Data Entry Jobs in Saudi

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (AWS to GCP) based in Saudi Arabia.<br><br>You will join a high-performing data engineering team building and evolving large-scale commercial data products within a dynamic media and streaming environment.<br><br>The role sits at the heart of a major cloud transformation, with key systems being migrated from AWS to Google Cloud Platform (GCP).<br><br>Once the migration is complete, the focus will shift toward optimisation, performance tuning, and delivering new data capabilities that directly support business decision-making.<br><br>You will work on end-to-end data pipelines, modern cloud-native architectures, and large-scale datasets that power critical analytics and reporting.<br><br>This is a hands-on engineering role with strong ownership, where your contributions will have visible impact across multiple business domains.<br><br>You will collaborate closely with analysts, product owners, and engineers in an Agile, fast-moving, and collaborative environment.<br><br>The position is ideal for someone who enjoys solving complex data challenges and improving data reliability at scale.<br><br>Accountabilities<br><br>Design, build, and maintain scalable data pipelines and data products on Google Cloud Platform (GCP), ensuring performance, reliability, and scalability. Support the migration of existing AWS-based data workloads to GCP, ensuring smooth transition and minimal disruption. Develop and optimise ETL/ELT workflows using Python, SQL, and PySpark for large-scale data processing. Build, maintain, and enhance data transformations using Big Query and Dataproc. Create and manage orchestration workflows using Apache Airflow (Cloud Composer). Implement and improve data quality frameworks, ensuring consistency, accuracy, and trust in data outputs. Collaborate with cross-functional teams (analysts, product, engineering) to translate business needs into robust data solutions. Participate in code reviews, technical discussions, and continuous improvement initiatives. Contribute to platform reliability, monitoring, documentation, and operational excellence.<br><br>Requirements<br><br>Strong commercial experience as a Data Engineer working with cloud-based data platforms. Hands-on expertise with Google Cloud Platform (GCP), especially Big Query. Proven experience building and maintaining Airflow pipelines (Cloud Composer preferred). Strong programming skills in Python and solid SQL expertise. Experience with PySpark and distributed/large-scale data processing systems. Good understanding of data modelling and modern ETL/ELT design patterns. Experience working with Git-based workflows in collaborative engineering environments. Strong communication skills and ability to work effectively with both technical and non-technical stakeholders. Experience working in Agile delivery environments. Nice to have: experience with Dataproc, Dataplex, Great Expectations or similar data quality tools, AWS services (S3, MWAA, Databricks), and cloud migration projects. Exposure to media, streaming, or large-scale consumer platforms is a plus.<br><br>Benefits<br><br>Competitive compensation aligned with senior-level expertise. Flexible working arrangements (remote/hybrid depending on team setup). Opportunity to work on a large-scale cloud migration and modern data platform. Career growth through exposure to complex, high-impact data products. Ongoing training, mentoring, and professional development support. Collaborative, Agile working environment that values learning and continuous improvement. Opportunity to work on international, large-scale datasets and systems.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. 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Who Are We<br>HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.<br>HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.<br>Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank. Responsibilities: Develop and execute the enterprise data strategy aligned with HALA's business objectives and digital transformation roadmap. Establish a modern, scalable, and secure data ecosystem supporting analytics, AI, reporting, and operational decision-making. Lead and develop the Data Engineering, BI, Analytics, and Data Governance teams. Oversee the design, implementation, and optimization of enterprise data platforms, data warehouses, and data lakes. Ensure reliable data pipelines integrating payment systems, merchant platforms, financial systems, CRM, and operational applications. Drive automation, scalability, availability, and performance of data infrastructure. Collaborate with Engineering to establish enterprise data architecture standards. Deliver executive dashboards and KPI reporting for senior management and Board Committees. Establish enterprise-wide data governance policies, standards, and ownership models. Define data quality controls, metadata management, master data management, and data lifecycle processes. Ensure data accuracy, completeness, consistency, and integrity across all systems. Ensure data management practices comply with: SAMA regulatory requirements, NCA Cybersecurity Controls, Personal Data Protection Law (PDPL) Internal security and governance standards. Qualifications:Education Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field. Equivalent years of relevant experience may be considered in lieu of formal education. Experience8-10 years of progressive experience in Data Engineering, Analytics, Business Intelligence, or Data Management.5+ years in a leadership role managing enterprise data teams. Experience in fintech, banking, or financial services is preferred. Skills Fluent in English and Arabic. Strong analytical and reconciliation skills. Core Competencies Process Optimization & Innovation – Proficiency Level: Advanced Collaboration & Stakeholder Engagement – Proficiency Level: Advanced Strategic Thinking & Execution – Proficiency Level: MODERATEBusiness Acumen & Operational Efficiency – Proficiency Level: MODERATE What We Offer You<br>We believe you will love working at HALA! We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups. We offer highly competitive compensation packages, including the potential for shares. We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment. Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry. We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company. You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best. If you think you have what it takes to join a remarkable team #apply_now

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Us We are building the next-generation Office of the CFO that simplifies finance for all businesses.<br> SiFi is a corporate expense management platform designed to empower accounting teams with seamless control over corporate spending.<br> Our platform allows companies to issue cards with specific spending restrictions, ensuring funds are used efficiently and only for approved expenses.<br> As we scale, trusted data becomes core infrastructure powering financial correctness, operational visibility, and AI-powered automation.<br> About the Role We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi’s data platform.<br> You will be part of the Data &amp; AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance.<br> Your primary responsibility will be to design and own our data platform, modeling standards, and AI-ready infrastructure, ensuring that metrics are accurate, scalable, and trusted across the organization.<br> This is a high-ownership role focused on building financial data infrastructure from first principles.<br> This role is based in Saudi Arabia (Relocation).<br> What You Will Own Data Modeling and Standards Define and maintain scalable data models in SQL Establish structured warehouse layers and modeling best practices Own KPI definitions and ensure a single source of truth ​Ensure financial correctness and metric consistency Warehouse Architecture Design and evolve our cloud data warehouse in BigQuery Own transformation workflows using dbt, SQLMesh, or similar tools Optimize performance, reliability, and cost Design and support production-grade AI/ML pipelines ensuring model performance, data integrity, and compliance.<br> Reliability and Governance Ensure data quality, integrity, and observability Implement access controls aligned with compliance requirements Build a scalable foundation ready for advanced analy​tics and AI Cross-Functional Impact Translate business requirements into robust data systems Enable trusted reporting and BI across teams Support experimentation and AI-driven initiatives with well-structured datasets What We Are Looking For 5+ years of experience in Data Engineering or Analytics Engineering Strong SQL expertise with hands-on data modeling experience Experience with cloud data warehouses such as BigQuery Experience with modern transformation frameworks such as dbt or SQLMesh Experience building or supporting production-grade AI/ML pipelines is a strong plus Ability to operate independently in a fast-moving startup Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job DATA PRIVACY SPECIALIST <p><strong>About the Role</strong> Duncan &amp; Ross is retained by a leading petrochemical client on Saudi Arabia's Eastern Coast to source a Data Privacy Specialist to support the client's data privacy programme delivery. Working under the direction of the Data Privacy Expert and alongside legal and compliance teams, you will provide hands-on implementation support — translating privacy requirements into operational processes, tools, and controls across the organisation.</p><br> <p><strong>What You'll Do</strong></p><br> <ul> <li>Support the implementation of the client's data privacy programme in line with Saudi Arabia's PDPL and the client's parent company requirements</li> <li>Conduct and document privacy impact assessments (PIAs) and data protection impact assessments (DPIAs)</li> <li>Maintain the data processing register and records of processing activities (RoPA)</li> <li>Support the operationalisation of data subject rights request processes</li> <li>Assist in developing and rolling out privacy training and awareness materials</li> <li>Monitor regulatory developments and flag relevant changes to the privacy team</li> <li>Review contracts and third-party agreements for privacy compliance requirements</li> <li>Support data breach identification, assessment, and notification procedures</li> <li>Assist in embedding privacy by design across new projects and system implementations</li> </ul> <p><strong>What We're Looking For</strong></p><br> <ul> <li>7+ years of experience in data privacy, data protection, or a compliance role with a strong privacy focus</li> <li>Working knowledge of Saudi Arabia's PDPL and SDAIA framework — essential</li> <li>Broader international privacy knowledge (GDPR, CCPA) is advantageous</li> <li>CIPP, CIPM, or equivalent privacy certification preferred</li> <li>Experience in large, regulated organisations — energy, petrochemical, or industrial sector preferred</li> <li>Strong attention to detail and ability to manage multiple workstreams simultaneously</li> <li>Good stakeholder communication skills across technical and non-technical audiences</li></ul> <p><span>Vertical:&nbsp;</span></p><br> <p>Technology</p><br> <br> <br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Company Description Elite Digital Technologies enables organizations to drive digital transformation using advanced technologies such as Artificial Intelligence, Machine Learning, Blockchain, Internet of Things, and cloud computing. The company helps clients balance the adoption of new digital solutions with the restructuring or replacement of legacy systems. Elite Digital emphasizes strategic partnerships and collaboration with vendors and industry leaders to deliver strong value propositions and premium support. As a Microsoft Partner, the company leverages enterprise-proven tools and resources to accelerate go-to-market strategies and develop flexible, robust, and cost-effective solutions for its customers. Role Description This is a contract, on-site Data Scientist role based in Riyadh. The Data Scientist will work closely with cross-functional teams to collect, clean, and analyze data from various sources, and build statistical and machine learning models that support business decisions and digital transformation initiatives. Day-to-day responsibilities include designing experiments, performing exploratory data analysis, creating dashboards and visual reports, and communicating insights to technical and non-technical stakeholders. The role also involves collaborating with engineers and product teams to deploy analytical solutions, monitoring model performance, and recommending improvements to data pipelines and decision processes. Qualifications Strong foundation in Data Science and Statistics, with the ability to design experiments and build predictive models. Proficiency in Data Analytics and Data Analysis for extracting insights and supporting data-driven decision-making. Experience with Data Visualization tools and practices for creating clear, actionable dashboards and reports. Hands-on experience with programming languages commonly used in data science (such as Python or R) and SQL. Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, Tensor Flow, PyTorch) is highly beneficial. Knowledge of cloud platforms and data engineering concepts, including data pipelines and ETL processes, is an advantage. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings in a clear, concise manner. Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Ability to work on-site in Riyadh and collaborate effectively in a multicultural, cross-functional environment. Bachelor’s in Data Science or equivalent; Responsible AI/SDAIA training; minimum 3 years, including experience with the relevant domain data.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Eram Talent is seeking an experienced Data Analyst – Operational Excellence &amp; Compliance to join our team, specializing in the Oil &amp; Gas sector.<br> This role focuses on leveraging data analytics to drive operational efficiency and compliance within the industry, contributing to safety, quality, and environmental goals.<br> Key Responsibilities Develop and implement a comprehensive data management strategy to support the Operational Excellence &amp; Compliance Division's safety goals and objectives.<br> Design, build, and maintain dashboards and reports to provide insights and trends on safety performance, identifying areas for improvement and opportunities for optimization.<br> Develop and implement data management solutions, including data collection, storage, and analysis, to support safety-related data and metrics.<br> Collaborate with stakeholders to identify and prioritize data requirements, and develop solutions to meet those needs.<br> Develop and maintain data quality control processes to ensure accuracy, completeness, and consistency of safety data.<br> Provide technical leadership and guidance to junior team members, and mentor them in the development of their skills and expertise.<br> Collaborate with the IT department to implement new software and systems, including: Providing system requirements and specifications to ensure alignment with business needs.<br> Participating in the design and development of new systems and software.<br> Conducting testing and quality assurance to ensure system functionality and performance.<br> Providing training and support to end-users to ensure successful adoption and utilization of new systems and software.<br> Ensure compliance with relevant company policies, procedures, and regulatory requirements related to data management and safety reporting.<br> Bachelor's degree in a related field (e.<br>g. Computer Science, Information Technology).<br> Minimum 10 years of experience in business analysis, preferably in the Oil &amp; Gas industry, with a strong background in Safety.<br> Strong knowledge of business analysis principles, data analysis, and reporting techniques.<br> Experience with data management, including data collection, storage, and analysis.<br> Strong analytical, problem-solving, and communication skills.<br> Ability to work in a team environment and collaborate with stakeholders at all levels.<br> Proficiency in programming languages, such as SQL, Python, and R.<br> Experience with data visualization tools, such as Tableau or Power BI.<br> Knowledge of machine learning and artificial intelligence techniques, including predictive analytics and data mining.<br> Certification in business analysis, such as Certified Business Analyst Professional (CBAP) or Certified Management Consultant (CMC), is preferred.<br> Experience with cloud-based business analysis tools and platforms, is preferred but not required</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

About Maaden<br><br> JOB DESCRIPTION <br><br>Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.<br><br>Job Purpose<br><br>The Principal Specialist, Data Modeling & Architecture (OT) is the architectural authority for modeling operational technology (OT) and industrial data, ensuring consistent representation of assets, events, measurements, and production contexts across plants, sites, and operational systems. The role enables trusted OT analytics by defining standard models that align historians, SCADA/DCS, condition monitoring, and maintenance data with enterprise IT data products.<br><br>The position ensures OT constraints—such as high-volume time-series data, latency requirements, site variability, and intermittent connectivity—are addressed through practical modeling patterns, semantic consistency, and governance-by-design across OT-to-IT integration.<br><br>Key Accountabilities<br><br>Define OT data modeling standards for time-series, events, alarms, and asset hierarchies to support operational analytics and reliability use cases. Establish canonical OT concepts (asset, tag, measurement, work order linkage, location hierarchy) and ensure consistent adoption across sites and solutions. Architect OT-to-IT data alignment patterns that map operational measurements to enterprise entities for cross-domain reporting and performance analysis. Ensure OT models account for historian characteristics (high frequency, compression, interpolation, quality flags) and streaming ingestion patterns. Design scalable schemas for curated OT layers and OT data products, including auditability, lineage, and quality attributes. Partner with OT engineering, cyber/security, and platform teams to ensure secure, segmented, and compliant design for OT data flows. Review OT data solution designs and vendor deliverables; provide design authority to resolve modeling trade-offs and ensure long-term maintainability. Define reusable patterns for site onboarding and variability handling (naming normalization, tag mapping, unit standardization, reference data). Coach engineers and modelers on OT semantics and modeling best practices; lead design reviews for critical OT initiatives.<br><br>Minimum Qualification, Experience And Competencies<br><br>Minimum Qualification<br><br>Bachelor’s degree in Computer Science/Engineering, Industrial Engineering, Data Engineering, or related field. Master’s degree preferred; OT/industrial systems background is an advantage.<br><br>Minimum Experience<br><br>10–15 years of experience in data modeling/architecture with demonstrated exposure to OT/industrial data landscapes. Experience working with historians, industrial protocols/systems, and integrating OT data into enterprise analytics platforms.<br><br>Maaden High Performance Competencies<br><br>Strategic Thinking & Decision Making – Anticipates implications and guides enterprise direction. Collaboration & Influencing – Aligns diverse stakeholders without direct authority. Execution Excellence – Sets high standards and ensures measurable outcomes. Innovation & Adaptability – Applies modern practices and evolves standards pragmatically. Change Leadership – Drives adoption, governance, and continuous improvement.<br><br>Skills<br><br>Deep understanding of OT data characteristics (time-series, events, alarms, quality flags) and asset hierarchies. Ability to model and integrate OT and IT data for enterprise analytics and operational performance reporting. Knowledge of SCADA/DCS/historians, sensors, and industrial context; familiarity with reliability/maintenance data linkages. Strong governance-by-design mindset including classification, access control, and auditability for industrial data. Stakeholder engagement across plant/site operations, OT engineering, IT, and data platform teams.

We are looking for a Senior Data Integration Developer with strong expertise in SSIS, Informatica Power Center, Oracle, and Microsoft SQL Server to design, develop, and maintain enterprise-grade data integration and ETL solutions.<br><br>Key Responsibilities: Design, develop, test, and maintain enterprise-grade ETL solutions using SQL Server Integration Services (SSIS) and Informatica Power Center. Build, optimize, and support data integration workflows to meet business and operational requirements. Design and implement scalable data warehousing solutions. Execute and support large-scale data migration projects while ensuring data quality, consistency, and integrity. Develop, optimize, and maintain Oracle PL/SQL packages, procedures, functions, and triggers. Develop advanced T-SQL scripts, stored procedures, and optimize performance in Microsoft SQL Server. Analyze business and technical requirements and recommend scalable data integration solutions. Troubleshoot ETL failures, resolve performance bottlenecks, and address data quality issues. Collaborate with business stakeholders, solution architects, database administrators, and development teams to deliver high-quality solutions. Adhere to coding standards, documentation best practices, and change management processes. Participate actively in Agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives<br><br>Requirements<br><br>Min 5+ Years of experience in SQL Server Integration Services (SSIS 2019) for designing, developing, and deploying ETL solutions. Extensive experience in Informatica Power Center development, including ETL workflows, mappings, and performance optimization. Proven expertise in enterprise ETL architecture, design, development, and optimization for large-scale data integration projects. Strong understanding of data warehousing concepts, including dimensional modeling, data marts, and ETL best practices. Hands-on experience in data migration planning, execution, validation, and reconciliation across enterprise systems<br><br>Database Technologies<br><br> Strong experience with Oracle Database administration and development. Expertise in Oracle PL/SQL programming, including packages, procedures, functions, triggers, and performance tuning. Extensive experience with Microsoft SQL Server development and administration. Advanced proficiency in T-SQL, including query optimization, indexing strategies, stored procedures, and performance tuning

Company Description Starways is a Saudi technology partner specializing in complex government digital transformation across the Kingdom. Since 2009, the company has delivered more than 100 projects for over 70 government clients, maintaining a 99% on-time delivery rate. Starways builds government-grade platforms aligned with SDAIA, PDPL, NCA, and ISO compliance frameworks and supports client teams in fully owning these solutions. Its core expertise includes digital government platforms, AI and data, cloud and Dev Ops, enterprise applications, RPA, and technical outsourcing for leading public sector organizations.<br>Role Description The Data Analyst role at Starways is a full-time, on-site position based in Riyadh, Saudi Arabia. The Data Analyst will collect, clean, and analyze data from various government platforms to generate actionable insights that support service improvement and strategic decision-making. Responsibilities include building reports and dashboards, performing statistical analyses, and developing data models that align with regulatory and compliance frameworks. The role also involves collaborating with cross-functional teams, presenting findings in clear formats, and contributing to the continuous enhancement of data quality and performance metrics for government clients.<br>Qualifications<br> Candidates should possess strong Analytical Skills and Data Analytics capabilities to interpret complex datasets and identify trends. Candidates should possess solid Statistics knowledge to design analyses, validate results, and support data-driven decisions. Candidates should possess Data Modeling skills to structure, optimize, and maintain data models for reporting and integration. Candidates should possess clear and effective Communication skills to present insights and collaborate with technical and non-technical stakeholders. Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field. Proficiency in relevant tools (e.g., SQL, Excel, BI tools such as Power BI or Tableau; experience with Python or R is a plus). Experience working with enterprise or government data platforms and familiarity with data governance and compliance frameworks is beneficial. Ability to work on-site in Riyadh, manage multiple projects, and adapt to a fast-paced, mission-driven environment.

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.<br>About The Role:This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.<br>Perform statistical analysis and data exploration to extract meaningful insights from complex datasets Support the development and validation of predictive models to identify trends and patterns Contribute to the development of AI/ML models and data-driven solutions Conduct exploratory data analysis to support decision-making and operational planning Assist in building and maintaining data pipelines for data collection, processing, and integration Collaborate with data scientists, engineers, and cross-functional teams to improve data workflows Develop scripts and tools to automate repetitive tasks and improve efficiency Support initiatives to enhance data quality, structure, and accessibility Apply basic experimental and analytical approaches to test ideas and evaluate outcomes Contribute to improving data systems, workflows, and analytical capabilities Assist in identifying data gaps, inconsistencies, and opportunities for optimization Participate in team meetings, project discussions, and knowledge-sharing sessions<br>Education Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.<br>Required Skills Proficiency in Python, R, SQL, or similar programming languages. Experience with data visualization platforms such as Power BI or Tableau. Strong understanding of statistical techniques and modeling approaches. Foundational knowledge of AI/ML concepts and applications. Experience working with relational and/or NoSQL databases. Familiarity with cloud-based big data technologies. Ability to explain complex technical findings to non-technical audiences. Understanding of intelligence analysis processes and mission requirements. Experience working with structured and unstructured datasets in complex environments.<br>Experience Minimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.<br>Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

???? Hiring: Data Engineer | Saudi Arabia<br><br>A leading global energy technology and oil & gas services company is seeking a Data Engineer to join a major project in Saudi Arabia<br>Senior Data Engineer<br>Experience: 3 & 7+ Years | Education: Bachelor's Degree<br>Key Responsibilities & Requirements:<br> Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Perform data curation, cleansing, transformation, and integration to ensure high-quality datasets. Collaborate with cross-functional teams to optimize data architecture, data flow, and analytics readiness. Strong experience with data engineering tools, databases, and cloud-based data platforms. Ability to troubleshoot, monitor, and improve data pipeline performance and reliability.<br>???? Location: Saudi Arabia<br>Jeddah This is an exciting opportunity to contribute to high-impact exploration projects within a dynamic and innovative environment<br>About KLANIK:Klanik is an IT consulting company providing solutions to some of the world’s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main businesrsecurity Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas. Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values. We’re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.<br>About The Role:This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.<br>Perform statistical analysis and data exploration to extract meaningful insights from complex datasets Support the development and validation of predictive models to identify trends and patterns Contribute to the development of AI/ML models and data-driven solutions Conduct exploratory data analysis to support decision-making and operational planning Assist in building and maintaining data pipelines for data collection, processing, and integration Collaborate with data scientists, engineers, and cross-functional teams to improve data workflows Develop scripts and tools to automate repetitive tasks and improve efficiency Support initiatives to enhance data quality, structure, and accessibility Apply basic experimental and analytical approaches to test ideas and evaluate outcomes Contribute to improving data systems, workflows, and analytical capabilities Assist in identifying data gaps, inconsistencies, and opportunities for optimization Participate in team meetings, project discussions, and knowledge-sharing sessions<br>Education Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.<br>Required Skills Proficiency in Python, R, SQL, or similar programming languages. Experience with data visualization platforms such as Power BI or Tableau. Strong understanding of statistical techniques and modeling approaches. Foundational knowledge of AI/ML concepts and applications. Experience working with relational and/or NoSQL databases. Familiarity with cloud-based big data technologies. Ability to explain complex technical findings to non-technical audiences. Understanding of intelligence analysis processes and mission requirements. Experience working with structured and unstructured datasets in complex environments.<br>Experience Minimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.<br>Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Key Responsibilities</b></p><ul> <li>Develop and implement a comprehensive data management strategy to support the Operational Excellence &amp; Compliance Division's safety goals and objectives.</li> <li>Design, build, and maintain dashboards and reports to provide insights and trends on safety performance, identifying areas for improvement and opportunities for optimization.</li> <li>Develop and implement data management solutions, including data collection, storage, and analysis, to support safety-related data and metrics.</li> <li>Collaborate with stakeholders to identify and prioritize data requirements, and develop solutions to meet those needs.</li> <li>Develop and maintain data quality control processes to ensure accuracy, completeness, and consistency of safety data.</li> <li>Provide technical leadership and guidance to junior team members, and mentor them in the development of their skills and expertise.</li> <li>Collaborate with the IT department to implement new software and systems, including:</li> <li>Providing system requirements and specifications to ensure alignment with business needs.</li> <li>Participating in the design and development of new systems and software.</li> <li>Conducting testing and quality assurance to ensure system functionality and performance.</li> <li>Providing training and support to end-users to ensure successful adoption and utilization of new systems and software.</li> <li>Ensure compliance with relevant company policies, procedures, and regulatory requirements related to data management and safety reporting.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in a related field (e.g. Computer Science, Information Technology).</p> <ul> <li>Minimum 10 years of experience in business analysis, preferably in the Oil &amp; Gas industry, with a strong background in Safety.</li> <li>Strong knowledge of business analysis principles, data analysis, and reporting techniques.</li> <li>Experience with data management, including data collection, storage, and analysis.</li> <li>Strong analytical, problem-solving, and communication skills.</li> <li>Ability to work in a team environment and collaborate with stakeholders at all levels.</li> <li>Proficiency in programming languages, such as SQL, Python, and R.</li> <li>Experience with data visualization tools, such as Tableau or Power BI.</li> <li>Knowledge of machine learning and artificial intelligence techniques, including predictive analytics and data mining.</li> <li>Certification in business analysis, such as Certified Business Analyst Professional (CBAP) or Certified Management Consultant (CMC), is preferred.</li> <li>Experience with cloud-based business analysis tools and platforms, is preferred but not required</li> </ul><p></p></section>

Job Title – Data Program Manager (Data Lakehouse) Company – TCS (MEA) Location – Jeddah, KSAJob type – Full time<br><br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News<br>.<br>Job Description:Key Responsibilities Program Leadership & Governance Own overall delivery of Data Lakehouse program Establish and manage program governance framework, steering committees, and reporting cadence Ensure alignment to Banking strategy, architecture, and regulatory requirements (NDMO/NDI) Drive decision-making, issue resolution, and escalation manageme<br>nt<br>2. Phase 1 Remediation Oversight Lead assessment of Phase 1 deliverables (pipelines, models, mappings) Ensure:Root cause analysis of defects Closure of all critical/high defects Define rebuild vs reuse strategy Track remediation progress via defect resolution trac<br>ker<br>3. Delivery Management (Phase 2 Scope) Oversee execution across:Source system onboarding Data model completion (FSLDM / FSAS alignment) Historical data migration and reconciliation Reporting repointing support Manage end-to-end delivery lifecycle (Design → Build → Test → Deploy → Stabil<br>ize)<br>4. Data Quality & Reconciliation Assurance Ensure ≥99% data reconciliation accuracy across:Source systems Legacy DWH / EDMData Lakehouse layers Drive data validation, completeness, and consistency checks Ensure business sign-off read<br>iness<br>5. Stakeholder & Vendor Management Act as primary interface between stakeholders, business teams, and multiple vendors Coordinate with:Reporting vendor (for repointing) Data governance teams Infrastructure & security teams Ensure alignment across business, IT, and external pa<br>rtners<br>6. Planning & Execution Develop and manage:Program plan and detailed execution roadmap Sprint planning and backlog prioritization Track:Milestones, deliverables, dependencies Risks, issues, and mitigation plans Ensure on-time, on-budget d<br>elivery<br>7. Risk & Issue Management Identify and manage:Technical, data, and integration risks Maintain:Risk register and mitigation plans Ensure no impact to production SLAs and business op<br>erations<br>8. Reporting Repointing Enablement Ensure readiness for:Data availability Data model clarity Performance SLAsSupport:Data issue resolution Reconciliation cycles until business<br> approval<br>9. Compliance & Quality Assurance Ensure adherence to:Architecture and security policies Data governance standards Validate:Zero critical defects at go-live Full compliance with acceptanc<br>e criteria<br>10. Team & Resource Management Lead cross-functional teams (onsite + offshore) Manage:Architects, data engineers, testers, analysts Ensure productivity and adherence to 70/30 h<br>ybrid model<br>Key Technical & Domain Skills Mandatory Strong understanding of:Data Lakehouse architecture (Bronze/Silver/Gold) Data warehousing (Teradata, Oracle) ETL/ELT platforms (Informatica, Data Stage) Big Data ecosystem (Cloudera, Spark, Kafka) Experience in:Data migration & reconciliation Enterprise data modeling (FSLD<br>M preferred)<br>Domain Expertise Banking & Financial Services (Mandatory) Familiarity with Regulatory reporting ,AML, risk, payments, <br>trade domains<br>Program Management Skills Agile & Waterfall delivery models Strong governance, PMO, and reporting skills Experience managing large multi-v<br>endor programs<br>Deliverables Owned Program Plan & Execution Roadmap Phase 1 Assessment & Remediation Plan Weekly Status Reports (Risks, Issues, Progress) Data Reconciliation & Validation Reports Stakeholder Communication & Governance Artifacts Go-Live Readiness & Sign-of<br>f Documentation<br>Success Criteria (Aligned to RFP)≥99% data reconciliation accuracy Zero critical defects at production go-live Successful onboarding of all 22 systems Full data model alignment (FSLDM / FSAS) Stable production system enabling legacy decommissioning Successful report repointing support with b<br>usiness sign-off<br>Soft Skills Strong leadership and executive communication Excellent stakeholder engagement skills Ability to manage ambiguity and complex environments Strong problem-solving and decision-<br><br>making capability<br><br>Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest i<br>n this opportunity.<br>Application Dead<br>line: 30- June -2026<br>Privacy Note:https://www.tcs.com/connect-wi<br>th-tcs/privacy-policy

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Link: https://ziphire.<br>hr/job/e44eef24-e471-4394-92de-47a6440ca342 Job Title: Data Analyst At iHR (International Human Resources), we recognize the transformative power of data in driving strategic decision-making within the technology sector.<br> We are seeking a skilled Data Analyst to join our dynamic team in Jeddah, Makkah.<br> This role is pivotal as you will harness data to uncover insights that inform our business strategies, enhance operational efficiency, and ultimately contribute to our mission of providing exceptional HR solutions globally.<br> In this position, you will be responsible for collecting, analyzing, and interpreting complex datasets, while collaborating with cross-functional teams to identify trends and patterns that inform key business decisions.<br> You will design and implement data models, develop dashboards, and present your findings to stakeholders, ensuring that our teams are equipped with actionable insights to enhance performance and drive innovation.<br> The ideal candidate will possess a degree in Data Science, Statistics, or a related field, accompanied by proven experience in data analysis within a technology environment.<br> Proficiency in analytical tools such as SQL, Python, or R, along with strong problem-solving skills and the ability to communicate complex data concepts to non-technical audiences, is essential.<br> This opportunity is exciting not only for the chance to work with cutting-edge technology but also for the potential to influence strategic initiatives that shape the future of our organization.<br> Join us at iHR and be part of a team that values data-driven insights and fosters a culture of continuous improvement in the fast-paced world of technology.<br> •Opportunity to work with cutting-edge technology •Potential to influence strategic initiatives that shape the future of the organization •Culture of continuous improvement in the fast-paced world of technology •Degree in Data Science, Statistics, or a related field •Proven experience in data analysis within a technology environment</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p><p><b>Job Summary:</b><br />We are looking for a detail-oriented Supply Chain Data Analyst to join our team. The successful candidate will be responsible for analyzing data related to our supply chain operations to improve efficiency and streamline processes.<br /><br /><b>Job Responsibility:</b><br />- Analyzing supply chain data to identify trends, opportunities, and potential risks<br />- Developing and maintaining databases and systems to track supply chain metrics<br />- Collaborating with cross-functional teams to gather data and insights<br />- Generating reports and presenting findings to key stakeholders<br />- Implementing data-driven solutions to optimize supply chain processes<br /><br /><b>Candidate Requirements:</b><br />- Bachelor\'s degree in Supply Chain Management, Logistics, Business Analytics, or a related field<br />- Proven experience as a data analyst, preferably in a supply chain or logistics setting<br />- Proficiency in data analysis tools and software<br />- Strong analytical and problem-solving skills<br />- Excellent communication and presentation abilities<br />- Ability to work well in a team and collaborate with different departments.</p></p>

Company Description Starways is a Saudi technology partner specializing in complex government digital transformation initiatives. Since 2009, the company has delivered over 100 projects for more than 70 government clients, maintaining a 99% on-time delivery rate. Starways designs and operates government-grade platforms that comply with SDAIA, PDPL, NCA, and ISO frameworks, supporting critical public services from housing and inspection to trade licensing and citizen digital journeys. Its core capabilities span Digital Government Platforms, AI & Data, Cloud & Dev Ops, Enterprise Applications, RPA, and Technical Outsourcing. Starways is trusted by leading Saudi government entities, including the Ministry of Housing, NHC, ELM, Ministry of Energy, SASO, DGA, and many others.<br>Role Description This is a full-time, on-site Data Scientist role based in Riyadh, Saudi Arabia. The Data Scientist will work closely with cross-functional teams to design and implement data-driven solutions that support government platforms and digital services. Day-to-day responsibilities include collecting, cleaning, and modeling data; performing statistical and exploratory analyses; and building predictive and machine learning models to address complex business and policy questions. The role involves creating dashboards and visualizations to communicate insights to technical and non-technical stakeholders, as well as documenting methodologies and presenting findings in a clear, actionable manner. The Data Scientist will contribute to continuous improvement of data pipelines, collaborate on AI and analytics initiatives, and help ensure that solutions meet regulatory and compliance requirements.<br>Qualifications<br> Candidates should possess strong skills in Data Science and Data Analytics for building models, deriving insights, and solving complex analytical problems. Candidates should possess practical experience in Data Analysis and Statistics for hypothesis testing, experimental design, and rigorous quantitative evaluation. Candidates should possess proficiency in Data Visualization for designing dashboards and reports that clearly communicate trends and performance indicators. Proficiency in programming languages such as Python or R, and experience with data tools (e.g., SQL, Pandas, Num Py, scikit-learn, or similar frameworks). Experience with machine learning techniques and model lifecycle, including feature engineering, evaluation, deployment, and monitoring. Familiarity with cloud platforms and data infrastructure (e.g., AWS, Azure, or GCP), and version control tools such as Git. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly to diverse stakeholders. Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field; experience in government or regulated industries is an advantage.

<p>The Business Data Analyst II role has a national salary range of $55,000 - $90,000.</p><p>For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000.</p><p>DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy.</p><p><br></p><p>Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we’re looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact—this role is for you!</p><p><br></p><p><strong>Job Description</strong></p><p>As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. You’ll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement.</p><p>Responsibilities</p><ul><li>Develop and maintain Power BI reports to support operational and strategic decisions</li><li>Full development of Power BI including data visualization and back-end data model design</li><li>Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements</li><li>Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction</li><li>Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs</li><li>Translate complex data into clear, actionable insights through presentations and reports for internal and customer use</li><li>Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)</li></ul><p><br></p><p><strong>Required Experience</strong></p><ul><li>Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required</li><li>0–2 years of experience in data analytics, business intelligence, or a related field, required</li><li>Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred</li><li>Proficiency in Power BI, including building dashboards and reports, required</li><li>Experience writing DAX expressions to automate and enhance Power BI reports, preferred</li><li>Familiarity with statistical concepts and data modeling techniques, preferred</li><li>Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred</li><li>Must be able to work fully onsite if role based out of a warehouse, required</li></ul><p><br></p><p>Our Organization is an equal opportunity employer.</p>

About the job Group Data Protection Officer (DPO) Holding Company Jeddah, Saudi Arabia<br>The Opportunity TSC is partnering with a leading holding company to appoint a Group Data Protection Officer (DPO) who will lead the Group's enterprise-wide data privacy and protection framework. This is a strategic leadership role responsible for ensuring compliance with the KSA Personal Data Protection Law (PDPL). The successful candidate will serve as the Group's primary privacy advisor, driving governance, regulatory compliance, and a strong data protection culture throughout the organization.<br><br>About the role Lead the implementation and continuous monitoring of the Group's data privacy framework in line with the KSA PDPL. Act as the primary point of contact with SDAIA and coordinate regulatory communications and compliance initiatives. Oversee Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), Legitimate Interest Assessments (LIAs), and Transfer Impact Assessments (TIAs). Advise business and technology teams on Privacy by Design principles and privacy risk management. Coordinate personal data breach response activities and regulatory notifications where required. Drive consistency across subsidiary DPOs and strengthen enterprise-wide privacy governance. Promote a culture of data privacy through awareness, training, and engagement initiatives. Provide regular reporting and strategic recommendations to senior leadership on privacy risks and compliance.<br>Key Requirements The successful candidate will combine strong regulatory expertise with the ability to influence senior stakeholders across a complex group structure. You will demonstrate:8+ years of experience in data protection, privacy, legal, compliance, or risk management. Hands-on expertise in the KSA PDPL, its Implementing Regulations, and SDAIA/NDMO requirements. Strong knowledge of privacy operations, including RoPA, DPIAs, breach management, Data Subject Rights, and cross-border data transfers. Familiarity with international privacy and security frameworks such as GDPR and ISO 27001. Experience operating within a multi-entity or holding company environment is highly preferred. Bachelor's degree in Law, Information Governance, Cybersecurity, Information Technology, or a related discipline, with a recognized privacy certification considered an advantage. Fluency in both Arabic and English, with excellent stakeholder management and communication skills.

<p><p style=\"color: #333333; background-color: #ffffff;\"><b><span style=\"color: #404040;\">functional Accountabilities:</span></b></p> <p><br style=\"color: #333333; background-color: #ffffff;\"><br></p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Maintain assortment database updated with the most recent records, as per the master data file of trading SKUs.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Ensure accurate data input for Store clusters, typologies, planograms and capacities.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Reflect the planogram data updates & capacities on the assortment database.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Maintain SKU categories & Store clusters updated & matched as per the assortment Database proper format.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Ensure accurate reflection of the assortment Database on the Business Information platform.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Ensure accuracy of data transferred from assortment DB to MDM team & supply chain team.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Communicate Master Data Management team with required Item-Loc updates on RMS as per the assortment DB & validate successful updates are being executed.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Own the updates of Merchandiser Code field on Item Master Data File for all trading SKUs.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Collect, validate & consolidate the data required from commercial team to prepare mass upload files ready to RMS.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Receive, validate & reflect the requests received from commercial team on the assortment Database.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Keep safe data archiving for all performed updates on the corporate&rsquo;s shared folder.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Export raw data requested by the merchandise planning department using Business Information platform.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Extract, consolidate & organize data required for internal analysis in a representative format.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Update MP dashboards & scorecards for related trading Business Units.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Perform analysis for internal SRD/Commercial use upon request.</li> </ul> <p><br><br style=\"color: #333333; background-color: #ffffff;\"></p> <p style=\"color: #333333; background-color: #ffffff;\"><b><u>Customer:</u></b></p> <p><br style=\"color: #333333; background-color: #ffffff;\"><br></p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Coordinate with the commercial & merchandising teams to capture accurate and complete assortment records.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Ensure that all stakeholders in the merchandising process are kept updated on the processes and most recent changes.</li> </ul> <p>&nbsp;</p> <ul style=\"color: #333333; background-color: #ffffff;\"> <li>Ensure that stakeholder feedback is sought, reviewed and where applicable used.</li> </ul></p>