve exceptions, maintain accuracy, and update DRP parameters.
 
 
 The accountability of the role is to run the DRP process for a group of supply sourcing lanes so that efficient vehicle movements of product can be deployed to the right locations on time for target customer service to be achieved. The role holder will spend significant time parameterizing the Pro-link planning tool so that move recommendations are optimized and will continually update plans as and when demand or supply disruptions require it.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Responsible for maintaining &amp; running the automated DRP process
 </li>
 <li>
 Responsible for inventory deployment, trans-shipments and deployment network design to ensure product arrives on time at the right place
 </li>
 <li>
 Responsible for leading the regional exception-based planning process and driving continuous improvement
 </li>
 <li>
 Conduct root cause analysis for trans-ship, expedite losses and develop action plans through system and/or process improvement
 </li>
 <li>
 Work closely with customer service, demand, and supply planning to ensure accuracy and efficiency
 </li>
 <li>
 Drive system utilization and feed loss tree insights into future enhancements
 </li>
 <li>
 Ensure lead times for deployment in the system are maintained and accurate
 </li>
 <li>
 Ensure safety stock settings are dynamically adjusted for finished goods
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Experience &ndash; 2 &ndash; 3 years in associated function
 
 
 Qualifications:
 
 
 <ul>
 <li>
 University degree preferably engineering or logistics
 </li>
 <li>
 Experience in distribution planning or familiar Supply Planning tasks
 </li>
 <li>
 Proficiency in product category planning FMCG background preferred
 
 
 </li>
 </ul>
 Abilities:
 
 
 <ul>
 <li>
 Fluent oral and written communication skills in English
 </li>
 <li>
 Problem solving know-how
 </li>
 <li>
 Strong Analytic skills
 </li>
 <li>
 Experience in using planning systems, BY- JDA preferred
 </li>
 <li>
 Experience in ERP (SAP) usage is a must
 </li>
 <li>
 Good numeric abilities;
 </li>
 <li>
 Demonstrated proficiency in Microsoft Office: Outlook, Excel
 </li>
 </ul>
</div>

Supply Network Planning Associate Analyst

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Confidential

<div>
 
 
 Role Description
 
 
 
 The Total Rewards Specialist is a full-time, on-site role based in Cairo, Egypt. This position is responsible for administering and supporting compensation and benefits programs, including salary structures, incentive plans, and health and wellness benefits. The specialist will analyze market data, prepare reports, and help ensure that total rewards offerings are competitive, compliant, and aligned with organizational objectives. Daily tasks include coordinating with HR and finance teams, responding to employee inquiries about compensation and benefits, maintaining accurate records, and supporting the implementation of new reward initiatives. The role also involves assisting in policy documentation, contributing to total rewards communication materials, and participating in continuous improvement of compensation and benefits processes.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Demonstrated knowledge of compensation and benefits principles, including salary structures, incentive plans, and benefits administration.
 </li>
 <li>
 Strong analytical and data management abilities, with experience using spreadsheets, HRIS tools, and reporting systems to interpret and present total rewards information.
 </li>
 <li>
 Solid understanding of local labor laws and regulatory requirements in Egypt related to compensation, benefits, and employee relations.
 </li>
 <li>
 Effective communication and interpersonal skills, with the ability to explain total rewards programs clearly to employees and collaborate with cross-functional teams.
 </li>
 <li>
 Organizational and time-management strengths, with attention to detail and the ability to handle multiple tasks and deadlines in a high-volume environment.
 </li>
 <li>
 Prior experience in HR, compensation, or benefits roles, ideally within a medium or large organization.
 </li>
 <li>
 Bachelor&rsquo;s degree in Human Resources, Business Administration, Finance, or a related field is preferred.
 </li>
 </ul>
</div>

Total Rewards Specialist

Envision Employment Solutions

<div>
 
 
 Description
 
 
 
 
 Envision Employment Solutions
 
 is currently looking for
 
 UX Servicedesk XMO
 
 for one of our partners, a leader in the
 
 Consulting &amp; Technology Services
 
 !
 
 
 
 
 
 
 Objective:
 
 
 
 The
 
 UX SD (Service Desk)
 
 role within the Experience Management Office (XMO) is responsible for understanding end user experience across Service Desk and digital support channels. The role focuses on identifying pain points, analyzing user behavior, and translating qualitative and quantitative insights into experience improvement initiatives.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Conduct UX and employee experience research related to Service Desk and support channels
 </li>
 <li>
 Analyze user journeys, touchpoints, and interactions across Service Desk processes
 </li>
 <li>
 Perform qualitative and quantitative research (interviews, surveys, focus groups, usability tests)
 </li>
 <li>
 Create and maintain personas to represent different Service Desk user groups
 </li>
 <li>
 Collaborate with Data Analysts, DEM Tool SMEs, and Experience Managers to triangulate insights
 </li>
 <li>
 Translate research findings into actionable recommendations for Service Desk improvement
 </li>
 <li>
 Support root cause analysis for experience related issues identified through XMO analytics
 </li>
 <li>
 Document findings and update insights in the Experience Management Tracker
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 4 - 6 years of experience in UX Research, Employee Experience, or Service Design roles
 </li>
 <li>
 Strong understanding of Service Desk or IT support environments
 </li>
 <li>
 Ability to apply UX research methods in operational service contexts
 </li>
 <li>
 Strong analytical, synthesis, and storytelling skills
 </li>
 <li>
 Very good communication and stakeholder collaboration skills user
 </li>
 </ul>
</div>

UX Servicedesk XMO

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