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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Title:</b></p><p><b>Data Entry Specialist (for Individuals with Disabilities)</b></p><p><b>Responsibilities:</b></p><p><b>Data entry accurately and quickly into dedicated systems.</b></p><p><b>Reviewing data and ensuring its accuracy before saving.</b></p><p><b>Interacting with office software such as Microsoft Office (Word, Excel).</b></p><p><b>Updating data regularly according to guidelines.</b></p><p><b>Collaborating with the team to ensure smooth workflow.</b></p><p><b>Requirements:</b></p><p><b>The applicant must be an individual with disabilities (with proof of disability if necessary).</b></p><p><b>Ability to use a computer and data entry software effectively.</b></p><p><b>Good communication skills to work within a team.</b></p><p><b>No experience is required in some cases, but previous experience in data entry is preferred.</b></p><p><b>Benefits:</b></p><p><b>Monthly salary: 4400 Riyals</b></p><p><b>Medical and social insurance.</b></p><p><b><u>A supportive and suitable work environment for individuals with disabilities.</u></b></p><p>Annual paid leave.</p><p><br></p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Data Entry Specialist </p></div>

<ul><li>Design and implement scalable, secure, and cost-effective data and AI architectures that align with business objectives.</li><li>Translate complex business requirements into robust technical solutions, leveraging cloud platforms and AI/ML technologies.</li><li>Lead the evaluation and selection of appropriate data platforms, AI tools, and MLOps strategies to drive innovation.</li><li>Develop and maintain architectural blueprints, data models, and technical roadmaps for data and AI initiatives.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s in computer engineering (or equivalent).</p></li><li><p>15+ years of progressive experience in data architecture and governance. </p></li><li><p>Enterprise data architecture and extend it to AI and MLOps capabilities to enable trusted analytics and scalable AI delivery. </p></li><li><p>Proven expertise in designing and deploying AI/ML models in production environments.</p></li><li><p>Hands-on experience with major cloud platforms (AWS, Azure, GCP) and their data/AI services.</p></li></ul>

Job Purpose<br>The Data Privacy Manager is responsible for leading the organization's data privacy program in alignment with the Personal Data Protection Law (PDPL) of Saudi Arabia and other applicable regulations. The role serves as the operational owner of the privacy framework and Data privacy platform , and ensuring that personal data processing activities across the organization meet regulatory requirements, contractual obligations, and internal privacy standards.<br>Duties & Responsibilities<br>Privacy Program & Governance<br>Operate and maintain the organization-wide data privacy program in line with PDPL, SDAIA regulations, and applicable cross-border data transfer requirements. Develop, maintain, and review privacy policies, procedures, standards, and notices. Maintain the Record of Processing Activities (ROPA) and ensure it remains accurate across all business units. Manage data classification, retention, and minimization controls in coordination with the data management and information security functions. Track regulatory developments (PDPL, SDAIA, NDMO, sector-specific guidance) and translate them into actionable internal requirements.<br>Privacy Operations Conduct and oversee Data Protection Impact Assessments (DPIA) and Privacy Impact Assessments (PIA) for new and existing processing activities. Manage the data subject rights (DSR) request lifecycle, including intake, validation, fulfilment, and reporting within regulatory timeframes. Lead the privacy incident response process, including breach assessment, notification to SDAIA and affected individuals, and post-incident remediation. Manage and operationalize Data Privacy technical platform .<br>Education & Experience<br>Working knowledge of the Saudi PDPL, SDAIA regulations, NDMO data management policies, and applicable sector regulations. Familiarity with international privacy frameworks (GDPR, CCPA, ISO 27701, NIST Privacy Framework). Strong understanding of personal data lifecycles, lawful processing bases, cross-border data transfer mechanisms, and privacy-by-design principles. Practical knowledge of privacy-enhancing technologies (PETs), pseudonymization, anonymization, and data masking. Understanding of how privacy controls integrate with information security, IAM, DLP, and data governance functions. Strong analytical, drafting, and stakeholder management skills. Strong understanding or market Data privacy tooling and solutions Ability to translate regulatory requirements into operational controls and platform configurations.<br>Required Skills<br>High level of Arabic and English both written and oral. Knowledge of IT & Cybersecurity High level of communication skills Expert in Microsoft Office such as Power Point and Excel<br>Specialized Knowledge and Certificates:<br>One or more of the following is required: CIPM, CIPP/E, CIPP/US, CDPO, or equivalent. CIPT, CISM, CISSP, or ISO 27701 Lead Implementer/Auditor are an advantage.

About the role:<br>Acuative is hiring a Senior Data Privacy Consultant to be embedded within the Personal Data Protection (PDP) function of a leading research university in Saudi Arabia. You will act as a hands-on extension of the DPO's team, running the day-to-day privacy operations program and strengthening the organization's compliance posture under the Saudi Personal Data Protection Law (PDPL) and SDAIA regulations. This is an operational role, not an advisory-only role. You will facilitate workshops with business units, populate and validate compliance artifacts, run assessments, manage incidents, and coach internal privacy champions so the organization becomes self-sufficient over time.<br>What you will do:<br>Records of Processing Activities (RoPAs) Identify business units and processing activities without RoPAs and build them through stakeholder workshops. Validate and update existing RoPAs with process owners, and secure sign-off from BU Heads and the DPO. Data Protection Impact Assessments (DPIAs) Develop or apply a process gating methodology to screen all processing activities and flag high-risk ones. Conduct DPIAs on high-risk activities, identify privacy risks and controls, assign risk and control owners, and obtain sign-off. Record all identified risks in the GRC platform and track them to closure. Third-Party Privacy Risk Management Identify data processors not yet subject to due diligence and build a High/Medium/Low risk tiering methodology. Assess high-risk processors, prescribe corrective actions and timelines, and coordinate with Procurement and the relevant BUs. Review vendor security controls in Data Processing Agreements (DPAs), perform transfer risk assessments, and embed required controls into DPAs and KSA Standard Contractual Clauses. Develop template security controls by contract type with Information Security, and update guidance for researchers on securing human subject research data. Data Breach Management Support the DPO on privacy incidents end to end: containment, root cause analysis, mitigation, and coordination with Cyber Incident Response, Legal, Communications, and HR. Support regulatory breach notifications and responses to SDAIA inquiries. Privacy Hub and Spoke Model Run workshops with BU Heads to appoint Privacy Champions across the organization. Define the Privacy Champion role (responsibilities, expectations) and secure management sign-off. Deliver 1-1 training to champions and manage a structured handover of privacy activities, with three months of SME support post-transition. Data Subject Rights (DSR) Handle DSR requests end to end: intake, register logging, validation, internal coordination, response, and closure. Identify and fix process bottlenecks in the DSR workflow. Data Minimization, Privacy Notices, and Retention Conduct data minimization reviews on intake forms, data sharing proposals, transfer risk assessments, and DPIAs. Review and update privacy notices based on RoPA and DPIA findings, changes in lawful basis, consent management, and legitimate interest procedures; draft new notices where needed. Review retention schedules against PDPL requirements and support process owners and technical stewards in setting compliant retention periods and technical SOPs for deletion. Privacy Training Develop and deliver specialized on-site privacy training for units and build online training modules. Ad-hoc Support Any other privacy tasks requested by the PDP function and the DPO.<br>What we are looking for:<br>Required:6+ years in data privacy, data protection, or GRC roles, with at least 2 years of hands-on operational privacy work (not purely policy or advisory). Deep working knowledge of the Saudi PDPL, its Implementing Regulations, the Data Transfer Regulations, and SDAIA guidance. Familiarity with GDPR is a strong plus. Proven experience building and maintaining RoPAs, conducting DPIAs, and running third-party privacy risk assessments. Experience managing personal data breaches, including regulatory notification. Experience handling Data Subject Rights requests and maintaining a DSR register. Strong workshop facilitation and stakeholder management skills across business, legal, IT, security, and procurement teams. Ability to draft clear compliance documentation: DPAs, SCCs, privacy notices, retention schedules, role definitions, and training material. Fluent English, written and spoken. Willingness to work on-site full-time in Thuwal, KSA.<br>Preferred:<br>CIPP/E, CIPM, CIPT, or equivalent privacy certification. Experience with GRC platforms (e.g., Service Now GRC, One Trust, Archer) for risk logging and tracking. Background in higher education, research institutions, or other environments handling human subject research data. Arabic language proficiency. Experience with information security frameworks (ISO 27001, NCA ECC) and reviewing technical security controls in vendor contracts.

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.<br><br>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br><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. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. 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><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Educational Qualifications<br><br>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required) Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, 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)<br><br>Additional Requirements<br><br>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

<p>Responsible for the systematic collection of vibration data from rotating equipment using various vibration data collectors, ensuring accurate and reliable data acquisition to support predictive maintenance and equipment reliability programs.</p><p><strong>Desired Candidate Profile</strong></p><p>Diploma or Technical Certificate with minimum Five (5) years of experience as a Vibration Monitoring Technician or Condition Monitoring Technician . in Oil &amp; Gas Processing Plants , Petrochemical Plants, Refineries, LNG Facilities, or similar heavy industrial facilities.</p>

<h3 >About Almosafer</h3> <p >Almosafer is Saudi Arabia’s leading travel company, actively shaping the future of the travel industry. Serving millions across every segment of the travel and tourism ecosystem, Almosafer aims to make every journey seamless, personal, and purposeful, reflecting its name, which means "the traveler." The company’s diverse platforms and services are designed to deliver enriching experiences that resonate with the spirit of Saudi Arabia and the wider region. Almosafer’s vision is to be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.</p> <h3 >About the Role</h3> <p >Almosafer is seeking a <strong >Specialist Data Intelligence</strong> to join its Data Intelligence team. In this full-time role, based in <strong >Riyadh, Saudi Arabia</strong>, you will function as a Commercial Data Analyst. The primary responsibility involves leveraging Almosafer's comprehensive travel commerce data, including bookings, customer, pricing, supplier, and revenue information, to generate actionable insights. These insights will inform business strategy, optimize commercial performance, and enable data-driven decision-making across key departments such as Sourcing, Revenue Management, Product, Sales, and Marketing. This position requires 2-5 years of relevant experience.</p> <h3 >Key Responsibilities</h3> <ul > <li >Explore and analyze in-house datasets, including transactional, sourcing, connectivity, and competitive intelligence, to generate meaningful insights.</li> <li >Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities that drive revenue and margin improvement.</li> <li >Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.</li> <li >Translate data findings into clear, concise, and actionable insights and business recommendations.</li> <li >Present analysis to stakeholders using visualizations and storytelling to support strategic decisions and achieve impactful results.</li> <li >Contribute to the development and evolution of Commercial Data Products by providing insights, testing hypotheses, and validating assumptions.</li> <li >Help shape KPIs, reporting metrics, and dashboards aligned with business goals.</li> <li >Proactively suggest opportunities for optimization and process improvement using data insights, and stay updated with industry trends and analytics tools.</li> <li >Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales &amp; Marketing) to understand their data needs and deliver impactful analytical solutions.</li> <li >Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics.</li> <li >Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams.</li> <li >Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies, and drive data literacy and analytical best practices across teams.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >2-5 years of experience in a data analysis or business intelligence role, preferably within a commercial or travel industry context.</li> <li >Demonstrated ability to explore and analyze complex datasets to generate actionable insights and identify business opportunities.</li> <li >Proficiency in designing and implementing automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms.</li> <li >Strong communication skills to translate data findings into clear recommendations and present them effectively to diverse stakeholders.</li> <li >Experience collaborating with cross-functional teams and acting as a mutual data partner and advisor.</li> <li >Understanding of enterprise data governance and quality standards.</li> </ul> <h3 >Working at Almosafer</h3> <p >At Almosafer, teams operate with purpose, clarity, and a shared commitment to accountability, trust, and collaboration. The company fosters a purpose-led workplace where individual ideas can create real impact. Almosafer supports ongoing learning and development to facilitate professional growth and provides recognition for achievements. The work environment is built on a community of trust, curiosity, and shared momentum, offering space for individuals to connect and contribute meaningfully.</p> <h3 >Location and Work Type</h3> <p >This is a full-time position located in Riyadh, Riyadh, Saudi Arabia.</p>

<p>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p><p>What We Do The Mindrift platform connects specialists with innovative technology projects. 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.</p><p>About the Role This is a freelance role for a Tendem project. As a 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.</p><p>Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</p><p>Project time expectations For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p><strong>Desired Candidate Profile</strong></p><h2>Educational qualifications</h2><p>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><h2>Academic and/or Professional Experience</h2><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><h2>Technical Skills (Essential)</h2><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><h2>Additional requirements</h2><ul><li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Data Analyst supports Operations across both Manufacturing and Logistics by transforming data into meaningful insights that drive informed decision-making. This role requires strong analytical capabilities, proficiency in statistical modeling, and expertise in business intelligence tools to help optimize operational performance. The Data Analyst collaborates with cross-functional teams to identify trends, evaluate operational metrics, and develop actionable insights that support strategic initiatives and improve business outcomes. Responsibilities include analyzing large datasets, building dashboards and reports, and providing leadership with clear, data-driven recommendations. Success in this role requires a strong technical foundation, attention to detail, and the ability to communicate complex information in a clear and concise manner. The ideal candidate thrives in a fast-paced environment and is passionate about using data to solve operational challenges and enhance organizational performance.</p><p>Key Responsibilities:</p><ul><li>Gathering business data and reporting requirements from stakeholders, business owners and users from the Manufacturing domain for metrics used to monitor business performance.</li><li>Making large and/or complex data more accessible, understandable and usable.</li><li>Analyze complex data sets to identify patterns, trends, and insights for all operational teams.</li><li>Transforming, improving, and integrating data, depending on the business requirements.</li><li>Develop and maintain robust dashboards, reports, and visualizations to communicate findings to stakeholders at all levels.</li><li>Report findings and recommendations to leadership, translating complex analyses into clear, actionable insights.</li><li>Collaborate with various departments to define key performance indicators (KPIs) and metrics to automate reporting tools &amp; techniques.</li><li>Conduct advanced statistical analyses and modeling to support business forecasting and scenario planning.</li><li>Ensure data integrity and accuracy by implementing best practices in data management and governance.</li><li>Visualize performance data in LUCID standard live dashboards formats.</li><li>Stay up to date with industry trends and best practices in data analytics and visualization tools.</li><li>Connecting to various systems and a data warehouse to deliver the data in a useful and appealing way to users.</li><li>Access technical capabilities of the data framework to deliver data from a latency and accessibility perspective (laptop, mobile, TVs, etc.) and provide technical solutions as needed.</li></ul><p>Skills:</p><ul><li>Strong analytical and problem-solving skills, with the ability to interpret complex data and identify actionable insights.</li><li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li><li>Demonstrated project management abilities, including the ability to prioritize tasks, manage timelines, and allocate resources effectively.</li><li>Ability to deep-dive data from both a top-down and bottom-up approach.</li><li>Ability to think strategically and communicate strategies effectively.</li><li>Experience in the Automotive Industry (OEM or Tier 1 Suppliers).</li><li>Experience working in a dynamic/start-up environment is a plus.</li><li>Flexibility in the work schedule is required (to include evenings and weekends, as needed).</li><li>Advanced skills in Python or other general-purpose programming language, Microsoft office advanced user.</li><li>Working knowledge of Smartsheet, SAP, JIRA, Tableau, and any costing software.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in engineering, Supply Chain, Finance, Data Science, or equivalent experience in a related field.</li><li>3-5+ years of experience in data analytics, reporting, visualization, Python, etc.</li><li>Advanced degree in a relevant field.</li><li>Experience with complex analysis and data analytics in a Manufacturing context.</li><li>In-depth understanding of automotive Interior market dynamics and performance reporting mechanisms.</li><li>Competency with SQL, Tableau and other data visualization software.</li><li>Ability to manage multiple priorities and make strategic decisions.</li><li>Creative problem-solver with calculated risk-taking ability.</li><li>Experience in supplier relationship management and dispute resolution.</li><li>Knowledge of automotive industry trends and emerging technologies in Interior components.</li><li>Cost Engineering experience.</li><li>Start-up working experience is a plus.</li></ul><p></p></section>

Sports Data Collector (Sports Scout)<br><br>Independent Contractor | Paid per game<br><br>Please note: All CVs are required to be submitted in English.<br><br>Love sports? Turn your passion into paid experience.<br><br>Genius Sports is a global sports technology company powering official live data for the world's biggest leagues, federations, and media platforms.<br><br>We're recruiting Sports Data Collector (Sports Scout) to attend live sporting events and collect real-time, play-by-play data using our proprietary software.<br><br>What you'll do<br><br>Attend live sports events in your local area from Saudi Arabia Pro League and lower profile competitions Record accurate, real-time game data (scores, plays, key events) Use mobile technology in a fast-paced, live environment <br><br>What we're looking for<br><br>Strong knowledge of the sport Reliable, detail-oriented, and organized Availability on evenings and weekends 18+ years old <br><br>What we offer<br><br> Fixed payment per game – 62 € Travel & Ticket Reimbursement Flexible, game-based work Training and testing provided <br><br>Interested?<br><br>Tell us a bit about yourself and we'll be in touch.<br><br>???? Learn more about our Statisticians Network:<br><br>https://www.geniussports.com/careers/statisticians-network/<br><br>Genius Sports is an equal opportunities employer.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Data Entry Specialist is responsible for entering and updating data in company systems accurately and promptly, ensuring the correctness and safety of the information. Additionally, the role involves organizing records and files, preparing basic reports, and coordinating with various departments to ensure the availability of necessary data to support operational workflows.</p><p><b>Responsibilities</b></p><ul><li>Inputting and updating data in company systems accurately and swiftly.</li><li>Reviewing data and ensuring its accuracy before approval.</li><li>Organizing and maintaining physical and electronic files and records.</li><li>Extracting simple reports as needed.</li><li>Coordinating with various departments to complete or correct data.</li><li>Maintaining the confidentiality of information and adhering to company policies.</li><li>Reporting any errors or incomplete data to the relevant authority.</li><li>Utilizing Microsoft Office programs and company systems (such as SAP) for data entry and management.</li><li>Executing any other administrative tasks assigned by the direct supervisor.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ol><li>Basic computer skills and data entry proficiency.</li><li>Fundamental knowledge of Microsoft Office programs, especially Excel.</li><li>Attention to detail.</li><li>Ability to follow instructions and work procedures.</li><li>Basic communication skills.</li><li>Ability to organize files and records.</li><li>Willingness to learn and develop.</li><li>Ability to work independently and as part of a team.</li></ol></div>

<p><strong>Title: </strong>Business Data Automation &amp; AI Senior Manager</p><p><strong>Department: </strong>Corporate Banking - Data Management</p><p><strong>Location: </strong>Riyadh</p><p><br></p><p><strong>Core Responsibilities:</strong></p><p><br></p><ul><li>Strengthens CIB's reporting foundation by maximizing automation of business and regulatory reports, reducing manual effort, operational risk and turnaround time.</li><li>Drives the Business-side enablement of AI capabilities within CIB, working within the Bank's AI governance framework and Central Bank regulatory requirements, positioning CIB to capture efficiency gains and new analytics-driven insights.</li><li>Improves data quality and consistency across downstream reporting and analytics platforms, unlocking more reliable, data-driven decision-making for CIB business heads.</li><li>Provides critical delivery capacity to the CIB Data Management function, supporting the Senior Data Management Manager across regulatory, governance and transformation priorities.</li><li>Own and drive the CIB business agenda for the adoption and scaling of Artificial Intelligence (AI) and advanced analytics use cases across Corporate &amp; Institutional Banking.</li><li>Identify and prioritize use cases, build the business case, define business requirements, and drive execution in close partnership with IT, DMO and the relevant governance functions.</li><li>Own and maintain the CIB AI enablement roadmap: prioritize use cases by business value, track delivery progress, resolve roadblocks, and escalate cross-functional dependencies to Senior Management.</li><li>Ensure every AI/ML solution deployed within CIB complies with the Bank's AI governance framework and Central Bank regulations, including model risk, responsible/ethical AI use, and data privacy requirements.</li><li>Lead the automation of manual queries and legacy workbooks into sophisticated, production-grade business and regulatory reports using EDW and BI tools (e.g. Tableau, Denodo).</li><li>Design and execute complex queries to extract large-scale data from the core banking infrastructure (HUB) and the Enterprise Data Warehouse (EDW).</li><li>Seamlessly prepare business and regulatory reports and ensure timely submission.</li><li>Actively uncover data inconsistencies, anomalies and gaps across consuming downstream systems to improve data quality and enable CIB to unlock higher returns through improved data quality.</li><li>Driving Data Management, Analytics and AI-enablement projects jointly with IT, from business case preparation through requirements, architecture, delivery, testing and lifecycle sustainment.</li><li>Act as the primary liaison between CIB Business, IT, DMO translating broad business strategic imperatives into clearly scoped technical frameworks, analytics solutions and metrics.</li><li>Maintain precise program estimations, build roadmaps and communicate ongoing project status and timelines to key business heads.</li><li>Manage projects through JIRA / Confluence, ensuring transparent tracking and stakeholder visibility.</li></ul><p><br></p><p><strong>Qualifications and Requirements:</strong></p><p><br></p><ul><li>Python and expert-level SQL for data extraction, manipulation and query optimization.</li><li>Practical experience applying machine learning and statistical modelling techniques; working knowledge of AI/GenAI tools and their responsible deployment within a regulated banking environment.</li><li>Strong hands-on proficiency with Denodo for connecting heterogeneous data sources.</li><li>Advanced dashboard design and data modelling using Tableau and Power BI to create intuitive executive readouts.</li><li>Expert competency with Alteryx / Tableau Prep for rapid workflow automation and data preparation.</li><li>Practical knowledge of Core Banking Systems (e.g., HUB, AS400) and Enterprise Data Warehouses (EDW); familiarity with Collibra is highly advantageous.</li><li>Hands-on experience managing projects through JIRA / Confluence.</li><li>Deep understanding of CIB products and value chains (trade finance, cash management, lending, treasury).</li><li>Proven background in financial services, corporate banking, or data management environments, at a senior/managerial level.</li><li>Demonstrable experience leading or playing a principal role in large-scale change and transformation programs centered on data infrastructure, enterprise analytics or AI enablement.</li></ul><p><br></p><p><br></p>

<h3 >About the Role</h3> <p >Alfanar is seeking an experienced <strong>SAP Data &amp; Analytics Services Team Lead</strong> to join our team in Riyadh, Saudi Arabia. This full-time role is central to driving the delivery and execution of enterprise data and analytics solutions. The successful candidate will oversee BI, analytics, and data infrastructure teams, ensuring the provision of accurate, integrated insights and the alignment of data initiatives with overarching business goals. This position requires 5-10 years of relevant experience.</p> <h3 >Key Responsibilities</h3> <ul > <li >Define and drive the overall data and analytics strategy, ensuring alignment with the organization’s vision, mission, and strategic objectives.</li> <li >Lead the development and execution of enterprise-wide data initiatives, integrating BI, analytics, and data infrastructure functions.</li> <li >Champion a data-driven culture by promoting the use of analytics in decision-making across business units.</li> <li >Oversee the design, development, and delivery of dashboards, reports, and visualizations that provide actionable insights.</li> <li >Guide the development of advanced analytics models and ensure their alignment with business needs.</li> <li >Ensure robust architecture and governance of data warehouses and data lakes to support scalable and secure data operations.</li> <li >Act as the primary liaison between the data &amp; analytics function and business stakeholders to ensure alignment of data initiatives with business priorities.</li> <li >Translate complex data concepts into business-friendly language to support executive decision-making.</li> <li >Evaluate and implement emerging technologies and tools to enhance data capabilities across the organization.</li> <li >Foster innovation by encouraging experimentation with new data methodologies, tools, and platforms.</li> <li >Establish and enforce data governance frameworks, policies, and standards to ensure data integrity, security, and compliance.</li> <li >Monitor data quality across systems and lead initiatives to improve data accuracy and reliability.</li> </ul> <h3 >Leadership and Team Development</h3> <ul > <li >Recruit, recognize, and cultivate high performers, providing opportunities for growth to build a robust second line of management.</li> <li >Identify low performers and provide guidance for improvement or manage their release.</li> <li >Ensure fair and equal treatment of all subordinates without discrimination.</li> <li >Assess subordinates based on performance that leads to planned results.</li> <li >Ensure the availability of a delegation of authority matrix to provide sufficient delegations as per company policy.</li> </ul> <h3 >Operational Accountability and Strategic Impact</h3> <ul > <li >Take full responsibility for operations and deliverables as per the job description and company guidelines.</li> <li >Anticipate potential problems and implement proactive steps to prevent them.</li> <li >Make necessary and proper decisions in a timely manner.</li> <li >Deliver required results with specified quality and cost efficiency.</li> <li >Make a tangible difference in the area of operation, exceeding business expectations.</li> <li >Transform corporate goals into actionable business plans, then plan, follow up, and execute these plans.</li> <li >Monitor plan performance, initiate actions to strengthen results, and take corrective measures as needed.</li> <li >Provide periodic work progress reports.</li> <li >Monitor and control budgets and expenses to achieve optimum cost efficiency.</li> <li >Develop the organizational structure according to current requirements, considering future and development plans.</li> <li >Ensure job descriptions are available and deployed for all job roles.</li> <li >Develop and coordinate well-defined written systems, policies, and procedures, seeking automation opportunities.</li> <li >Be conversant with and able to navigate IT solutions relevant to the job and business.</li> <li >Promote and fully utilize automated systems to foster a culture of digital adoption.</li> <li >Uphold quality as Alfanar’s prime competitive advantage in all actions and decisions.</li> </ul> <h3 >Required Experience</h3> <ul > <li >A minimum of 5 to 10 years of experience in a relevant field.</li> </ul> <h3 >Join Our Team</h3> <p >If you are a results-oriented leader with a strong background in SAP data and analytics, we encourage you to apply and contribute to Alfanar's strategic objectives in Riyadh.</p>

<h3 >About the Role at Hummus Refi</h3> <p >Hummus Refi is seeking a dedicated <strong >Data Entry Specialist</strong> to join our team. This is a full-time, on-site position based in Jeddah, within the Makkah region. The successful candidate will be responsible for maintaining the accuracy and integrity of critical company data across various systems.</p> <h3 >Role Overview</h3> <p >The Data Entry Specialist plays a crucial role in ensuring that all company information, including customer details, order specifics, inventory records, and administrative documents, is accurately entered, updated, and meticulously maintained. This position requires a high level of attention to detail and a commitment to data security within a fast-paced environment.</p> <h3 >Key Responsibilities</h3> <ul > <li >Review data for completeness and accuracy before entry into company systems.</li> <li >Perform routine data audits and collaborate with relevant team members to resolve any discrepancies.</li> <li >Operate and utilize various computer-based applications for data management.</li> <li >Organize and maintain both digital and physical records efficiently.</li> <li >Provide up-to-date information and support to customer-facing teams as needed.</li> <li >Collaborate effectively with colleagues to ensure smooth data flow and operational efficiency.</li> <li >Adhere strictly to established data entry procedures and guidelines.</li> <li >Maintain strict confidentiality and ensure data security at all times.</li> </ul> <h3 >Qualifications and Requirements</h3> <ul > <li >Ability to perform repetitive tasks with consistent focus and accuracy.</li> <li >Strong time management skills and the ability to meet deadlines in a dynamic environment.</li> <li >Previous experience (0-1 years) in data entry, administration, or a related field is preferred but not strictly required.</li> </ul> <h3 >Work Location and Type</h3> <p >This is a <strong >full-time, on-site</strong> position. The successful candidate will be required to work from our facilities located in <strong >Jeddah</strong>, within the Makkah region.</p> <h3 >Application Information</h3> <p >Candidates who meet the above criteria are encouraged to apply. Salary details for this position will be discussed during the interview process.</p>

<p>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p><p>This is a freelance role for a Tendem project. As a 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.</p><p><strong>Key Responsibilities</strong></p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Technical Skills (Essential)</strong></p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p><strong>Additional requirements</strong></p><ul><li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p><strong>Desired Candidate Profile</strong></p><h2>Educational qualifications</h2><p>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><h2>Academic and/or Professional Experience</h2><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br></p><p>The Master Data Administrator is responsible for managing, maintaining, and improving Avnzor's supplier product catalogue of approximately <b>50,000 SKUs</b>. The role ensures that all product information is accurate, complete, structured, validated, and ready for use across the company's website, mobile application, ERP, WMS, marketplaces, and internal systems.</p><p>Key responsibilities include maintaining product master data, creating and updating product records, validating data quality, onboarding new products, preparing and executing bulk uploads, managing pricing and product classifications, supporting eCommerce and marketplace listings, generating catalogue reports and dashboards, and collaborating with cross-functional teams to ensure data accuracy and operational efficiency.&nbsp;</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><ul><li>&nbsp;Advanced proficiency in <b>Microsoft Excel</b>, including XLOOKUP, VLOOKUP, INDEX/MATCH, Pivot Tables, Power Query, Conditional Formatting, Data Validation, and large dataset reconciliation.</li><li>Advanced <b>Google Sheets</b> skills, including Query and Import functions.</li><li>Strong experience in data cleansing, validation, consolidation, reconciliation, and analysis of large datasets (20,000–50,000+ records).</li><li>Experience with ERP, WMS, PIM, Shopify, or other eCommerce platforms.</li><li>Strong analytical, numerical, and problem-solving skills.</li><li>Excellent attention to detail with a focus on data accuracy and quality.</li><li>Ability to manage high-volume catalogue requests and prioritize multiple tasks.</li><li>Strong organizational, communication, and stakeholder management skills.</li><li>Ability to work independently and collaboratively within cross-functional teams.</li><li>Bachelor's degree in Business Administration, Information Systems, Supply Chain, Data Management, or a related field.</li><li>2–4 years of experience in Master Data, Catalogue Management, Product Information Management (PIM), eCommerce Operations, or Buying Support.</li><li>English proficiency is required; Arabic is preferred.&nbsp;&nbsp;</li></ul><p><br></p><p><br></p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Make a real impact? Help shape experiences that transform how people connect, celebrate, and engage with events? Are you excited to work with a team that challenges the status quo, breaks away from the ordinary, and builds what's next? If yes, you're in the right place. webook.com is one of the leading event ticketing and experience platforms, known for its innovation, agility, and ability to scale. We've powered some of the largest events in the region, with over 2 billion SAR in ticket sales and now we're expanding globally.</p><p>Overview</p><p>We are seeking an Advertising Data &amp; Insights Manager to lead data-driven decision-making within webook.com s Advertising &amp; Brand Partnerships function. This role will be responsible for transforming advertising performance data into clear insights, actionable recommendations, and compelling reporting that supports both internal strategy and advertiser confidence.</p><p>Key Responsibilities</p><ul><li>Extract, analyze, and interpret data from Ad servers App &amp; web analytics Campaign performance reports</li><li>Build and maintain dashboards and reporting frameworks</li><li>Handle advertiser and partner data requests with speed and accuracy</li><li>Track and analyze key metrics including: Viewability Completion rates Revenue by format, market, and partner</li><li>Provide insights that support: Campaign optimization Revenue growth Strategic decision making</li><li>Translate complex data into clear, business-friendly insights</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>4 6 years of experience in data analytics, digital advertising analytics, or business intelligence</p><p>Strong proficiency in tools such as:</p><ul><li>Excel / Google Sheets</li><li>SQL (preferred)</li><li>BI tools (e.g., Tableau, Power BI, Looker)</li></ul><p>Experience working with advertising data (GAM, programmatic, or similar)</p><p>Strong analytical mindset with attention to detail</p><p>Ability to communicate insights clearly to non-technical stakeholders</p><p></p></section>

<p>As a Data Analyst II at HungerStation, you will support the product development lifecycle by analyzing data, understanding user needs, and providing actionable insights that help optimize product performance. You will work closely with Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams to turn data into meaningful insights and support data-driven decision-making.</p><p>In this role, you will:</p><ul><li>Analyze product and business data to understand growth drivers and identify opportunities for improvement.</li><li>Develop analyses, reports, and interactive dashboards to support business teams and stakeholders.</li><li>Use quantitative analysis to uncover insights and help Product Managers, Designers, and Engineers understand what to build and why.</li><li>Work with structured and semi-structured data from multiple sources, including BigQuery, Redshift, and PostgreSQL.</li><li>Use SQL (BigQuery) and Python or R to extract, process, and analyze large datasets.</li><li>Design and analyze A/B tests by defining hypotheses, setting up experiments, and evaluating results using statistical methods.</li><li>Own data projects from data collection through to operationalization.</li><li>Build and maintain dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar visualization platforms.</li><li>Contribute to continuous improvement of data and analytical processes.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>2 4 years of relevant experience in Data Analytics or a related field.</li><li>Bachelor s degree in Business Administration, Computer Science, Information Systems, or a relevant field.</li><li>Strong SQL skills, with experience using BigQuery.</li><li>Python or R experience is required.</li><li>Basic knowledge of statistics and experience applying statistical methods to data.</li><li>Experience working with large datasets and data from multiple sources.</li><li>Strong analytical and problem-solving skills.</li><li>Experience creating dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar.</li><li>Ability to translate data into clear, actionable insights for business and product stakeholders.</li><li>Strong communication and collaboration skills, with the ability to work across Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams.</li></ul>

<p>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. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. 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.</p><p>This is a freelance role for a Tendem project. 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.</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. 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. A methodical, detail-oriented approach and the ability to work independently are essential.</p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

<h3 >About Takamol Holding</h3> <p >Takamol Holding is seeking an <strong >Information Analytics Senior Officer</strong> to join its team in Riyadh, Saudi Arabia. This full-time role is central to enhancing the organization's data analytics capabilities and supporting data-driven decision-making.</p> <h3 >Role Overview</h3> <p >The Information Analytics Senior Officer will be responsible for the design, development, and maintenance of dashboards and reports, analyzing business data for actionable insights. This position involves collaborating with stakeholders to gather requirements, enabling self-service analytics, and ensuring the quality and accuracy of all business intelligence outputs.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and maintain dashboards and reports using platforms such as Power BI, Looker, Metabase, Cube, and Evidence, applying data visualization best practices.</li> <li >Analyze business data to identify trends, opportunities, risks, and performance drivers, translating analytical findings into actionable recommendations for stakeholders.</li> <li >Collaborate with business stakeholders to understand reporting and analytical needs, gathering, documenting, and validating business requirements.</li> <li >Develop and maintain certified datasets, reusable reporting assets, and dashboard templates to support self-service analytics, ensuring consistency through approved semantic models and KPI frameworks.</li> <li >Develop, optimize, and maintain SQL queries to support reporting and analytical requirements, performing data exploration, validation, and troubleshooting activities.</li> <li >Perform validation testing and reconciliation to ensure report accuracy, consistency, and reliability, investigating and resolving data discrepancies in collaboration with relevant teams.</li> <li >Maintain technical documentation, business definitions, and KPI catalogs, defining development frameworks, reporting standards, and governance guidelines.</li> <li >Provide user enablement and support, including training and demonstrations for dashboards, reports, and self-service analytics capabilities, to promote data literacy across the organization.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >Bachelor’s degree in Business Administration, Computer Science, Economics, Finance, Information Systems, Statistics, or a related field. A Master’s degree or equivalent experience is preferred.</li> <li >A minimum of 5 years of experience in Business Intelligence, Data Analysis, or Reporting.</li> <li >Advanced experience with Power BI, Looker, SQL, and data visualization best practices.</li> <li >Proven experience in developing dashboards, reports, and analytical solutions for business stakeholders.</li> <li >Experience working with semantic models, certified datasets, and self-service analytics environments.</li> <li >Demonstrated ability to gather business requirements and translate them into effective reporting and analytics solutions.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Riyadh, Saudi Arabia. The role operates within a collaborative environment, working closely with various business units and data engineering teams to deliver robust analytical solutions.</p> <h3 >Application Information</h3> <p >Takamol Holding is committed to fostering a data-driven culture and seeks a dedicated professional to contribute to its analytical capabilities. Qualified candidates are encouraged to apply.</p>