وظائف مدخل بيانات في السعودية

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.<br>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What you will be doing?<br></strong>As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.</p><br><p>Your responsibilities will include:</p><br><ul><li>Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.</li><li>Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.</li><li>Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.</li><li>Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.</li><li>Utilising Spark &amp;amp; Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.</li></ul><p><strong>What we are looking for?</strong></p><br><ul><li>2-5 years: Data Engineer</li><li>Proficiency in Python, SQL, and database management.</li><li>Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark &amp;amp; Kafka.</li><li>Proven problem-solving skills and a solution-oriented mindset.</li><li>Experience working with business stakeholders either internally or externally</li><li>Excellent communication skills to collaborate effectively within teams and with stakeholders.</li><li>Strong business acumen with an interest in business-facing roles.</li><li>Adaptability and a start-up mentality to thrive in a dynamic environment.</li><li>Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.</li></ul><p>Artefact is the place to be: come and build the future of data and AI</p><br><p><strong>Innovation:</strong> We have a passion for creating impacting projects and believe innovation can come from anyone.<br><strong>Action:&amp;nbsp;</strong>We make things rather than telling people how to make them.<br><strong>Collaboration:&amp;nbsp;</strong>We believe in bringing talented people together, winning together, and in learning from each other.</p><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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Inbox Business Technologies is looking for an experienced <strong>Data Science &amp; Governance SME</strong> to provide data-domain expertise across both segments — ensuring communication content on data governance, quality, privacy, management and BI is technically accurate and credible, and underpinning the design and interpretation of data-literacy and adoption measures.</p><br><p><strong>Employment Type: </strong>Full-time employment </p><br>Responsibilities<ul><li>Serve as the authority on data governance (DAMA-DMBOK), data quality, data management, data privacy/PDPL and BI/analytics for all programme content.</li><li>Review and validate the technical accuracy of data-domain content — governance, quality, privacy, roles-and-responsibilities and BI messaging.</li><li>Co-design the data-literacy framework and the Data Awareness Survey, and advise on data-literacy assessment measures under Segment 3.</li><li>Support executive briefings and immersion sessions with data-domain credibility.</li><li>Interpret data-literacy metrics with the Adoption Analyst and recommend content or intervention adjustments.</li><li>Maintain alignment with TAWAL's data strategy, policies and the KSA regulatory context (PDPL, NDMO, SDAIA).</li></ul> </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 >About Tata Consultancy Services</h3> <p >Tata Consultancy Services (TCS) is a global IT services, consulting, and business solutions organization with over 50 years of experience partnering with leading businesses worldwide in their transformation journeys. As part of the Tata group, India's largest multinational business group, TCS operates with over 616,171 consultants across 53 countries, delivering a consulting-led, cognitive-powered portfolio of services through its Location Independent Agile™ delivery model.</p> <h3 >The Role: Oracle Cloud Data Migration Consultant</h3> <p >TCS is seeking an experienced <strong >Oracle Cloud Data Migration Consultant</strong> to join its team in the Makkah region, specifically in Jeddah or Makkah cities. This full-time role requires a professional with 5-10 years of experience, focusing on leading and executing complex data migration activities for Oracle Cloud implementations.</p> <h3 >Key Responsibilities</h3> <ul > <li >Lead data extraction, mapping, transformation, and validation activities.</li> <li >Build and execute migration loads utilizing FBDI, ADFDi, HDL (for HCM), and REST APIs.</li> <li >Develop comprehensive data templates, mapping sheets, and cleansing guidelines for business users.</li> <li >Coordinate effectively with functional, technical, and business teams to gather data requirements and secure necessary approvals.</li> <li >Perform mock loads, data reconciliations, and provide support for cutover and post-go-live activities.</li> <li >Troubleshoot data load errors and ensure the successful and auditable completion of data migrations.</li> <li >Contribute to strategizing the overall Data Archival strategy.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >5-10 years of professional experience in data migration, specifically with Oracle Cloud.</li> <li >Strong hands-on experience with Oracle Cloud data migration tools including FBDI, ADFDi, HDL, and REST APIs.</li> <li >Proficiency in Fusion data models and a good understanding of Oracle Cloud module data structures.</li> <li >Demonstrated experience with data validation, reconciliation processes, and managing large-volume migration cycles.</li> </ul> <h3 >Essential Skills</h3> <ul > <li >Good SQL skills for data manipulation and analysis.</li> <li >Excellent communication abilities to articulate complex data concepts and requirements.</li> <li >Strong collaboration skills for effective teamwork with business and functional teams.</li> </ul> <h3 >Work Environment and Location</h3> <p >This is a full-time position based in the Makkah region, with opportunities in both Jeddah and Makkah cities. The consultant will contribute to a dynamic global IT services environment, supporting critical data transformation initiatives.</p>

We are looking for an experienced Data Engineer at Manager level with 8 to 10 years of experience to join an advanced analytics engagement based in Riyadh. You will work as part of a small, senior delivery team, building and optimizing the data pipelines and analytics infrastructure that power a client's advanced analytics program, with a focus on procurement and cost-optimization use cases.<br><br>What You'll Do<br><br>❑ Design and build scalable data pipelines and ETL/ELT workflows on Snowflake, integrating with Data IQ and Sigma<br><br>❑ Develop and optimize Python-based data engineering workflows within the client's environment<br><br>❑ Translate procurement and cost-optimization analytics requirements into robust, production-grade data solutions<br><br>❑ Structure and model data to support advanced analytics and decision-intelligence use cases<br><br>❑ Embed data quality, governance, and lineage standards across all pipeline stages<br><br>❑ Engage directly with client stakeholders to clarify requirements and present technical approaches<br><br>❑ Own day-to-day delivery of the data workstream, including planning and quality of deliverables<br><br>❑ Collaborate with a small, senior project team — including a data architect and a junior data resource<br><br>Requirements<br><br>❑ 8-10 years of data engineering experience, ideally including time at a Big 4 firm or strategy / technology consulting firm<br><br>❑ Strong hands-on experience with Snowflake; familiarity with Data IQ and Sigma Computing is a strong plus<br><br>❑ Proficient in Python and SQL for data engineering and pipeline development<br><br>❑ Experience with procurement, sourcing, or cost-optimization analytics use cases<br><br>❑ Solid understanding of data modeling, ETL/ELT design, and data quality practices<br><br>❑ Comfortable working directly within a client's technical environment under data sovereignty constraints<br><br>❑ Able to interface with client stakeholders and communicate clearly with non-technical audiences<br><br>❑ Willing and able to work on-site in Riyadh on a full time or hybrid basis (2-3 days per week)<br><br>You're Our Match If You Have<br><br>❑ A track record of delivering data engineering workstreams on client-facing consulting engagements<br><br>❑ Strong command of Snowflake-based architectures and modern analytics stacks<br><br>❑ Comfort operating in fast-paced, deadline-driven project environments<br><br>❑ The ability to own your workstream with minimal oversight while coordinating with a small delivery team<br><br>❑ Professional experience in Saudi Arabia or the wider GCC<br><br>❑ Availability to start within the next month and commit to a 4-6 month contract<br><br>Bonus Points If You Have Experience With<br><br>❑ Data IQ or Sigma Computing specifically<br><br>❑ Procurement or sourcing analytics and cost-optimization use cases<br><br>❑ A Big 4 firm, global systems integrator, or strategy consulting firm<br><br>❑ Arabic data sets<br><br>❑ Working under data residency / sovereignty constraints in client environments

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a skilled Data Administrator to manage, maintain, and optimize enterprise data platforms, ensuring high availability, performance, security, and data integrity. The ideal candidate will have experience administering relational databases, in-memory data stores, and modern data analytics or AI platforms while supporting data governance, backup and recovery, and performance optimization initiatives.</p><p>Key Responsibilities</p><ul><li>Administer, monitor, and maintain enterprise databases and data platforms.</li><li>Ensure database availability, security, performance, and reliability.</li><li>Perform database installation, configuration, upgrades, patching, and migrations.</li><li>Implement backup, recovery, disaster recovery, and high-availability strategies.</li><li>Monitor database health, troubleshoot issues, and optimize system performance.</li><li>Collaborate with application developers, data engineers, and infrastructure teams.</li><li>Support data governance, data quality, and compliance initiatives.</li><li>Maintain technical documentation, operational procedures, and system configurations.</li><li>Participate in capacity planning and implementation of new data technologies.</li></ul><p>Must Have Skills</p><ul><li>Experience with PostgreSQL OR Microsoft SQL Server OR MySQL OR Oracle Database .</li><li>Experience with Redis OR Memcached OR Apache Ignite for in-memory data management and caching.</li><li>Experience with Dataiku DSS OR Vertex AI OR Azure Machine Learning OR Amazon SageMaker OR Databricks .</li><li>Database Administration AND Performance Tuning AND Backup &amp; Recovery AND High Availability AND Disaster Recovery .</li><li>Database Security AND User Access Management AND Data Integrity AND Capacity Planning .</li><li>SQL AND Database Monitoring AND Query Optimization .</li><li>Experience with Linux OR Windows Server administration.</li><li>Familiarity with Git AND GitHub OR GitLab OR Bitbucket .</li><li>Strong analytical, troubleshooting, documentation, and problem-solving skills.</li></ul><p>Good to Have Skills</p><ul><li>Experience with Docker OR Kubernetes .</li><li>Knowledge of cloud platforms AWS OR Azure OR Google Cloud Platform (GCP) .</li><li>Familiarity with ETL OR ELT tools such as Informatica OR Talend OR Apache NiFi OR SSIS .</li><li>Experience with monitoring tools Prometheus OR Grafana OR Zabbix OR Nagios .</li><li>Knowledge of scripting using Python OR Bash OR PowerShell .</li><li>Understanding of Data Governance AND Data Quality AND Master Data Management (MDM) .</li><li>Familiarity with CI/CD AND DevOps practices.</li><li>Experience supporting analytics, reporting, or AI/ML workloads.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Preferred Qualifications</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.</li><li>3 11 years of experience in database administration or data platform administration.</li><li>Experience managing production database environments with high availability and performance requirements.</li><li>Relevant certifications in PostgreSQL, Microsoft SQL Server, cloud platforms, or database technologies are a plus.</li><li>Excellent communication, collaboration, and stakeholder management skills.</li></ul><p></p></section>

<p>The Data Privacy Senior Specialist supports the design, implementation, and monitoring of Takamol s personal data protection program to ensure compliance with the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations, and alignment with SDAIA and NDMO controls and global best practice. Working under the direction of the Data Management Senior Director, the role safeguards personal and sensitive information, embeds privacy-by-design across processing activities, and promotes a culture of data protection throughout the organization.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Business Management, Computer Science, Management Information System, Data Science or a related field. 4-6 years of relevant experience in data protection, data privacy, risk management, or data security within a regulated environment. Strong understanding of core data privacy principles such as data minimization, purpose limitation, lawful basis, and accountability. Demonstrated experience implementing and maintaining data protection policies, procedures, and standards, including DPIAs and privacy-by-design. Certifications (preferred). CIPM, CIPP/E, or equivalent privacy certification; CDMP/DAMA an advantage. In-depth knowledge of PDPL, NDMO, and SDAIA standards. Conducting privacy risk assessments, DPIAs, and audits. Data classification and personal data protection controls. Familiarity with data privacy management tools. Strong analytical thinking and problem solving. Excellent communication and advisory skills. Cross-functional collaboration and stakeholder engagement. Project management, attention to detail, and documentation.</p>

<p><b>Job Title Manager </b>- Data Management (Data Governance, Privacy &amp; Quality) Reports To Director / Senior Manager Location Kingdom of Saudi Arabia Direct Reports NA</p><p><strong>Mission / Purpose of the Role</strong><br>The purpose of this role is to support the establishment, implementation and ongoing maintenance of Data Management capabilities within ADCB KSA, ensuring alignment with Group Data Management frameworks, policies, standards and procedures. The role acts as the primary point of contact for Data Governance, Data Privacy, Data Quality and Data Incident Management matters within the subsidiary, translating Group requirements and local regulatory obligations into practical, embedded controls. By delivering credible governance, robust privacy operations and demonstrable data quality improvement, the role protects the client s regulatory standing and reinforces the firm s reputation for integrity and regulatory excellence.</p><p><br></p><ul><li><br></li></ul><p></p><p><strong>Key Accountabilities</strong></p><p><strong>Data Management Framework Implementation</strong><br>Key Responsibilities<br></p><ul><li>Review and adapt Group Data Management policies, standards and procedures for subsidiary adoption.</li><li>Establish subsidiary-specific Data Management governance documentation where required.</li><li>Support implementation of Data Governance, Data Privacy, Data Quality and Data Incident Management frameworks.</li><li>Develop and maintain local operating procedures, guidance documents and governance artefacts.</li><li>Support periodic review and update of local policies to ensure continued alignment with Group and regulatory requirements.</li></ul>Success Indicators<br><ul><li>Local framework documentation approved and adopted.</li><li>Implementation roadmap delivered to plan.</li><li>No material misalignment with Group standards.</li></ul><p></p><p><strong>Data Governance &amp; Oversight</strong><br>Key Responsibilities<br></p><ul><li>Represent Data Management in subsidiary governance committees, Data Steering Groups and working groups.</li><li>Prepare governance materials, reports and management updates for local and Group forums.</li><li>Escalate material data risks, control deficiencies and regulatory concerns to the appropriate management and governance bodies.</li><li>Track remediation actions and ensure timely closure.</li><li>Support implementation of data ownership, stewardship and accountability models.</li></ul>Success Indicators<br><ul><li>Governance packs issued on schedule.</li><li>Risks escalated without delay.</li><li>Actions closed within agreed deadlines.</li></ul><p></p><p><strong>Regulatory Compliance &amp; Risk Management</strong><br>Key Responsibilities<br></p><ul><li>Assess and monitor compliance with applicable UAE, KSA and other relevant regulatory requirements.</li><li>Support regulatory gap assessments and implementation of remediation plans.</li><li>Maintain regulatory compliance trackers and reporting mechanisms.</li><li>Conduct Data Risk Assessments, Privacy Impact Assessments and related evaluations.</li><li>Support regulatory examinations, audits and information requests.</li></ul>Success Indicators<br><ul><li>Gap assessments completed and remediated.</li><li>Trackers accurate and current.</li><li>Regulatory requests answered fully and on time.</li></ul><p></p><p><strong>Data Privacy Operations</strong><br>Key Responsibilities<br></p><ul><li>Maintain Records of Processing Activities (ROPA) and processing inventories.</li><li>Support Data Subject Rights management processes and requests.</li><li>Manage data transfer assessments and privacy-related reviews.</li><li>Review and maintain privacy notices, consent notices and related public disclosures.</li><li>Support investigations into privacy complaints and statutory inquiries.</li><li>Provide advisory support to business stakeholders on privacy requirements and obligations.</li></ul>Success Indicators<br><ul><li>ROPA complete and current.</li><li>DSR requests met within statutory timeframes.</li><li>Privacy notices accurate and approved.</li></ul><p></p><p><strong>Data Incident Management</strong><br>Key Responsibilities<br></p><ul><li>Support identification, assessment, investigation and remediation of data incidents.</li><li>Facilitate Data Breach Assessments and impact assessments.</li><li>Coordinate incident response with business, technology, compliance and risk stakeholders.</li><li>Support regulatory notification assessments and documentation requirements.</li><li>Track remediation actions and lessons learned.</li></ul>Success Indicators<br><ul><li>Incidents managed within framework timelines.</li><li>Notification decisions documented and defensible.</li><li>Lessons learned implemented.</li></ul><p></p><p><br></p><p><strong>Education &amp; Experience</strong></p><p><strong>Education</strong><br>Bachelor s degree in Law, Information Management, Computer Science, Business, Finance or a related discipline.</p><p><strong>Experience</strong><br>Minimum 8 years overall industry experience, with at least 4 years in Data Management, Data Governance, Data Privacy or Data Protection roles within financial services. Direct experience implementing data governance, privacy or data quality frameworks is essential. Working knowledge of KSA (SDAIA / PDPL, SAMA) and UAE data protection requirements is strongly preferred.</p><p><strong>Additional Requirements</strong><br>CIPP/E, CIPM, CDMP, DAMA, CISM or equivalent qualifications preferred. Strong written and verbal communication skills in English; Arabic is an advantage.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Education</strong><br>Bachelor s degree in Law, Information Management, Computer Science, Business, Finance or a related discipline.</p><p><strong>Experience</strong><br>Minimum 8 years overall industry experience, with at least 4 years in Data Management, Data Governance, Data Privacy or Data Protection roles within financial services. Direct experience implementing data governance, privacy or data quality frameworks is essential. Working knowledge of KSA (SDAIA / PDPL, SAMA) and UAE data protection requirements is strongly preferred.</p><p><strong>Additional Requirements</strong><br>CIPP/E, CIPM, CDMP, DAMA, CISM or equivalent qualifications preferred. Strong written and verbal communication skills in English; Arabic is an advantage.</p>

<p>End‑to‑end metadata architecture design across enterprise systems Deep expertise in Metadex, custom metadata ingestion, and API‑based metadata onboarding Advanced scanner configuration (Oracle, SQL, SAP, Power BI, Hadoop, Hive, Snowflake, etc.) Designing scalable lineage frameworks (technical + business lineage) Performance tuning for large‑scale catalogs (resource allocation, cluster optimization) EDC–AXON–IDQ integration architecture Security model design (roles, permissions, metadata access governance) Strong SQL, data modeling, and metadata taxonomy creation </p><p><strong>Desired Candidate Profile</strong></p><p>Experience:7–12 years in metadata management Experience handling multi‑domain, multi‑environment catalog deployment</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us</strong></p><br><p>Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as Apple, SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p><br><p>Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p><br>Your Role<p>The Data Governance Lead will be responsible for leading the implementation, operation, and continuous improvement of Tamara’s data governance framework, ensuring that data is managed as a trusted, secure, well-controlled, and valuable organizational asset.</p><br><p>You will work closely with business, data, engineering, security, privacy, compliance, risk, and product teams to establish clear data ownership, strengthen data quality, maintain data governance standards, embed governance requirements into business and technology processes, and support regulatory and audit readiness. You will play a key role in maturing Tamara’s data governance capabilities across data ownership, classification, quality, lifecycle management, metadata, reporting, and governance assurance.</p><br>Your Responsibilities<ul><li>Lead the development, implementation, and continuous improvement of Tamara’s data governance policies, standards, procedures, and operating models.</li><li>Establish and maintain data ownership, stewardship, and accountability models across business and technology functions.</li><li>Define, monitor, and report on data governance KPIs, KRIs, maturity indicators, and management updates.</li><li>Identify opportunities to improve data governance maturity, operational efficiency, reporting quality, and control effectiveness.</li></ul><ul><li>Drive the execution of data governance practices, including data classification, lifecycle management, retention, metadata management, and business glossaries.</li><li>Oversee data quality monitoring, including identifying, prioritizing, and remediating issues related to accuracy, completeness, consistency, and integrity.</li><li>Maintain and enhance governance documentation, including data inventories, ownership registers, data lineage, and governance dashboards.</li><li>Provide governance input and challenge for projects involving data usage, sharing, new platforms, analytics, and integrations.</li></ul><ul><li>Support compliance with regulatory and industry requirements (SAMA, PDPL, PCI-DSS, and other financial services obligations).</li><li>Lead data governance assessments and control reviews to evaluate adherence to internal policies and regulatory standards.</li><li>Identify data-related risks and control gaps, working with stakeholders to define and track remediation plans to closure.</li><li>Lead the preparation of data governance evidence and documentation for internal audits, external audits, and regulatory inspections.</li></ul><ul><li>Partner with cross-functional teams (engineering, security, privacy, compliance, risk, product) to embed governance requirements into new systems and technology changes.</li><li>Drive stakeholder engagement to improve data governance awareness, accountability, and adoption across the organization.</li><li>Provide ongoing guidance and support to data owners, data stewards, and technical teams on governance best practices.</li></ul>Your Expertise<ul><li>2-5 years of experience in Data Governance, Data Management, Data Quality, or Compliance. Previous experience in fintech, banking, or a regulated financial environment is preferred.</li><li>Strong understanding of data ownership, stewardship, metadata management, data lineage, and lifecycle management.</li><li>Strong grasp of compliance expectations related to data management and privacy, particularly SAMA requirements, PDPL, and PCI-DSS.</li><li>Strong analytical skills with proficiency in Excel and experience with SQL, Power BI, Tableau, or similar reporting tools. Good understanding of enterprise data environments and reporting layers.</li><li>Proven ability to identify data quality root causes, define remediation actions, and conduct governance assessments and audit support.</li><li>Exceptional stakeholder management skills with the ability to influence cross-functional teams and produce clear documentation for technical and non-technical audiences.</li><li>Ability to operate independently and manage competing priorities in a fast-paced environment.</li></ul>Preferred Qualifications<ul><li>University degree in Information Management, Computer Science, Risk Management, or a related field.</li><li>Professional certifications such as CDMP, DCAM, COBIT, CIPP, or ISO 27001.</li><li>Experience leading enterprise data governance programs or maturity improvement initiatives.</li><li>Hands-on experience with dedicated data governance, cataloging, metadata, lineage, or GRC tools.</li><li>Prior experience operating under SAMA regulatory oversight.</li></ul><p>&amp;nbsp;</p><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>

Penta Consulting is a technology service provider and leading outsourced partner, delivering professional and managed solutions across EMEA. We are seeking a Oracle Database and Integrator Consultant Please see the requirements below.<br>Key Responsibilities Data Integration & ETL Development Design, develop, and maintain complex ETL pipelines and workflows using Oracle Data Integrator (ODI). Administer and support ODI Studio, ODI repositories, and ODI Agents. Integrate data from multiple source and target systems, including OTBI, Oracle databases, CSV files, and other enterprise applications.<br>Required Skills & Experience Extensive hands-on experience with Oracle Data Integrator (ODI), including ODI Studio and Agent administration. Strong ETL development experience, designing and delivering complex integration solutions across Oracle and non-Oracle platforms. Proven experience integrating data from OTBI, Oracle databases, CSV files, and other enterprise data sources.<br>Desirable Skills Experience with Oracle Fusion Applications and Oracle Transactional Business Intelligence (OTBI). Knowledge of cloud-based data integration and analytics solutions. Experience with Agile delivery methodologies.<br>Don't miss out on this great opportunity and apply today !

Data Governance Specialist | Reef Group <br>Position Title: Data Governance Specialist Location: Riyadh, Saudi Arabia Job Type: Full-Time<br>About the Role:We are seeking a highly skilled Data Governance Specialist to establish, maintain, and optimize data governance frameworks across the organization. The role requires strong knowledge of governance standards, regulatory compliance, and a strategic approach to managing enterprise data. You will play a key role in ensuring data accuracy, security, and compliance, while enabling the organization to leverage data as a strategic asset across multiple departments and markets.<br>Key Responsibilities:Implement and maintain robust data governance frameworks aligned with DAMA principles. Ensure compliance with NDMO and SADAIA regulations and guidelines. Support metadata management, data lineage, and data cataloging initiatives. Collaborate with cross-functional teams to embed governance practices into daily workflows. Monitor data quality, security, and compliance across systems. Contribute to the development of dashboards and reporting for governance KPIs. Provide guidance and training to teams on data governance best practices. Continuously improve governance processes to enhance efficiency and compliance.<br>Required Qualifications:Bachelor’s degree in Data Management, Information Systems, IT, or related field.3–7 years of experience in Data Governance or Data Management. Strong knowledge and practical experience with the DAMA framework. Hands-on experience with NDMO & SADAIA regulations. Background in the retail industry (fashion & perfume) preferred. Proficiency in Cloud, Azure, Fabric, or D365 is a plus. Excellent analytical, communication, and collaboration skills. Strategic thinking and the ability to provide actionable data-driven recommendations. Excellent command of Arabic and English (written and spoken). Required Training: Computer Skills – Administrative Skills – Effective Communication Skills.<br>Why Join Us? This is an excellent opportunity to be part of a pioneering team driving data transformation in the retail sector. You will work on cutting-edge governance initiatives that align with national and global standards, while growing your career in a dynamic and fast-paced environment. Joining Reef Group means becoming part of a collaborative culture that values innovation, transparency, and impact.

<h3 >About Takamol Holding and the Role</h3> <p >Takamol Holding is seeking a <strong >Data Privacy Senior Specialist</strong> to join its team in Riyadh, Saudi Arabia. This full-time position is integral to supporting the design, implementation, and monitoring of Takamol’s personal data protection program.</p> <h3 >Role Overview</h3> <p >Reporting to the Data Management Senior Director, the Data Privacy Senior Specialist plays a critical role in safeguarding personal and sensitive information across the organization. This position is instrumental in embedding privacy-by-design principles into all data processing activities and fostering a robust culture of data protection throughout Takamol Holding.</p> <h3 >Key Responsibilities</h3> <ul > <li >Support the design, implementation, and ongoing monitoring of the personal data protection program.</li> <li >Safeguard personal and sensitive information across all organizational activities.</li> <li >Embed privacy-by-design principles into data processing activities and systems.</li> <li >Promote and cultivate a strong culture of data protection within the organization.</li> </ul> <h3 >Compliance and Standards Adherence</h3> <ul > <li >Ensure compliance with the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations.</li> <li >Align data protection practices with controls established by SDAIA and NDMO.</li> <li >Integrate global best practices in data privacy into Takamol’s operational framework.</li> </ul> <h3 >Required Experience</h3> <p >Candidates for this role should possess <strong >5 to 10 years of relevant professional experience</strong> in data privacy, data protection, or a closely related field. This experience should include practical application of data protection laws and frameworks.</p> <h3 >Application</h3> <p >Qualified professionals are invited to apply for this opportunity to contribute to Takamol Holding’s commitment to data privacy excellence.</p>

Solutions Architect - Data Engineering | Mid-Senior<br>A forward-deployed solver (fds) and the technical architect for cutting-edge data engineering solutions, directly leading design, execution, and real-world impact for our clients' AI-poweredtransformations.<br>What are we looking forreal solver?<br>Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible.<br>If you're the type to dismantle assumptions,re-engineer ‘best practices', and build solutions that make the future possible NOW, then you're speaking our language.<br>➔ Improver. Solver. Futurist.➔ Great sense of humor.➔ Possible. It is' Mindset.➔ Compassionate collaborator. Bold experimenter. Tireless iterator.➔ Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.➔ Thinks in systems. Solves at scale.<br>This Isn’t for Everyone. But if you’re the kind who questions why things are done acertain way—and then identifies 3 better ways to do it — we’d love to chat with you.<br>Your Mission: The Rolesolving for better.<br>You are a technically accountable, outcome-delivering, forward-deployed solver(fds), directly shaping and driving AI-powered transformation from the first principlesthrough exceptional data engineering and architecture.<br>You'll be a Directly Responsible Individual (DRI) for co-innovating and technicallyrealizing transformative business outcomes with client stakeholders by solvingdifferently and relentlessly questioning the status quo. You lead the architecturalcharge—from initial data ingestion concepts to high-velocity production pipelines.<br>Let’s be clear: this is not your typical data architect role where success is measuredsolely in ER diagrams and theoretical schemas. At Searce, you get into the weeds,leading with a process-first mindset as the fellow engineers evlo (solve differently)intelligent outcomes; while you remain 100% accountable for the technical datasolutions proposed, their quality, and the real outcomes realized in production.<br>You aren't just overseeing pipelines; you are architecting scalable data products thatturn chaotic data into high-velocity business intelligence. You thrive on data quality andare obsessed with the potential of modern cloud platforms to revolutionize howbusinesses operate.<br>You're not just building pipelines. You're engineering transformation.<br>Your Responsibilitieswhat you will wake up to solve.<br>Your mission is to partner with visionary clients, leverage our ‘solver DNA’ to disrupttraditional data silos, and genuinely futurify clients' business operations by creating‘real value’ through cutting-edge data engineering and scalable architecture.<br>Here’s how you’ll make your mark:<br>Drive Technical Impact & Growth<br>● Own the technical data solution delivery that directly fuels client revenue and success. Forecast, architect, and execute data strategies with precision.● Architect and deliver compelling data products that build deep client trust and accelerate the adoption of data-driven decision-making.● Leverage and deepen technical alliances with hyperscalers (GCP/AWS/Azure), modern data stack ISVs, and AI platforms to unlock cutting-edge pipeline and storage capabilities.● Consult & Solve as the lead technical voice in strategic client conversations, translating ambiguous business problems into elegant, high-velocity data engineering solutions.<br>Architect & Build Intelligent Outcomes<br>● Lead engaging discovery workshops using first-principles thinking to uncover core client problems amenable to AI-powered data architectures.● Apply our proprietary evlos methodology—iterate fast and fearlessly in the design and development of innovative, automated data ecosystems.● Serve as the chief technical translator between a client's biggest business challenges and our most intelligent, cloud-native data platforms.● Design AI-native, cloud-forward data solutions grounded in process intelligence, ensuring every byte of data fuels better outcomes.● Replace “nice slides” with “production-grade automation” —delivering pleasant surprises for clients via working, real-world data flows.<br>Functional Skills<br>➔ Consultative Data Architectural Solutioning : Drives deep modern data architectural solutioning and consultative guidance, directly enabling client wins and contributing to significant, revenue-generating engagements (e.g., projects valued at $X Mn+). You move beyond simple pipelines to design the AI-native data foundations that fuel enterprise-wide transformation.➔ Incisive Discovery & Pipeline Opportunity Identification : An exceptional listener who asks truly incisive questions to uncover core business challenges, discern underlying data and system opportunities, and deconstruct ambiguous goals into scalable, elegant data blueprints. You clarify the technical requirements for robust data services, identifying critical bottlenecks in latency, idempotency, and throughput.➔ Architectural Storytelling & Data Clarity : Possesses articulate and persuasive communication skills, able to distill complex modern data architectures—from Lakehouse and Data Mesh to RAG-based AI infrastructure—into compelling CXO/CTO-level storytelling. You provide absolute technical accuracy and clarity, demonstrating how engineering decisions (like partitioning strategies or schema designs) align with strategic business outcomes.➔ Technical Negotiation : Skillfully guides client and internal "Solver Squads" towards optimal, mutually beneficial data architectural decisions. You balance innovation (Generative AI, Real-time Streaming) with pragmatism (scalability, cost-performance, and zero-downtime execution), acting as a key facilitator for high-impact technical consensus.➔ Cross-Functional Engineering & Data Ops Catalyst : Thrives in highly collaborative environments across product, engineering, data science, and delivery. Eagerly shares deep technical knowledge in Data Ops, Infrastructure as Code (IaC), and automated quality frameworks. You inspire others to achieve common, technically sound goals, ensuring that high-quality, maintainable code is the baseline for all intelligent outcomes.<br>Tech Superpowers<br>➔ AI-Driven Data Architecture : Architects robust ecosystems bridging structured data with Unstructured/Vector stores to power RAG and Gen AI workflows. You build data foundations specifically for AI, distinguishing high-velocity integration from superficial data movement.➔ Core Modern Data Engineering Mastery : Translates deep technical insights—from distributed compute to schema evolution—into resilient architectures that survive petabyte-scale volume and data skew to create measurable business value.➔ Cloud-Native & MDS Capability : Proven impact implementing high-performance platforms on Snowflake, Databricks, or Hyperscalers. You masterfully select the simplest, most reliable tools (SQL, Python, Spark, dbt) to ensure cost-effective, production-grade delivery.➔ Business-Driven "Data Product" Architecture : Acts as a Product-Minded Strategist, linking architectural decisions directly to client outcomes. You translate complex requirements into elegant architectures that treat every dataset as a measurable "Data Product" with clear ROI.➔ End-to-End Ecosystem & Governance Integrity : Designs modular, reusable data products across ingestion, transformation, and consumption. As the Integrity Guardian, you embed data quality, lineage, and privacy-by-design (GDPR/PII) into every pipeline.<br>Experience & Relevance<br>➔ Architectural Pedigree: 8+ years of progressive experience driving AI-driven, cloud-native data transformations with a process-first mindset and a portfolio of high-velocity data products.➔ Technical Growth Leadership: Proven track record of architecting complex platforms—Lakehouses, Real-time Streaming, and Platform Migrations—that directly fuel client revenue and expand strategic engagements.➔ Client-Facing Technical Authority: Direct experience as a lead builder and consultative architect; you act as the DRI and trusted authority, translating a CEO’s vision into an engineer’s technical blueprint.➔ Cloud & AI-Native Fluency: Expert-level mastery of major cloud platforms (GCP/AWS/Azure) and the modern data stack. You build with AI (Git Hub Copilot) and for AI (RAG pipelines, Vector DBs).➔ Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.➔ Transformation Portfolio: Evidence of leading large-scale, end-to-end transformations, proving architectures with cost-performance benchmarks rather than theoretical models.<br>Bonus Points (you will thrive if you have)<br>➔ Brings CTO Energy: Brings a potent mix of technical vision, high ownership, relentless execution, and a clear bias for driving real-world impact through engineering solutions.➔ Impactful Contributor to Transformation at Scale: Played a pivotal role in driving large-scale technical transformations for significant enterprises (e.g., within major business units of $1Bn+ organizations), delivering tangible engineering outcomes beyond mere slideware.➔ Production-Ready Automation Engineering: Has engineered and delivered production-grade software solutions for horizontal automation across functions across diverse domains like telecom, fintech, healthcare, or retail, moving beyond theoretical concepts to real-world, operational systems.➔ Scaling Expertise (0→1, 1→10): You understand what it takes to build and grow software solutions, products, or engineering initiatives with speed and intent, from inception to significant scale.

<p>Jobholders at this level are responsible for leading work activities and working autonomously with minor direction towards predetermined long-term objectives. Jobholders might act as internal consultants and facilitators through providing guidance to deliver and perform operational activities. Their main operational role includes providing guidance in developing data management plan to raise awareness in data protection and automation, supervising plan implementation to advise on corrective actions, providing expertise in identifying improvement areas and recommending data management projects to optimize the use of data within the bounds of policies and guidelines.</p><p>Data Management Planning</p><ul><li>Review National Data Management Office (NDMO) approved standards and policies to update ZATCA s current data guides accordingly ensuring continuous adherence with NDMO requirements</li><li>Conduct an assessment identifying needs and challenges related to data management to highlight needed requirements for efficient data management and define improvement areas</li><li>Define data management policies, procedures and guidelines in line with set strategy and ZATCA s overall strategic priority</li><li>Develop data management plan to raise awareness in data protection, automation and storage topics across the organization</li><li>Devise list of data management KPIs in line with strategic objectives to ensure proper follow-up</li><li>Communicate data management policies, guidelines, strategy and plan with related stakeholders and provide support to secure clear understanding</li><li>Develop and install programs managing meta data and information assets to ensure data integrity and quality</li><li>Define data owners and create accordingly roles, responsibilities and rules on related data systems to facilitate traceability of data breaches</li></ul><p>Data Management Follow-up</p><ul><li>Follow on implementation of data management plans while identifying related data issues and ensuring timely resolution</li><li>Identify improvement areas and develop accordingly needed new data management projects to optimize the use of data within the bounds of policies and guidelines</li><li>Execute data management projects in line with timeline objective and management direction while ensuring proper delivery of services requested by ZATCA s functions</li><li>Follow on implementation of improvement action plan to minimize facing new data related issues</li><li>Develop reports for related stakeholders highlighting ZATCA s compliance levels with data standards and policies</li></ul><p>Organization and Operations</p><ul><li>Follow all relevant policies, processes and standard operating procedures so that work is carried out in a controlled and consistent manner</li><li>Help in solving escalated problems and provide needed support for junior team to ensure work is carried out in an efficient manner</li><li>Escalate complex problems to the relevant person to ensure cases/issues are closed properly</li><li>Perform other duties as requested</li></ul><p>People Management</p><ul><li>Train junior staff on the different job activities to ensure transfer of know-how, when applicable</li><li>Provide clear direction, prioritize tasks, assign and delegate responsibility, and monitor the workflow of subordinates/ junior staff</li><li>Support junior staff or direct reports in order to execute their duties according to set policies and processes</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Data Science, Computer Science or equivalent is required</li><li>Master's degree in Data Science, Computer Science or equivalent is preferred</li><li>A minimum of 5 years of relevant experience</li></ul><ul><li>Policy Making - Proficient</li><li>Data Analytics - Advanced</li><li>Collaboration and Communication - Developing</li><li>Professionalism - Proficient</li><li>IT Compliance - Proficient</li><li>Results Oriented - Proficient</li><li>Database Design and Operations - Advanced</li><li>Customer Focus - Proficient</li><li>Data Processing - Advanced</li><li>Data Management Planning and Design - Advanced</li><li>Enablement of Change and Innovation - Developing</li></ul>

<h3 >About the Data Engineer Infrastructure Role</h3> <p >Jobs AI is seeking a <strong >Data Engineer Infrastructure</strong> for a client located in <strong >Saudi Arabia</strong>. This <strong >contract</strong> position involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. The successful candidate will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.</p> <h3 >Client and Role Context</h3> <p >The client is recognized as a global leader within the <strong >Software Development, Technology, Information and Internet, and Data Infrastructure and Analytics</strong> industries. This role offers the opportunity to contribute to the modernization of data infrastructure and enable advanced analytics capabilities, directly impacting the client's operational efficiency and strategic insights.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.</li> <li >Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.</li> <li >Ensure data integrity, consistency, and security across all data assets and systems.</li> <li >Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.</li> <li >Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.</li> </ul> <h3 >Experience and Qualifications</h3> <p >Candidates should possess <strong >2-5 years</strong> of experience in a relevant data engineering role. Jobs AI hires based on skills and expertise, welcoming all qualified candidates regardless of background or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p> <h3 >Work Arrangement and Compensation</h3> <p >This is a <strong >contract</strong> position that allows for remote work with flexible hours. The compensation for this role is competitive, ranging from <strong >$30 to $100 per hour</strong>.</p> <h3 >Application Process</h3> <p >Interested candidates are encouraged to apply, demonstrating their technical abilities and qualifications for this Data Engineer Infrastructure role.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: Data Science &amp; Analytics Engineer Job Title: Data Science &amp; Analytics Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are looking for a talented Data Science &amp; Analytics Engineer with 3 11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making. Key Responsibilities Design, develop, and deploy predictive and analytical models to solve business problems. Perform data exploration, statistical analysis, feature engineering, and model evaluation. Build interactive dashboards, reports, and visualizations for business stakeholders. Develop scalable data analytics solutions using modern cloud and big data platforms. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Analyze structured and unstructured datasets to identify trends, patterns, and opportunities. Ensure data quality, governance, and best practices across analytics initiatives. Present analytical findings and recommendations to technical and non-technical audiences. Continuously improve analytics processes, reporting capabilities, and model performance. Required Technical Skills Programming &amp; Data Science Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics. Data Science Platforms Hands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analytics. Experience developing end-to-end analytical workflows and model deployment. Business Intelligence &amp; Visualization Strong experience with Power BI or Tableau or Looker for dashboard development and data visualization. Ability to create interactive reports and executive-level dashboards. Data Warehousing &amp; Analytics Experience with BigQuery or Snowflake for large-scale analytics and data warehousing. Strong understanding of SQL, data modeling, and analytical query optimization. Analytics &amp; Machine Learning Experience with statistical analysis, forecasting, classification, clustering, and regression models. Familiarity with machine learning libraries and model evaluation techniques. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments. Preferred Skills Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus. Key Technology Stack Programming Languages: Python or R Data Science Platforms: Databricks or Dataiku Business Intelligence: Power BI or Tableau or Looker Data Warehouse: BigQuery or Snowflake Analytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data Visualization Cloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h3>Qualifications</h3><p>Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments.</p><h3>Preferred Skills</h3><p>Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</p><p></p></section>

JOB PURPOSE / ROLE:To lead the development, Implementation, and monitoring of the RB enterprise data strategy and governance controls, Ensuring alignment with business objectives, regulatory requirements and data management standards while driving continues improvement in data governance capabilities.<br>AREAS OF RESPONSIBILITY:Policies, Processes & Procedures:Assist the development and execution of the Data Strategy & Control policies, procedures and controls for all sources of the data. Day- to-Day Operations:Perform the day-to-day activities and ensure that work processes are implemented as designed and comply with established policies, processes and procedures Job Related Accountabilities:Lead the implementation and continuous enhancement of the Bank’s Enterprise Data Strategy. Develop and monitor data governance controls, standards, policies, and procedures across the Bank. Track the execution of strategic data initiatives and report progress against approved roadmaps and KPIs. Coordinate with business and technology stakeholders to ensure alignment of data initiatives with business priorities Establish governance mechanisms to ensure compliance with internal policies and regulatory requirements related to data management. Monitor data governance maturity and identify opportunities for continuous improvement. Support enterprise-wide data governance forums and committees by preparing reports, dashboards, and decision-support materials. Coordinate the implementation of data-related regulatory and compliance requirements. Collaborate with Data Quality, Master Data, Metadata, Data Privacy, and Business Intelligence teams to ensure consistent governance practices. Lead assigned strategic initiatives and perform other related duties as required. Change Management Contributes to the identification of opportunities for continuous improvement of systems, processes and practices taking into account ‘international best practices’, improvement of business processes, cost reduction and productivity improvement. Related Assignments:Performs other related duties or assignments as directed<br>QUALIFICATIONS & EXPERIENCE:Minimum Qualifications:Bachelor’s degree in Information Management System, Information Systems or Computer Science or Related Filed Minimum Experience:6-8 years relevant experience in Data Management Language:English: Advanced

<p>About the Role: We are seeking a Commercial Data Analyst to join our Data Intelligence team. In this role, you will leverage Almosafer's end-to-end travel commerce data including bookings, customer, pricing, supplier, and revenue data to generate actionable insights that inform business strategy, optimize commercial performance, and enable data-driven decision-making across Sourcing, Revenue Management, Product, Sales, and Marketing.</p><p>You ll act as the bridge between data and business, turning complex datasets into actionable recommendations that enable commercial success.</p><p>The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in Sourcing, Products or Digital analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.</p><p>Responsibilities:</p><p>Data Exploration &amp; Analysis - Explore and analyze in-house datasets (transactional, sourcing, connectivity, competitive intelligence) to generate meaningful insights. - Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities that drive revenue and margin improvement. - Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.</p><p>Insight Generation &amp; Communication - Translate data findings into clear, concise, and actionable insights and business recommendations. - Present analysis to stakeholders in a compelling narrative, using visualizations and storytelling to support strategic decisions - Deliver Insights to a wider audience and reiterate to generate impactful results &amp; achieve regular success</p><p>Data Product Support &amp; Continuous Improvement - Contribute to the development and evolution of Commercial Data Products by providing insights, testing hypotheses, and validating assumptions - Help shape KPIs, reporting metrics, and dashboards aligned with business goals. - Proactively suggest opportunities for optimization and process improvement using data insights. - Stay up to date with industry trends and analytics tools to enhance analytical capabilities</p><p>Stakeholder Engagement - Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales &amp; Marketing) to understand their data needs and deliver impactful analytical solutions. - Act as a mutual data partner, and advisor to cross-functional teams and multiple stakeholders.</p><p>Advanced Analytics &amp; Data Solutions - Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics. - Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams.</p><p>Collaboration &amp; Data Governance - Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies. - Drive data literacy and analytical best practices across teams.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s or Master s degree in STEM, Business Analytics, or related field.</p><p>5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.</p><p>Proficiency in SQL, Python or R, and advanced Excel.</p><p>Strong experience in Commercial, Digital Products or Data Analytics practices.</p><p>Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.</p><p>Excellent stakeholder management and communication skills; English fluency.</p><p>Experience building and deploying machine learning models e.g. Pricing &amp; Margin Optimization, Forecasting, Recommendations, Mapping etc.</p><p>Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).</p>

<h3 >About Müller's Solutions and the Role</h3> <p >Müller's Solutions is seeking a <strong >Data Analytics Specialist</strong> to join our team in Riyadh, Saudi Arabia. This is a full-time position where the specialist will be responsible for analyzing complex data sets to provide actionable insights that inform business strategy and decision-making. The role involves working closely with various departments to enhance data-driven practices and improve overall organizational performance through advanced analytical techniques.</p> <h3 >Key Responsibilities</h3> <ul > <li >Collect, process, and analyze large data sets from various sources to identify trends and patterns.</li> <li >Create and maintain dashboards and reports to visualize data and communicate results effectively.</li> <li >Collaborate with cross-functional teams to understand their data needs and provide analytical support.</li> <li >Model data using statistical methods to forecast future trends and outcomes.</li> <li >Develop and implement data collection and analysis methodologies.</li> <li >Conduct ad-hoc analyses as requested, providing insights that inform business decisions.</li> <li >Stay updated on industry trends and best practices in data analytics.</li> <li >Train team members on data analysis tools and techniques to enhance data literacy across the organization.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Proven experience as a Data Analytics Specialist or in a similar role, with <strong >5-10 years of relevant experience</strong>.</li> <li >Excellent analytical and problem-solving skills with attention to detail.</li> <li >Strong communication skills to effectively convey complex data insights to non-technical stakeholders.</li> <li >Ability to work independently and as part of a team in a fast-paced environment.</li> </ul> <h3 >Team and Work Environment</h3> <p >The Data Analytics Specialist will operate within a dynamic team environment, contributing to data-driven initiatives across the organization. This full-time position is based in Riyadh, Riyadh, Saudi Arabia, requiring active collaboration with various departments.</p> <h3 >Benefits of Joining Müller's Solutions</h3> <ul > <li >Opportunity to work with a talented and passionate team.</li> <li >Competitive salary and benefits package.</li> <li >Involvement in innovative projects and a stimulating work environment.</li> </ul> <h3 >Application Process</h3> <p >Candidates who meet the above qualifications are encouraged to apply for this full-time Data Analytics Specialist position at Müller's Solutions.</p>

<p>Purpose of Job Jobholders at this level are experienced professionals capable of conducting work with general directions. They are primarily concerned with developing solutions to challenges which require some analysis to understand and resolve, and addressing issues escalated from junior levels. They undertake complex operational activities including supporting in setting data management policies, developing plan to raise awareness in data protection and automation, managing implementation of plan, reviewing identified issues, developing and managing new data management projects ensuring proper delivery of services requested by ZATCA s functions. Job Resposiblites Job Details Data Management Planning Review National Data Management Office (NDMO) approved standards and policies to update ZATCA s current data guides accordingly ensuring continuous adherence with NDMO requirements Conduct an assessment identifying needs and challenges related to data management to highlight needed requirements for efficient data management and define improvement areas Define data management policies, procedures and guidelines in line with set strategy and ZATCA s overall strategic priority Develop data management plan to raise awareness in data protection, automation and storage topics across the organization Devise list of data management KPIs in line with strategic objectives to ensure proper follow-up Communicate data management policies, guidelines, strategy and plan with related stakeholders and provide support to secure clear understanding Develop and install programs managing meta data and information assets to ensure data integrity and quality Define data owners and create accordingly roles, responsibilities and rules on related data systems to facilitate traceability of data breaches Data Management Follow-up on implementation of data management plans while identifying related data issues and ensuring timely resolution Identify improvement areas and develop accordingly needed new data management projects to optimize the use of data within the bounds of policies and guidelines Execute data management projects in line with timeline objective and management direction while ensuring proper delivery of services requested by ZATCA s functions Follow-up on implementation of improvement action plan to minimize facing new data related issues Develop reports for related stakeholders highlighting ZATCA s compliance levels with data standards and policies Organization and Operations Follow all relevant policies, processes and standard operating procedures so that work is carried out in a controlled and consistent manner Help in solving escalated problems and provide needed support for junior team to ensure work is carried out in an efficient manner Escalate complex problems to the relevant person to ensure cases/issues are closed properly Perform other duties as requested People Management Train junior staff on the different job activities to ensure transfer of know-how, when applicable Provide clear direction, prioritize tasks, assign and delegate responsibility, and monitor the workflow of subordinates/ junior staff Support junior staff or direct reports in order to execute their duties according to set policies and processes Communication and Contacs</p><p><strong>Desired Candidate Profile</strong></p><p>Education Bachelor s degree in Data Science, Computer Science or equivalent is required Experience A minimum of 4 years of relevant experience Competencies IT Compliance - Proficient Policy Making - Proficient Data Analytics - Proficient Data Management Planning and Design - Advanced Data Processing - Advanced Database Design and Operations - Proficient Professionalism - Proficient Collaboration and Communication - Developing Results Oriented - Proficient Customer Focus - Proficient Enablement of Change and Innovation - Developing</p>