Database Developer Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Analytics &amp; Transformation Engineer with 3 11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions. Key Responsibilities Design and develop scalable analytics solutions to support business transformation initiatives. Build executive dashboards, reports, and analytical models to enable data-driven decision-making. Develop and maintain semantic models, metrics frameworks, and reporting standards. Perform behavioral analytics to understand user journeys, engagement patterns, and business performance. Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks. Collaborate with product, engineering, marketing, and business teams to establish data-driven processes. Perform tracking implementation QA and ensure accuracy of analytics data collection. Conduct A/B testing analysis and evaluate the impact of product and business changes. Perform post-launch transaction analysis and ensure analytics readiness for new initiatives. Identify opportunities for process optimization and business improvement through data insights. Required Technical Skills Business Intelligence &amp; Visualization Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting. Experience developing interactive dashboards, KPI reporting, and executive-level visualizations. Data Modeling &amp; Analytics Engineering Strong experience with SQL and dbt for data transformation and analytics workflows. Experience designing and maintaining semantic models and reusable analytical datasets. Understanding of data modeling concepts, metrics definitions, and reporting frameworks. Product &amp; Behavioral Analytics Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis. Strong understanding of behavioral analytics, user journey tracking, and engagement measurement. Experience defining metrics, event taxonomy planning, and tracking implementation QA. Experimentation &amp; Measurement Experience designing and analyzing A/B testing initiatives. Ability to measure business impact through controlled experiments and analytical insights. Experience with post-launch analysis, transaction analysis, and performance tracking. Reporting &amp; Productivity Tools Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation. Experience working with analytics methodologies and comparable tools/platforms. Qualifications Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field. 3 11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics. Strong analytical, problem-solving, and communication skills. Ability to work with technical and non-technical stakeholders. Experience working in Agile/Scrum environments. Preferred Skills Experience supporting digital transformation and product analytics initiatives. Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with data governance, analytics standards, and measurement frameworks. Experience working with large-scale datasets and enterprise reporting environments. Certifications in analytics, BI tools, or cloud technologies are a plus. Key Technology Stack Business Intelligence: Power BI or Tableau or Looker Analytics Engineering: dbt and SQL Data Modeling: Semantic Models and Metrics Frameworks Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing Reporting &amp; Analysis: Excel and Dashboard Creation Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>3 11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work with technical and non-technical stakeholders.</li><li>Experience working in Agile/Scrum environments.</li></ul><p></p></section>

Job Summary:We are looking for a detail-oriented and analytical Product Management Specialist to manage product data and lifecycle activities, analyze product performance, and support internal teams with accurate and up-to-date product information.<br>Key Responsibilities:Manage the product lifecycle by entering, updating, and maintaining product information, technical specifications, pricing, and related data in the company’s systems. Ensure product data is accurate, complete, and continuously updated. Analyze product sales and performance using Advanced Microsoft Excel to identify trends and support business decisions. Monitor product inventory and coordinate with relevant departments to ensure product availability. Prepare product reports, technical documentation, and product-related materials. Provide product-related support and information to field and operational teams. Support and train relevant teams on product updates, changes, and new features. Coordinate with the Quality Department to follow up on product specifications, quality requirements, and product-related issues. Coordinate with suppliers and internal departments regarding product information, specifications, and updates. Identify discrepancies in product data and coordinate with relevant teams to ensure timely resolution.<br>Requirements:Diploma or bachelor’s degree in business administration, Supply Chain, Marketing, or a related field.1–3 years of relevant experience in Product Management, Product Coordination, Operations, or a related field. Mandatory hands-on experience with Microsoft Dynamics 365. Advanced proficiency in Microsoft Excel, including data analysis, reporting, and data management. Strong written and verbal English communication skills.

<p><strong>1. Role Purpose:</strong> Extract, structure, and validate Bills of Materials (BOM) for equipment and assets, identify Consumable and Rebuildable spare parts, match spare items against the Material Master , and prepare high-quality engineering data for review, approval, and upload into Enterprise Asset Management (EAM) systems. The BOM Engineer is responsible for BOM extraction, preparation, and structuring, while the BOM QC Engineer is responsible for quality verification, validation, and compliance before submission.</p><p><strong>2. Key Responsibilities BOM Engineer:</strong> Read and interpret technical documents including OEM Manuals, Spare Parts Catalogues, Parts Lists, Bill of Materials (BOM), Cross-Section Drawings, General Arrangement (GA) Drawings, Assembly Drawings, and Engineering Documentation. Extract complete Bills of Materials (BOM) for equipment based on manufacturer documentation. Identify and document components with accurate descriptions, quantities, hierarchy, and technical attributes. Search and match spare parts with existing Material Master records and identify items requiring new material creation. Classify spare parts as Consumable or Rebuildable according to project standards. Prepare structured BOMs using standard templates while maintaining consistency across equipment types. Prepare lists of new materials for Material Master creation where existing records are unavailable. Incorporate review comments and revise BOMs based on Quality Control feedback. Support document indexing and equipment-document linkage activities when required. Ensure compliance with engineering documentation standards and material coding guidelines.</p><p><strong>3. Key Responsibilities BOM QC Engineer:</strong> Perform detailed quality checks on prepared Bills of Materials before submission. Verify BOM completeness against OEM manuals, spare parts lists, drawings, and engineering documents. Validate Material Master matching accuracy and ensure correct material identification. Verify Consumable and Rebuildable spare classification according to project standards. Review BOM templates to ensure mandatory fields, naming conventions, and engineering standards are followed. Identify data inconsistencies and coordinate corrective actions with BOM Engineers. Track quality observations, rejection reasons, and corrective actions. Prepare QC reports and support internal quality reviews. Ensure data quality, consistency, and completeness before final approval.</p><p><strong>4. Required Skills &amp; Knowledge (Both Roles):</strong> Strong ability to read and interpret engineering and maintenance documentation including: Bills of Materials (BOM) Spare Parts Lists OEM Manuals Parts Catalogues Assembly Drawings Cross-Section Drawings General Arrangement (GA) Drawings Equipment Drawings Hands-on experience extracting BOMs and spare parts information from engineering documents. Experience matching engineering materials with Material Master or Item Master records. Good understanding of Material Master Data and engineering material identification. Working knowledge of: Material Coding Material Classification Equipment Hierarchy Parent-Child Relationships Unit of Measure (UOM) Quantity Structure BOM Templates Understanding of equipment assemblies, sub-assemblies, components, and spare parts. Familiarity with Mechanical, Electrical, Instrumentation, and Rotating Equipment spare parts. Strong attention to detail with excellent data quality and validation skills. Proficiency in Microsoft Excel, including Filters, VLOOKUP/XLOOKUP, Data Validation, and data cleansing techniques. Good written and verbal communication skills in English.</p><p><strong>5. Preferred Skills:</strong> Experience in Asset Management, Material Master Data Management, Spare Parts Cataloguing, or Engineering Master Data projects. Experience working with Enterprise Asset Management (EAM) systems such as: Oracle eAM SAP PM SAP EAM IBM Maximo IBM MAS Hexagon EAM Knowledge of Rebuildable and Capital Spare management concepts. Experience in Oil &amp; Gas, Petrochemical, Water Utilities, Power, Mining, Manufacturing, or Heavy Industrial projects. Knowledge of Material Cataloguing standards including Noun &amp; Modifier methodology and UNSPSC classification is an added advantage.</p><p><strong>6. Experience &amp; Qualifications:</strong></p><p><strong>BOM Engineer</strong> 3-7 years of experience in Maintenance, Reliability, Spare Parts Management, Material Master Data, Engineering Documentation, Material Cataloguing, or Asset Management. Diploma or Bachelor's Degree in Mechanical, Electrical, Instrumentation, Industrial, or related Engineering disciplines.</p><p><strong>BOM QC Engineer</strong> 4-8 years of experience in BOM Quality Control, Material Master Validation, Engineering Data Quality, or Spare Parts Cataloguing. Proven experience in BOM validation, quality assurance, and engineering documentation review. Diploma or Bachelor's Degree in Mechanical, Electrical, Instrumentation, Industrial, or related Engineering disciplines.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Skills &amp; Knowledge (Both Roles):</strong> Strong ability to read and interpret engineering and maintenance documentation including: Bills of Materials (BOM) Spare Parts Lists OEM Manuals Parts Catalogues Assembly Drawings Cross-Section Drawings General Arrangement (GA) Drawings Equipment Drawings Hands-on experience extracting BOMs and spare parts information from engineering documents. Experience matching engineering materials with Material Master or Item Master records. Good understanding of Material Master Data and engineering material identification. Working knowledge of: Material Coding Material Classification Equipment Hierarchy Parent-Child Relationships Unit of Measure (UOM) Quantity Structure BOM Templates Understanding of equipment assemblies, sub-assemblies, components, and spare parts. Familiarity with Mechanical, Electrical, Instrumentation, and Rotating Equipment spare parts. Strong attention to detail with excellent data quality and validation skills. Proficiency in Microsoft Excel, including Filters, VLOOKUP/XLOOKUP, Data Validation, and data cleansing techniques. Good written and verbal communication skills in English.</p><p><strong>Preferred Skills:</strong> Experience in Asset Management, Material Master Data Management, Spare Parts Cataloguing, or Engineering Master Data projects. Experience working with Enterprise Asset Management (EAM) systems such as: Oracle eAM SAP PM SAP EAM IBM Maximo IBM MAS Hexagon EAM Knowledge of Rebuildable and Capital Spare management concepts. Experience in Oil &amp; Gas, Petrochemical, Water Utilities, Power, Mining, Manufacturing, or Heavy Industrial projects. Knowledge of Material Cataloguing standards including Noun &amp; Modifier methodology and UNSPSC classification is an added advantage.</p><p><strong>Experience &amp; Qualifications:</strong></p><p><strong>BOM Engineer</strong> 3-7 years of experience in Maintenance, Reliability, Spare Parts Management, Material Master Data, Engineering Documentation, Material Cataloguing, or Asset Management. Diploma or Bachelor's Degree in Mechanical, Electrical, Instrumentation, Industrial, or related Engineering disciplines.</p><p><strong>BOM QC Engineer</strong> 4-8 years of experience in BOM Quality Control, Material Master Validation, Engineering Data Quality, or Spare Parts Cataloguing. Proven experience in BOM validation, quality assurance, and engineering documentation review. Diploma or Bachelor's Degree in Mechanical, Electrical, Instrumentation, Industrial, or related Engineering disciplines.</p><p><strong>Additional Requirements (Both Roles)</strong> Willingness to work full-time onsite in the Kingdom of Saudi Arabia (KSA). Ability to coordinate with engineering, maintenance, procurement, and asset management teams. Strong analytical, documentation, and problem-solving skills. Commitment to maintaining high standards of engineering data quality and project deliverables.</p>

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.<br>We are seeking a Storage Administrator with hands-on experience managing enterprise SAN/NAS storage, LUNs, RAID, Fibre Channel, and i SCSI and strong knowledge of storage provisioning, replication, backup, snapshots, performance monitoring, and troubleshooting.<br>Primary Skills/Requirements8+ years of experience in Enterprise Storage, Data Center Infrastructure, and Backup environments. Strong hands-on experience in SAN/NAS storage administration and enterprise data center environments. Experience managing storage capacity, performance, availability, and troubleshooting. Good knowledge of SAN, NAS, storage connectivity and high-availability storage environments. Experience with VMware/Hyper-V/Nutanix and integration with enterprise storage platforms. Hands-on experience with Veeam, Commvault, Exa Grid, Synology NAS or similar backup/storage technologies. Experience with Azure Storage and Azure Backup is an advantage. Strong understanding of backup, disaster recovery, RPO/RTO and data protection. Experience supporting multi-site data centers and critical production environments. Strong analytical, troubleshooting and problem-solving skills. Ability to handle P1/P2 incidents, RCA, capacity planning and infrastructure changes.<br>WHAT’S ON OFFER:You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.<br>To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to neelu@aven-sys.com Your interest will be treated with strict confidentiality.<br>CONSULTANT DETAILS:Consultant Name : Neelu Sharma Avensys Consulting Pte Ltd<br>Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

<h3>نبذة عن الدور</h3><p>تبحث مؤسسة ضغطة واحدة للخدمات اللوجستية عن <strong>مدخل بيانات</strong> للانضمام إلى فريقها في الجبيل، المنطقة الشرقية. يركز هذا الدور بدوام كامل على مراجعة وتدقيق وإدخال وتخزين البيانات والمعلومات باستخدام أنظمة الحاسب الآلي، مما يضمن دقة وسلامة البيانات التشغيلية للمؤسسة.</p><h3>المهام والمسؤوليات الرئيسية</h3><ul><li>مراجعة الاستمارات المتعلقة بالبيانات وترميزها، والتأكد من اكتمال جميع المعلومات المطلوبة.</li><li>إدخال البيانات والمعلومات بدقة في أنظمة الحاسب الآلي، وفقًا للبرامج والنظم الإحصائية المعتمدة.</li><li>مراجعة رموز التصنيف للبيانات والمعلومات المدخلة، وتصحيح أي أخطاء أو تناقضات قد تظهر.</li><li>تخزين المعلومات المدخلة بطريقة منظمة وآمنة لضمان سهولة الوصول إليها واسترجاعها.</li><li>عمل النسخ الاحتياطية اللازمة للبيانات والمعلومات المخزنة بشكل دوري لحمايتها من الفقدان.</li><li>الالتزام الصارم بالتعليمات والسياسات المتعلقة بسرية البيانات والمعلومات وحمايتها.</li></ul><h3>المؤهلات والخبرات</h3><ul><li>خبرة تتراوح من 0 إلى 1 سنة في مجال إدخال البيانات أو ما يعادله.</li><li>القدرة على التعامل مع أنظمة إدخال البيانات وبرامج الحاسب الآلي بكفاءة.</li><li>الاهتمام بالتفاصيل والدقة في إدخال ومراجعة البيانات.</li></ul><h3>المهارات المطلوبة</h3><ul><li>مهارات جيدة في استخدام الحاسب الآلي وبرامج Microsoft Office.</li><li>القدرة على العمل بشكل مستقل وكجزء من فريق.</li><li>مهارات تنظيمية وإدارة الوقت.</li></ul><h3>بيئة العمل</h3><p>هذا الدور هو وظيفة بدوام كامل في مدينة الجبيل بالمنطقة الشرقية، ضمن بيئة عمل داعمة تركز على الكفاءة والدقة في معالجة البيانات اللوجستية.</p><h3>معلومات إضافية</h3><p>الراتب لهذا المنصب غير معلن وسيتم تحديده بناءً على المؤهلات والخبرة خلال عملية التوظيف.</p>

<p>You will drive impact across five areas The Catalog Engine and Category Setup (one engine, built once, with what each category needs from a product record expressed as configuration rather than code, so supporting one more category is fast and repeatable) Product Data Input (creation, bulk import, editing, and everything that happens at the moment someone types or uploads) Structure and Meaning (taxonomy, attributes, variants, identifiers, normalization, and duplicates) AI Enrichment (extracting and generating product data from what merchants already have, with a clear position on confidence, review, and correction) Downstream Fitness (how this data actually performs where it is consumed: search results, storefronts, recommendations, and external channel feeds)</p><p>Responsibilities:</p><ul><li>Own the catalog strategy end to end: sequence it into quarters, defend it in the room, and hold it accountable to the numbers it promised.</li><li>Own the roadmap for how product data gets created and improved on Salla, prioritized on whether the data works downstream rather than on how many fields are filled.</li><li>Design for the people who actually do the work, including the ones who do not own the store, and make the good path the fastest path rather than a longer one enforced by rules.</li><li>Keep a new category, a configuration change rather than an engineering project, and be able to show the difference in effort between the first one and the next.</li><li>Put AI to work where it earns trust: decide what we generate outright, what we suggest for approval, and what we never touch, with a stated confidence policy and a loop that learns from every correction a merchant makes.</li><li>Define what catalog quality means at Salla and instrument it honestly, tied to the surfaces that consume the data rather than to completeness for its own sake.</li><li>Own how product data performs in external selling channels, where the requirements are strict and the rejections are visible.</li><li>Decide how much structure we impose and where merchants stay free, then defend that line against pressure from both directions.</li><li>Lead 2 to 3 product managers: give them real ownership, coach their framing and craft, run a reliable cadence, and raise the quality bar of what the group ships.</li><li>Work as one system with the teams that depend on this data: search and discovery, storefronts, vendors, marketplace, and data.</li></ul><p>Six or more years in product management, including work on a self-serve platform where users created their own content or data and you were accountable for the quality of what they produced. A number you owned and moved on that data: completeness that meant something, accuracy, time to publish, adoption of a data tool, or the performance of that data somewhere downstream. Evidence that you changed what users produced at the moment they produced it, rather than cleaning it up afterwards in a pipeline. We will ask which one it was. Platform judgment: you have built something once and made it serve many cases through configuration, and you can explain where you drew the line between what was shared and what was specific, and what that choice cost you. AI in production for structured data: extraction, classification, generation, or matching. You can talk concretely about confidence thresholds, error rates, what you let through automatically, and what you did when it was wrong at scale. Literacy in how product data is actually structured: taxonomies, attribute schemas, variants, identifiers, matching and deduplication, and the strict requirements external selling channels impose. You have coached product managers, formally or not, and you are ready to lead a small team without stepping away from the craft yourself. You own outcomes rather than roadmaps, you move quickly through ambiguity, and you build clarity where others see noise. You stay close to the details and you cannot guard your own area, because this data belongs to everyone downstream. Full professional fluency in Arabic and English is required. Merchant context in this region is preferred over theoretical knowledge. Willing to relocate to Saudi Arabia and work on-site.</p><p><strong>Desired Candidate Profile</strong></p><p>Six or more years in product management, including work on a self-serve platform where users created their own content or data and you were accountable for the quality of what they produced. A number you owned and moved on that data: completeness that meant something, accuracy, time to publish, adoption of a data tool, or the performance of that data somewhere downstream. Evidence that you changed what users produced at the moment they produced it, rather than cleaning it up afterwards in a pipeline. We will ask which one it was. Platform judgment: you have built something once and made it serve many cases through configuration, and you can explain where you drew the line between what was shared and what was specific, and what that choice cost you. AI in production for structured data: extraction, classification, generation, or matching. You can talk concretely about confidence thresholds, error rates, what you let through automatically, and what you did when it was wrong at scale. Literacy in how product data is actually structured: taxonomies, attribute schemas, variants, identifiers, matching and deduplication, and the strict requirements external selling channels impose. You have coached product managers, formally or not, and you are ready to lead a small team without stepping away from the craft yourself. You own outcomes rather than roadmaps, you move quickly through ambiguity, and you build clarity where others see noise. You stay close to the details and you cannot guard your own area, because this data belongs to everyone downstream. Full professional fluency in Arabic and English is required. Merchant context in this region is preferred over theoretical knowledge. Willing to relocate to Saudi Arabia and work on-site.</p>

<p>We are looking for Expert Storage Administrators with strong hands-on experience managing S3 and NFS storage platforms within high-performance computing (HPC) environments. The role is responsible for ensuring high availability, performance, scalability, capacity, and secure data access across storage infrastructure. Key Responsibilities Administer, configure, and support S3 and NFS storage platforms . Monitor and optimize storage performance, capacity, availability, and scalability . Manage storage access, permissions, quotas, replication, and data protection . Troubleshoot storage, filesystem, and data-access issues across HPC environments. Support storage integration with Linux, Kubernetes, and HPC workloads . Perform storage health monitoring, performance analysis, and capacity planning. Support data replication, backup, recovery, and protection mechanisms. Automate routine storage administration and maintenance activities where applicable. Participate in incident resolution and root-cause analysis for storage-related issues. Maintain technical documentation, configurations, and operational procedures.</p><p><strong>Desired Candidate Profile</strong></p><p>Strong hands-on experience as a Storage Administrator / Storage Engineer . Expert-level S3 and NFS administration is mandatory. Experience supporting HPC storage environments . Strong knowledge of Linux storage and filesystem administration . Experience integrating storage with Kubernetes/containerized workloads . Strong understanding of: S3 / Object Storage NFS Storage performance &amp; monitoring Capacity management Permissions &amp; access control Quotas Replication Data protection High availability Experience troubleshooting complex storage and data-access issues . Experience with storage automation/scripting is preferred. Relevant storage certifications are preferred.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Expert Storage Administrators with strong hands-on experience managing S3 and NFS storage platforms within high-performance computing (HPC) environments.<br> The role is responsible for ensuring high availability, performance, scalability, capacity, and secure data access across storage infrastructure.<br> Key Responsibilities Administer, configure, and support S3 and NFS storage platforms .<br> Monitor and optimize storage performance, capacity, availability, and scalability .<br> Manage storage access, permissions, quotas, replication, and data protection .<br> Troubleshoot storage, filesystem, and data-access issues across HPC environments.<br> Support storage integration with Linux, Kubernetes, and HPC workloads .<br> Perform storage health monitoring, performance analysis, and capacity planning.<br> Support data replication, backup, recovery, and protection mechanisms.<br> Automate routine storage administration and maintenance activities where applicable.<br> Participate in incident resolution and root-cause analysis for storage-related issues.<br> Maintain technical documentation, configurations, and operational procedures.<br> Strong hands-on experience as a Storage Administrator / Storage Engineer .<br> Expert-level S3 and NFS administration is mandatory.<br> Experience supporting HPC storage environments .<br> Strong knowledge of Linux storage and filesystem administration .<br> Experience integrating storage with Kubernetes/containerized workloads .<br> Strong understanding of: S3 / Object Storage NFS Storage performance &amp; monitoring Capacity management Permissions &amp; access control Quotas Replication Data protection High availability Experience troubleshooting complex storage and data-access issues .<br> Experience with storage automation/scripting is preferred.<br> Relevant storage certifications are preferred.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3>نبذة عن الدور</h3><p>تبحث شركة بوابة الشمال العربية التجارية عن <strong>مدخل بيانات</strong> للانضمام إلى فريقها في عرعر، الحدود الشمالية. يركز هذا الدور على مراجعة استمارات البيانات وتدقيقها، بالإضافة إلى إدخال وتخزين المعلومات باستخدام أنظمة الحاسب الآلي. يتطلب الدور خبرة تتراوح بين 2 إلى 5 سنوات في مجال إدخال البيانات.</p><h3>المهام والمسؤوليات الرئيسية</h3><ul><li>مراجعة الاستمارات المتعلقة بالبيانات وترميزها لضمان اكتمالها ودقتها.</li><li>إدخال البيانات والمعلومات إلى الحاسب الآلي وفقًا للبرامج والنظم الإحصائية المعتمدة.</li><li>مراجعة رموز التصنيف للبيانات والمعلومات المدخلة وتصحيح أي أخطاء موجودة.</li><li>تخزين المعلومات المدخلة بشكل منظم وآمن.</li><li>إنشاء النسخ الاحتياطية اللازمة للبيانات والمعلومات المخزنة لضمان الحفاظ عليها.</li><li>الالتزام بالتعليمات والإرشادات المتعلقة بسرية البيانات والمعلومات وحمايتها.</li></ul><h3>المؤهلات والخبرات المطلوبة</h3><ul><li>خبرة عملية تتراوح بين <strong>2 إلى 5 سنوات</strong> في مجال إدخال البيانات أو دور مشابه.</li><li>القدرة على مراجعة وتدقيق البيانات بدقة عالية.</li><li>إتقان استخدام برامج الحاسب الآلي وأنظمة إدخال البيانات.</li></ul><h3>نوع العمل</h3><p>هذا الدور بدوام كامل في مدينة عرعر، الحدود الشمالية.</p><h3>التقديم</h3><p>نرحب بالمرشحين المؤهلين للتقدم لهذا الدور.</p>

Job Purpose:<br>The role will be responsible for providing overall technical leadership, coordinating multidisciplinary engineering teams, and ensuring that the data center solution meets the client's requirements for performance, reliability, scalability, quality, and safety.<br>Key Responsibilities:<br>Lead the overall technical scope of AI data center infrastructure projects. Act as the main technical point of contact for the client and project stakeholders. Coordinate Electrical, Mechanical, and Digital engineering teams. Lead technical design and solution development from concept through implementation and commissioning. Review and ensure integration of critical data center systems, including power, cooling, UPS, electrical distribution, monitoring and control systems. Manage technical risks, design changes, deviations, and engineering issues. Coordinate with suppliers, manufacturers, contractors, and internal teams. Ensure technical compliance with project specifications, standards, and client requirements. Support technical discussions, presentations, and negotiations with the client. Drive standardization and scalability of technical solutions across the program. Provide technical support during testing, commissioning, and project handover.<br>Qualifications and Experience:<br>Bachelor's or Master's degree in Electrical, Mechanical, MEP, or related Engineering.15+ years of experience in data center, critical infrastructure, or similar large-scale projects. Strong experience in data center infrastructure and technical project leadership. Good understanding of electrical and mechanical systems, including MV/LV systems, UPS, transformers, cooling, EPMS/BMS, and related infrastructure. Proven experience managing multidisciplinary engineering teams. Strong client-facing, communication, coordination, and problem-solving skills. Experience with large-scale or hyperscale data center projects is highly preferred. Experience in the GCC/Saudi Arabia is an advantage.

<p><span>Autobia is a Saudi technology company founded in Dammam in 2021, building the ecosystem that supports the growth of the traditional retail sector — its most developed vertical to date being the auto parts market.</span></p><p><br></p><p><strong>We Hire Builders</strong></p><p><span>We hire builders who see themselves in the decisions, not just the tasks — and right now, we're looking for a </span><strong>Supplier Master Data Specialist</strong><span> to ensure the accuracy and integrity of our supplier pricing data.</span></p><p><span>In this role, you'll monitor compliance with agreed quotations, prepare accurate pricing files, and maintain parts and price master data in the system to support Sales and Procurement. You'll report to the Supplier Relations Manager and partner closely with Sales and Procurement to keep pricing clean, compliant, and up to date.</span></p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><span>Receive, review, and format supplier quotations, ensuring they are free of calculation and typing errors before submitting them to the Supplier Relations Manager for approval.</span></li><li><span>Conduct daily reviews of system prices against agreed supplier rates, and immediately flag any discrepancies or unapproved price changes.</span></li><li><span>Update system prices based on newly approved supplier quotations.</span></li><li><span>Upload prices, descriptions, and brand information for new parts into the system.</span></li><li><span>Deactivate unavailable parts and keep catalog data complete and consistent.</span></li><li><span>Analyze pricing data to identify trends, anomalies, and recurring supplier issues, and share insights with the Supplier Relations Manager.</span></li><li><span>Respond to Sales and Procurement inquiries on pricing and part availability.</span></li></ul><p><br></p><p><strong>Qualifications</strong></p><ul><li><span>Diploma or Bachelor's degree in Data Analytics, Information Systems, Business Administration, or a related field.</span></li><li><span>2+ years of experience in data analysis, master data management, or pricing operations.</span></li><li><span>Advanced Excel proficiency (formulas, VLOOKUP/XLOOKUP, pivot tables, data cleansing).</span></li><li><span>Experience with ERP systems and master data / catalog management.</span></li><li><span>Strong analytical skills for detecting price discrepancies and identifying data patterns.</span></li><li><span>High attention to detail and numerical accuracy.</span></li><li><span>Strong organizational and time-management skills, with the ability to work under pressure.</span></li><li><span>Fluency in Arabic; good English proficiency for handling part descriptions and brands.</span></li></ul><p><br></p><p><strong>Nice to Have</strong></p><ul><li><span>Knowledge of auto parts or the automotive trade.</span></li></ul>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role: Head of Data &amp; AI Delivery</h3> <p style="margin:0 0 12px; ************;">Masterworks, an IT services company, is seeking an experienced leader to join its team in Riyadh as the <strong style="font-weight:700;">Head of Data &amp; AI Delivery</strong>. This full-time position is critical for driving and overseeing strategic Data &amp; AI initiatives within government, banking, or large enterprise environments.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview and Impact</h3> <p style="margin:0 0 12px; ************;">The successful candidate will lead cross-functional teams and manage the comprehensive delivery of Data &amp; AI programs. This role involves driving digital transformation initiatives that are closely aligned with business objectives, requiring strong leadership, strategic thinking, and deep expertise in data management, artificial intelligence, and enterprise transformation.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Lead and manage Data &amp; AI projects and delivery operations.</li> <li style="margin:0 0 6px;">Oversee project planning, execution, governance, risk management, timelines, and reporting.</li> <li style="margin:0 0 6px;">Manage multidisciplinary teams, including Data Engineers, Data Scientists, Analysts, and Project Managers.</li> <li style="margin:0 0 6px;">Ensure successful delivery of projects within defined scope, budget, and quality standards.</li> <li style="margin:0 0 6px;">Collaborate with executive stakeholders and business leaders to align delivery with strategic goals.</li> <li style="margin:0 0 6px;">Drive the adoption of Agile methodologies and modern project delivery practices.</li> <li style="margin:0 0 6px;">Manage relationships with vendors, partners, and other external stakeholders.</li> <li style="margin:0 0 6px;">Support enterprise digital transformation and data-driven initiatives.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Must be a Saudi National and eligible to work in Saudi Arabia.</li> <li style="margin:0 0 6px;">Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.</li> <li style="margin:0 0 6px;">A minimum of 8 years of experience in Project Management, Data Delivery, AI Programs, or Digital Transformation.</li> <li style="margin:0 0 6px;">Previous experience within Banking, Government, or Large Enterprise environments is highly preferred.</li> <li style="margin:0 0 6px;">Experience managing ministry or government leaders as stakeholders.</li> <li style="margin:0 0 6px;">Proven experience with risk and vendor management.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Skills and Certifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Demonstrated knowledge of Agile frameworks and enterprise project delivery.</li> <li style="margin:0 0 6px;">Professional proficiency in Arabic and excellent proficiency in English.</li> <li style="margin:0 0 6px;">Relevant professional certifications such as PMP, PMI-ACP, Scrum Master, SAFe Agile, or ITIL.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Information</h3> <p style="margin:0 0 12px; ************;">Masterworks invites qualified candidates to apply for this full-time position in Riyadh. Salary details will be discussed directly with candidates during the interview process.</p>

About the Role Design, implement, and manage integrated enterprise applications and data platforms that support JTC’s operations and strategic objectives, ensuring scalable systems and high-quality data, and leverage advanced analytics and AI to enhance business efficiency, innovation, and decision making.<br>Responsibilities1. Design and manage enterprise applications supporting JTC’s core operations and enabling functions.2. Ensure seamless system integration and scalability across platforms, aligned with JTC enterprise architecture.3. Oversee implementation and ongoing operation of information systems, including approval of functional and technical specifications.4. Maintain and enhance enterprise systems, continuously improving functionality, performance, and user experience.5. Enable data-driven decision-making through analytics, dashboards, and AI-enabled tools.6. Integrate data across systems and divisions, including third-party platforms.7. Lead technical data governance implementations initiatives in compliance with NDMO and regulatory requirements.8. Ensure data quality, integrity, and lifecycle management across all systems.9. Continuously optimize data and system capabilities to enhance business performance and efficiency.10. Leverage artificial intelligence (AI) capabilities to enhance analytics, automate processes, and improve decision-making.<br>Qualifications Bachelor Degree in relevant field or equivalent is required. A masters degree is a preferred. Minimum 8 - 10 years of experience within the same field, including at least 2 years in a managerial role. Experience in a relevant sector is preferred.<br>Professional Certifications Professional and academic certifications within a relevant field are preferred.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>We are looking for a motivated professional to join our team and take ownership of&nbsp;Supplier engagements with <strong>Retailers, eCommerce players and Vendor for Onboarding and BAU which includes Data compliance and improvements</strong>. In this role, you will work closely with suppliers, data governance, and project managers to strengthen relationships, improve data quality, and ensure service levels are met. You will be responsible for managing a portfolio of countries and retailers, driving measurable improvements in how we receive and use data.</p><br><p>This is a great opportunity for someone who enjoys working at the intersection of&nbsp;<strong>data, operations, and supplier engagement</strong>, and who wants to make a direct impact on business outcomes.</p><br><p><strong>Responsibilities</strong>:</p><br><ul><li>Monitor and report key performance indicators (KPIs), ensuring data receipt aligns with service level agreements (SLAs).</li><li>Partner with data analysts to review KPIs and lead conversations with suppliers to drive improvements.</li><li>Analyze data quality metrics and collaborate with suppliers to enhance accuracy and consistency.</li><li>Identify new opportunities to improve retailer data quality and work with the operations strategy team to bring these opportunities to life.</li><li>Build and maintain strong relationships with suppliers, acting as their main point of contact.</li><li>Support onboarding activities, including data quality testing, format alignment, and timeliness expectations.</li><li>Coordinate with local operations teams and project managers to finalize onboarding plans for new suppliers.</li><li>Handle escalations and queries from retailers, ensuring timely resolution and clear communication.</li><li>Contribute to system improvements, including SAP, transactional data handling, FTP/MFT setup, and retailer system changes.</li></ul><br>Qualifications<br><ul><li>Strong technical knowledge with the ability to interpret and apply data in a business context.</li><li>Excellent analytical, Presentation and problem‑solving skills.</li><li>Proficiency in Microsoft Office Suite (Excel, Word, Access, Outlook, PowerPoint).</li><li>Tech‑savvy, with exposure to different data and file formats.</li><li>Ability to understand and interpret diverse data structures and mapping.</li><li>Knowledge in Python, SQL is an added advantage.</li><li>Fluent in English, with strong communication skills and knowing Arabic is an advantage</li></ul><br>Additional Information<br><p><strong>Our Benefits</strong></p><br><ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul><p>NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/</p><br> <p><strong>About NIQ</strong></p><br><p>NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.</p><br><p>For more information, visit NIQ.com</p><br><p>Want to keep up with our latest updates?</p><br><p>Follow us on:&nbsp;LinkedIn&nbsp;|&nbsp;Instagram&nbsp;|&nbsp;Twitter&nbsp;|&nbsp;Facebook</p><br> <p><strong>Our commitment to Diversity, Equity, and Inclusion</strong></p><br><p>At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.&nbsp;&nbsp;All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.&nbsp;We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact.&nbsp;To learn more about our ongoing efforts in diversity and inclusion, please visit the&nbsp;https://nielseniq.com/global/en/news-center/diversity-inclusion</p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Senior Product Analyst – Data Monetization<br>About the role We are building digital platforms that turn data into products. These products are sold through APIs, subscriptions, and enterprise agreements, in a highly regulated environment. We are looking for a Saudi Senior Product Analyst to help turn business ideas into clear product requirements, and to measure how those products perform after launch. You will work daily with Product Managers, engineers, commercial teams, and legal and regulatory stakeholders.<br>What you will do Requirements and delivery Write clear functional requirements, user stories, and acceptance criteria from high-level product ideas. Keep the product backlog organized, and help the team decide what to build first. Answer questions from engineers during sprint planning and development. Run User Acceptance Testing (UAT) and confirm that delivered features match the agreed requirements. Product performance Track how customers use the product: adoption, active users, transaction volumes, and revenue. Build and maintain dashboards that show product health to the team and to leadership. Find patterns, gaps, and improvement opportunities in the data, and turn them into recommendations. Run post-release analysis after each launch and share what worked and what did not. Market and customer insight Research competitors, market trends, and customer needs. Collect and organize customer feedback from commercial teams and turn it into product improvements. Prepare business cases and reports that help leadership decide where to invest. Compliance Make sure product requirements follow PDPL (Saudi Personal Data Protection Law), internal data governance rules, cybersecurity standards, and sector regulations.<br>What we are looking for (required)2–4 years of experience in Product Analysis, Business Analysis, Product Management, or Data Analysis for digital products. Bachelor's degree in MIS, IT, Software Engineering, Computer Science, Business Administration, or a related field. Proven ability to write clear requirements and user stories that engineers can build from. Strong analytical and problem-solving skills. Working knowledge of SQL and at least one BI tool (Power BI, Tableau, Looker, or similar). Experience working in Agile or Scrum teams. Professional written and spoken English. Arabic is required.<br>Nice to have Certification in Business Analysis (ECBA, CCBA, CBAP) or Product Management. Experience with API-based platforms or data products. Background in government, fintech, or enterprise data environments. Practical knowledge of data monetization models such as APIs, subscriptions, and bundled offerings. Experience working under PDPL or similar data privacy regulations.

<h3 >About The Chefz and the Role</h3> <p >The Chefz is seeking a <strong >Senior Quality Specialist</strong> to join its team in <strong >Riyadh, Saudi Arabia</strong>. This full-time position is central to enhancing customer experience by driving data-led quality improvements across key operational domains. The role requires a professional with 5-10 years of experience in relevant fields.</p> <h3 >Role Purpose and Impact</h3> <p >The Senior Quality Specialist will lead deep-dive data analysis and root-cause analysis for an assigned domain, which may include Partners/Restaurant operations or Logistics/Drivers. This involves identifying the most significant cost and quality drivers, designing and piloting effective corrective actions, and mentoring a Data Analysis Specialist. The ultimate goal is to transform operational and service data into prioritized, measurable improvement opportunities that safeguard and enhance the customer experience.</p> <h3 >Key Responsibilities</h3> <ul > <li >Own exploratory data analysis (EDA) and root-cause analysis (RCA) for the assigned domain, analyzing operational and service events by service, attribution, reason code, geography, and time.</li> <li >Quantify each root cause and score its impact versus effort; build and maintain the prioritized RCA backlog for the domain.</li> <li >Design corrective actions with predicted impact, run pilots with control groups where feasible, and measure results against targets and customer-experience metrics (CSAT, retention, loyalty).</li> <li >Identify process anomalies and abuse patterns that contribute to avoidable costs within the domain, while ensuring the protection of genuine customers and their experience.</li> <li >Contribute to improvements in automated decision and service logic thresholds and accuracy in collaboration with Technology and Product teams, aiming for correct outcomes by default.</li> <li >Ensure correct data attribution and integrity, and maintain domain baselines and dashboards.</li> <li >Mentor and review the work of the Data Analysis Specialist and support the Supervisor in target-setting.</li> <li >Present findings, opportunities, and recommendations to the Supervisor and Team Lead, and partner with the Customer Experience team.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >5-10 years of relevant professional experience.</li> <li >A background in FMCG, food delivery, q-commerce, or retail.</li> <li >Domain exposure to restaurant operations or logistics/last-mile is a strong advantage.</li> </ul> <h3 >Essential Skills</h3> <ul > <li >Solid understanding of customer-experience and satisfaction drivers.</li> <li >Ability to effectively balance cost-efficiency with customer satisfaction (CSAT), retention, and loyalty.</li> <li >Comfortable working with large transactional datasets.</li> </ul> <h3 >Work Environment and Application</h3> <p >This is a full-time position based in Riyadh, Saudi Arabia. Salary details for this role will be discussed during the interview process.</p>

AFCS Consultant. Location : Riyadh, KSAExperience : 5+ Years Job Requirements:Implement and configure Oracle Accounting Foundation Cloud Service (AFCS/OFS AFS) for financial data sourcing, processing, and reporting. Gather and analyze functional requirements for accounting, finance, and regulatory reporting. Design and configure data models, ledgers, financial hierarchies, and accounting rules. Code maintenance and trouble shooting errors Perform data mapping, ETL validation, and reconciliation between source systems and OFS AFS. Collaborate with technical teams for integration with upstream/downstream systems (GL, ERP, Risk systems). Support regulatory and financial reporting requirements (IFRS, GAAP, Basel, etc.). Lead testing (SIT/UAT), defect resolution, and ensure quality delivery of solutions. Skills:Strong knowledge of Oracle OFS AFS / Accounting Foundation Cloud Service architecture and modules. Experience in financial accounting concepts (GL, sub-ledger accounting, IFRS/GAAP standards). Hands-on in data mapping, data lineage, reconciliation, and financial data processing. Understanding of ETL processes and integration frameworks. Strong knowledge of SQL, PLSQL coding Expertise in functional documentation (BRD, FSD) and business analysis. Strong problem-solving, stakeholder management, and communication skills.