وظائف مدخل بيانات - عمّان الأردن

<p>Data entry clerk needed at Shaab Roasters</p><p>Working hours are 9 hours with a break hour</p><p>Friday off</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>This role is within Amazon's corporate operations, where as a member of Amazon's AI Data Associate team, you will be part of a team that is responsible for the quality of data that is used to train and improve our AI models.</p><p>We are looking for individuals who are passionate about data, possess a keen eye for detail, and have a strong <b>understanding of the Arabic language. You will be working with large datasets, performing data annotation, data validation, and contributing to the overall improvement of our AI capabilities.</b></p><p><b>Key Responsibilities:</b></p><ul><li>Annotate and label data accurately according to project guidelines.</li><li>Perform quality checks on data to ensure accuracy and consistency.</li><li>Identify and report data discrepancies and issues.</li><li>Collaborate with team members to achieve project goals.</li><li>Contribute to the development and refinement of data annotation guidelines.</li><li>Participate in training sessions and knowledge sharing activities.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Associate's degree or above</li><li>Good knowledge in both spoken and written English</li><li>Language fluency in written and spoken Arabic</li><li>Strong business writing skills with ability to create reports, proposals, and professional correspondence</li><li>Bachelor's degree in a relevant field</li><li>1+ years of project coordination experience</li><li>Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization</li><li>2+ years of professional work experience</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><span ><b>Description</b></span></div><div><span >AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.</span></div><div><span ><br></span></div><div><span >We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!</span></div><div><span ><br></span></div><div><br></div><div><span ><b>Key job responsibilities</b></span></div><div><span >- Maintain and follow strict confidentiality as customer privacy is our most important tenet.</span></div><div><span >- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video.</span></div><div><span >- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.</span></div><div><span >- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.</span></div><div><span >- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.</span></div><div><span >- Eye for detail and ability to pivot from one category of requirement to another instantaneously.</span></div><div><span >- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team.</span></div><div><span >- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.</span></div><div><span >- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations.</span></div><div><span >- Demonstrate ownership in floor support to clarify internal queries during execution on need basis.</span></div><div><span ><br></span></div><div><span ><b>A day in the life</b></span></div><div><span >We are looking for an AI Data Associate to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.</span></div><div><span ><br></span></div><div><span >Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.</span></div><div><span ><br></span></div><div><span ><b>Basic Qualifications</b></span></div><div><span >- Associate's degree or above</span></div><div><span >- Good knowledge in both spoken and written English</span></div><div><span >- Language fluency in written and spoken Arabic</span></div><div><span >- Strong business writing skills with ability to create reports, proposals, and professional correspondence</span></div><div><span >- Advanced reading comprehension with ability to analyze complex business documents</span></div><div><span >- Developed analytical thinking and structured problem-solving capabilities</span></div><div><span >- Strong ability to interpret and implement detailed instructions across various projects</span></div><div><span >- Proficient research skills with experience gathering and synthesizing information from multiple sources</span></div><div><span >- Proven attention to detail in managing complex tasks and documents</span></div><div><span ><br></span></div><div><span ><b>Preferred Qualifications</b></span></div><div><span >- Bachelor's degree in a relevant field</span></div><div><span >- 1+ years of project coordination experience</span></div><div><span >- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization</span></div><div><span >- 2+ years of professional work experience with demonstrated task execution ability</span></div><div><span >- Proven capacity to leverage open-source resources effectively for comprehensive research purposes • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy</span></div><div><span >- Advanced proficiency in Microsoft Office Suite and common business applications. Our inclusive culture empowers Amazonians to deliver the best results for our customers.</span></div><div><br></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Associate's degree or above</p><p>Good knowledge in both spoken and written English</p><p>Language fluency in written and spoken Arabic</p><p>Strong business writing skills with ability to create reports, proposals, and professional correspondence</p><p>Adv- Bachelor's degree in a relevant field</p><p>1+ years of project coordination experience</p><p>Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization</p><p>2+ years of professional work experience with</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Director, Data &amp; Analytics to take ownership of the strategy, architecture, delivery, and operational performance of its Data &amp; Analytics function. This is a hands-on leadership role overseeing the enterprise data platform, the data products the business relies on, and the team behind them, setting technical direction, delivery standards, and investment priorities while staying personally engaged in key architecture and design decisions. The ideal candidate combines strong technical credibility with senior leadership experience, and will be directly accountable for making the platform AI-ready, ensuring data is governed, traceable, and model-grade to support regulated AI deployment.</p><p>Responsibilities:</p><p>1. Platform Architecture &amp; Engineering Leadership:</p><ul><li>Own the enterprise data platform, Azure Data Lake Storage Gen2, Databricks lakehouse (Medallion architecture), Power BI, and Unity Catalog, ensuring it is architecturally sound, standardised, reliable, and engineered to scale</li><li>Set and enforce platform engineering standards: ingestion patterns, transformation conventions, Medallion layer contracts, data quality gates, Bronze-to-Gold promotion criteria, and the CI/CD framework that delivers all of it</li><li>Own the Unity Catalog governance model, RBAC, lineage, business glossary, and metric definitions, as the platform-enforced foundation for trusted data</li><li>Drive the platform roadmap from current state to target, sequencing technical debt remediation, new capability build-out, and platform readiness for downstream AI and analytics demand</li><li>Personally lead design reviews and architecture decisions for the platform, engaging directly with the engineering team on complex technical problems where senior technical judgment is required</li><li>Own data platform observability and operational excellence, pipeline reliability, SLA adherence, incident response, and data quality monitoring</li></ul><p>2. Delivery &amp; Data Products:</p><ul><li>Run the D&amp;A delivery programme, from source ingestion and pipeline engineering through to analytics, semantic layer, and data product delivery for business functions</li><li>Set and enforce delivery standards: sprint cadence, code review, documentation, testing, validation, and release management practices that govern all team output</li><li>Define and own data SLAs to the business, pipeline refresh frequency, availability, and incident response commitments, and ensure delivery is held against them</li><li>Own the data integration roadmap, prioritising ingestion of new source systems into the lake in alignment with business demand and platform readiness</li><li>Manage complex integration challenges across source systems, engaging directly on technical constraints, working with upstream owners, and designing solutions that align data latency and refresh frequency with business needs</li><li>Own the portfolio of data products, datasets, semantic models, and analytics deliverables, ensuring each is documented, well-understood, and fit for the business question it answers</li><li>Define and own the standard for what a Gold-layer data product must satisfy to be AI-ready, distinguishing analytics-grade from model-training-grade, with explicit criteria covering completeness, label integrity, statistical consistency, and lineage traceability</li></ul><p>3. Data Governance &amp; Quality:</p><ul><li>Design and operate the data governance operating model, data ownership, stewardship, quality standards, business glossary, and metric definitions</li><li>Embed data quality gates into Medallion layer promotion, making quality a precondition of Bronze-to-Gold progression, with measurable thresholds and clear remediation paths</li><li>Own data lineage visibility across the platform so business users can trace the provenance of every number they rely on, end-to-end from source to dashboard</li><li>Lead the technical evaluation, selection, and implementation of enterprise data catalogue tooling, including integration with Unity Catalog and the platform metadata layer</li><li>Embed appropriate data handling, validation, and audit-trail practices for regulated data domains, partnering with Quality, Regulatory, and Legal to ensure compliance requirements are met by design</li><li>Establish data quality measurement as a managed practice, KPIs, dashboards, periodic review, and accountability with data owners</li><li>Establish data lineage and provenance practices that satisfy AI explainability and regulatory auditability requirements, including GxP-compliant audit trails for Quality, Manufacturing, and Regulatory AI use cases</li></ul><p>4. Team Leadership &amp; Capability Development:</p><ul><li>Lead, hire, and develop the D&amp;A team, Data Engineers, Analytics Engineers, BI Developers, and Business Analysts, sequencing hires in alignment with the platform roadmap and delivery demand</li><li>Define and evolve the role design, skills profile, and career framework for the team within the broader Data &amp; AI CoE structure</li><li>Set the team's performance culture: clear ownership, high engineering standards, fast feedback, continuous learning, and documentation as a team discipline</li><li>Coach and develop team members directly, identifying high-potential individuals, investing in their technical and leadership growth, and building bench strength across roles</li><li>Manage team capacity and allocation across the platform roadmap and business delivery demand, ensuring focus stays on high-value work aligned to strategic priorities</li><li>Set the engineering craft culture, code review, design review, pairing, and shared technical standards, that lifts the technical quality of all team output</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related discipline</p><p>Master's degree in Data Science, Computer Science, Business Administration, or related field is preferred</p><p>Relevant certifications in cloud data platforms (e.g., Azure Data Engineer, Databricks Certified Data Engineer Professional) are preferred</p><p>Minimum 10 years of progressive experience in data engineering, data platform, or enterprise analytics roles</p><p>Minimum 5 years in a senior leadership role with direct team management accountability, hiring, developing, and performance managing a multi-disciplinary technical team</p><p>Proven hands-on production experience with Databricks (Delta Lake, Unity Catalog) and Azure data services at platform-design and engineering-lead level</p><p>Proven track record building or substantially remediating a cloud-native data platform in a complex, multi-source enterprise environment</p><p>Experience with Medallion/lakehouse architecture patterns in production</p><p>Experience designing data products and platform capabilities for AI/ML consumption, including Feature Store design, training dataset engineering, and ML data lineage is preferred</p><p>Experience working at the interface of a data platform team and an AI/ML team, translating model requirements into data infrastructure specifications and owning the data readiness handoff is preferred</p><p>Experience leading a data governance or catalogue implementation, from design through to business adoption</p><p>Life sciences, pharmaceutical, or other regulated industry experience is preferred</p><p>Skills :</p><p>Technical Competencies:</p><ul><li>Data Platform Architecture</li><li>Data Engineering, Pipeline Design &amp; CDC Patterns</li><li>Data Modelling, Transformation &amp; Engineering Standards</li><li>Data Governance, Quality &amp; Catalogue</li><li>Analytics &amp; BI Delivery</li><li>MLOps &amp; ML Platform Foundations</li><li>Delivery Management &amp; Agile Methods</li></ul><p>Platform &amp; Technical Skills:</p><ul><li>Deep practical expertise in Azure data services: ADLS Gen2, Azure Data Factory, Azure DevOps</li><li>Hands-on production experience with Databricks, Delta Lake, notebooks, Unity Catalog, MLflow</li><li>Strong understanding of incremental load and CDC patterns across enterprise source systems (SAP, Veeva, SuccessFactors, and similar)</li><li>Power BI at the semantic layer level, understanding how the semantic layer should be designed for enterprise scale</li><li>CI/CD for data pipelines, practical implementation at production scale</li><li>Data quality frameworks, profiling, expectation testing, alerting, and remediation workflows</li><li>Working knowledge of modern data governance tooling: Unity Catalog, Collibra, Purview, or DataHub</li></ul><p>Leadership &amp; Business Skills:</p><ul><li>Credible with both technical teams and senior business stakeholders</li><li>Strong delivery discipline, owns commitments, communicates risks early, and sizes work realistically</li><li>Structured thinker, able to take a complex current state and produce a clear, prioritised, sequenced roadmap</li><li>Strong written and verbal communication in English; Arabic proficiency valued</li><li>Cultural intelligence for working effectively across MENA, US, and Europe</li></ul><p></p></section>

<p><h4>Description</h4> <p>Lead the design and implementation of enterprise data management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p> <h4>Key responsibilities</h4> <ul> <li>Lead enterprise data management and data governance initiatives.</li> <li>Develop data governance frameworks, policies, standards, and procedures.</li> <li>Define data ownership, stewardship, and accountability models.</li> <li>Establish data quality frameworks, KPIs, and monitoring processes.</li> <li>Design metadata management and business glossary structures.</li> <li>Develop master data management (MDM) strategies.</li> <li>Support data catalog implementation and governance.</li> <li>Define data lifecycle management processes.</li> <li>Develop data classification and data retention policies.</li> <li>Assess current-state data maturity and recommend improvements.</li> <li>Conduct data governance workshops with business stakeholders.</li> <li>Support implementation of governance tools and platforms.</li> <li>Ensure compliance with local and international regulations.</li> <li>Prepare executive reports, dashboards, and governance metrics.</li> <li>Mentor data management specialists.</li> </ul> <h4>Requirements</h4> <ul> <li>Enterprise data governance</li> <li>Data quality management</li> <li>Metadata management</li> <li>Master data management (MDM)</li> <li>Data catalog solutions</li> <li>Data lineage</li> <li>Data architecture concepts</li> <li>Data lifecycle management</li> <li>Data modeling fundamentals</li> <li>SQL knowledge</li> <li>BI concepts</li> <li>Data governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent)</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data management or data governance.</li> <li>Minimum 3 years leading enterprise data governance initiatives.</li> <li>Experience delivering consulting engagements.</li> </ul> <h4>Preferred certifications</h4> <ul> <li>DCAM</li> <li>CDMP</li> <li>DAMA</li> <li>Collibra certification</li> <li>Microsoft Purview certification</li> <li>Informatica certification</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Lead the design and implementation of enterprise data management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p> <h4>Key responsibilities</h4> <ul> <li>Lead enterprise data management and data governance initiatives.</li> <li>Develop data governance frameworks, policies, standards, and procedures.</li> <li>Define data ownership, stewardship, and accountability models.</li> <li>Establish data quality frameworks, KPIs, and monitoring processes.</li> <li>Design metadata management and business glossary structures.</li> <li>Develop master data management (MDM) strategies.</li> <li>Support data catalog implementation and governance.</li> <li>Define data lifecycle management processes.</li> <li>Develop data classification and data retention policies.</li> <li>Assess current-state data maturity and recommend improvements.</li> <li>Conduct data governance workshops with business stakeholders.</li> <li>Support implementation of governance tools and platforms.</li> <li>Ensure compliance with local and international regulations.</li> <li>Prepare executive reports, dashboards, and governance metrics.</li> <li>Mentor data management specialists.</li> </ul> <h4>Requirements</h4> <ul> <li>Enterprise data governance</li> <li>Data quality management</li> <li>Metadata management</li> <li>Master data management (MDM)</li> <li>Data catalog solutions</li> <li>Data lineage</li> <li>Data architecture concepts</li> <li>Data lifecycle management</li> <li>Data modeling fundamentals</li> <li>SQL knowledge</li> <li>BI concepts</li> <li>Data governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent)</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data management or data governance.</li> <li>Minimum 3 years leading enterprise data governance initiatives.</li> <li>Experience delivering consulting engagements.</li> </ul> <h4>Preferred certifications</h4> <ul> <li>DCAM</li> <li>CDMP</li> <li>DAMA</li> <li>Collibra certification</li> <li>Microsoft Purview certification</li> <li>Informatica certification</li> </ul></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Key Responsibilities:</p><ul><li><strong>Data Integration and ETL Development</strong>: Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform. Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability. Optimize data transformation workflows to improve performance and scalability.</li><li><strong>Data Infrastructure and Platform Management</strong>: Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements. Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.</li><li><strong>Data Governance and Metadata Management</strong>: Collaborate with the data governance team to establish data policies, standards, and procedures. Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability. Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>5-6 years of experience as a Data Engineer or a related role in a data-driven organization. Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services. Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb). Expertise in data modeling, data quality management, and metadata management. Proficient in programming languages such as Python, or Java, and experience with SQL. Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices. Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams. Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.</p><p>Preferred Qualifications:</p><ul><li>Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).</li><li>Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.</li><li>Project management experience and the ability to lead data integration and infrastructure initiatives.</li></ul><p>If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p><p>Responsibilities:</p><ul><li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li><li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li><li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li><li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li><li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li><li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li><li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li><li>Incorporate core data management competencies, including data governance, data security and data quality</li><li>Develop, implement, and maintain change control and testing processes for modifications to data models.</li><li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field. At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</p><p>Skills:</p><p>Soft Skills: Communication and Stakeholder Engagement Facilitation Creative thinking Problem solving Collaboration and teamwork Relationship management Storytelling Influencing Presentation Excellent English language verbal and written communication.</p><p>Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies Strong technical documentation Visualization skills Data management Data architecture AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding Strategic Data Management Regulatory Compliance Change management</p><p>Other skills : Project management capabilities Business case development Programming languages like SQL, Python, R Analytics and business intelligence tools like Microsoft Power BI Data modelling Version control</p><p></p></section>

<p><h4>Description</h4> <p>At Syarah, we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make. We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.</p> <p>This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business—proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.</p> <p>You will design and govern Syarah’s end-to-end data platform on GCP, unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.</p> <p>You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.</p> <h4>Key Responsibilities</h4> <ul> <li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li> <li>Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform)</li> <li>Design scalable ETL pipelines and unified star schema data models</li> <li>Integrate ERPNext and other operational systems into centralized data architecture</li> <li>Build and deploy containerized services using Docker on Cloud Run</li> <li>Develop and maintain Flask REST APIs for secure data sharing</li> <li>Own data DevOps, including CI/CD pipelines and infrastructure management</li> <li>Orchestrate workflows using Apache Airflow</li> <li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li> <li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li> <li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li> <li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li> <li>Translate data into executive-level business decisions and recommendations</li> <li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li> <li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li> <li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li> </ul> <h4>Requirements</h4> <ul> <li>7+ years of experience in data engineering, analytics, or data platform roles</li> <li>Proven experience in a data leadership or senior technical role</li> <li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li> <li>Advanced proficiency in Python and SQL</li> <li>Solid experience building and scaling data pipelines and ETL architectures</li> <li>Experience with API development (Flask or similar frameworks)</li> <li>Hands-on experience with Airflow or other workflow orchestration tools</li> <li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li> <li>Experience working with ERP systems (ERPNext or similar) is a plus</li> <li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li> <li>Experience in building or leading data teams</li> <li>Strong business acumen with ability to translate data into actionable insights</li> <li>Experience with CI/CD, Docker, and cloud infrastructure management</li> <li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li> <li>Excellent communication skills and ability to work closely with executive leadership</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span >Key Responsibilities</span></p><ul><li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li><li>Architect and manage Syarah s data platform on GCP (BigQuery, Cloud Run, Dataform)</li><li>Design scalable ETL pipelines and unified star schema data models</li><li>Integrate ERPNext and other operational systems into centralized data architecture</li><li>Build and deploy containerized services using Docker on Cloud Run</li><li>Develop and maintain Flask REST APIs for secure data sharing</li><li>Own data DevOps , including CI/CD pipelines and infrastructure management</li><li>Orchestrate workflows using Apache Airflow</li><li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li><li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li><li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li><li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li><li>Translate data into executive-level business decisions and recommendations</li><li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li><li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li><li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>7+ years of experience in data engineering, analytics, or data platform roles</li><li>Proven experience in a data leadership or senior technical role</li><li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li><li>Advanced proficiency in Python and SQL</li><li>Solid experience building and scaling data pipelines and ETL architectures</li><li>Experience with API development (Flask or similar frameworks)</li><li>Hands-on experience with Airflow or other workflow orchestration tools</li><li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li><li>Experience working with ERP systems (ERPNext or similar) is a plus</li><li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li><li>Experience in building or leading data teams</li><li>Strong business acumen with ability to translate data into actionable insights</li><li>Experience with CI/CD, Docker, and cloud infrastructure management</li><li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li><li>Excellent communication skills and ability to work closely with executive leadership</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable data-driven decision-making across the organization. The ideal candidate will have strong backend data engineering expertise and exposure to modern big data and AI-driven ecosystems.</p><p>Responsibilities:</p><ul><li>Design, develop, and optimize scalable data pipelines using Python or Java.</li><li>Build and maintain ETL/ELT frameworks using Apache Spark (Batch &amp; Streaming).</li><li>Write advanced SQL queries for data transformation, validation, and analytics.</li><li>Develop APIs to share data with other services.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Collaborate with Data Scientists, Analysts, and Product teams to support analytics and ML use cases.</li><li>Implement data validation, logging, and error-handling mechanisms.</li><li>Optimize pipeline performance and manage large-scale datasets.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li><li>5+ years of hands-on experience in Data Engineering or Big Data development.</li><li>Strong programming experience in Python and/or Java And scala.</li><li>Hands-on expertise with Apache Spark (Batch &amp; Streaming).</li><li>Experience with scripting (Python, Bash, Shell).</li><li>API (Python, Java) Development skills.</li><li>Understanding of distributed systems and big data architectures.</li><li>Good knowledge in AWS services (S3, RDS, Redshift, Glue, EMR, Athena, Lambda, etc.).</li><li>Strong experience in data modeling and data warehousing.</li><li>Hands-on experience with batch and streaming data processing, and workflow orchestration tools such as Apache Airflow.</li><li>Experience in API and data integration, with exposure to GenAI integrations (LLMs, LangChain) considered a plus.</li><li>Strong problem-solving and analytical skills and ability to work in a fast paced environment.</li><li>Excellent communication and documentation skills.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you are looking for , webook.com is Saudi s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.</p><p>Key Responsibilities:</p><ul><li>Analyze and mining business data to identify patterns and correlations among the various data points.</li><li>Map and trace data within the enterprise data framework in order to solve a given business or system problem.</li><li>Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.</li><li>Perform statistical analysis of the enterprise data.</li><li>Extract existing data to manipulate/calculate/format into useful presentations.</li><li>Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies .</li><li>Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.</li><li>Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.</li><li>Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.</li><li>Must support innovations by actively keeping technical and professional business knowledge current on emerging technology and Data Trends which may fit with enterprise needs.</li><li>Must be able to research and accurately articulate benefits and goals of these technologies.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelors Degree in in Computer Science, Management Information Systems, or a related field. Minimum of 4 years expiriance Overall Experience in information systems; background experience in ETL Processes, Application Development, Report Development, and Data Warehouse Projects.</p><p>Skills:</p><ul><li>Proficient in English written and verbal communication skills</li><li>Demonstrates excellent judgment and decision making skills</li><li>Demonstrated time management and priority setting skills</li><li>Excellent organizational skills</li><li>Possesses strong product knowledge</li><li>Possesses strong technical aptitude</li></ul><p></p></section>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you are looking for. Webook is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.</p> <h4>Key responsibilities:</h4> <ul> <li>Analyze and mine business data to identify patterns and correlations among the various data points.</li> <li>Map and trace data within the enterprise data framework in order to solve a given business or system problem.</li> <li>Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.</li> <li>Perform statistical analysis of the enterprise data. Extract existing data to manipulate, calculate, and format into useful presentations.</li> <li>Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies.</li> <li>Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.</li> <li>Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.</li> <li>Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.</li> <li>Support innovations by actively keeping technical and professional business knowledge current on emerging technology and data trends which may fit with enterprise needs. Must be able to research and accurately articulate benefits and goals of these technologies.</li> </ul> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Management Information Systems, or a related field.</p> <p>Minimum of 4 years experience.</p> <p>Overall experience in information systems; background experience in ETL processes, application development, report development, and data warehouse projects.</p> <h4>Skills:</h4> <ul> <li>Proficient in English written and verbal communication skills.</li> <li>Demonstrates excellent judgment and decision-making skills.</li> <li>Demonstrated time management and priority setting skills.</li> <li>Excellent organizational skills.</li> <li>Possesses strong product knowledge.</li> <li>Possesses strong technical aptitude.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Lead enterprise data privacy and personal data protection programs by developing privacy frameworks, policies, compliance controls, privacy risk assessments, and regulatory implementation aligned with applicable privacy laws and international standards.</p> <h4>Key Responsibilities</h4> <ul> <li>Develop enterprise data privacy framework.</li> <li>Create privacy policies and procedures.</li> <li>Conduct privacy impact assessments (PIA).</li> <li>Perform data protection impact assessments (DPIA).</li> <li>Design privacy by design controls.</li> <li>Define personal data classification standards.</li> <li>Develop consent management processes.</li> <li>Establish data subject rights procedures.</li> <li>Implement data retention and deletion policies.</li> <li>Support data breach management processes.</li> <li>Conduct privacy risk assessments.</li> <li>Map personal data processing activities.</li> <li>Ensure compliance with applicable privacy regulations.</li> <li>Deliver awareness sessions and stakeholder workshops.</li> <li>Support privacy audits and assessments.</li> </ul> <h4>Requirements</h4> <h4>Technical Skills</h4> <ul> <li>Personal data protection regulations</li> <li>Privacy risk assessment</li> <li>DPIA / PIA</li> <li>Privacy by design</li> <li>Data classification</li> <li>Data masking</li> <li>Data anonymization</li> <li>Data encryption fundamentals</li> <li>Identity & access management concepts</li> <li>Records management</li> <li>Information security fundamentals</li> <li>Privacy compliance tools</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data privacy, information security, governance, risk & compliance, or related fields.</li> <li>Experience implementing enterprise privacy programs.</li> <li>Experience with regulatory compliance projects.</li> </ul> <h4>Preferred Certifications</h4> <ul> <li>CIPP/E</li> <li>CIPP/A</li> <li>CIPM</li> <li>CIPT</li> <li>ISO 27701 Lead Implementer</li> <li>ISO 27001 Lead Implementer</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We are seeking a highly experienced lead data analyst to lead data analysis initiatives across our fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.</p> <h4>Responsibilities</h4> <ul> <li>Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior</li> <li>Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)</li> <li>Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions</li> <li>Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change</li> <li>Oversee analysis of high-volume financial and transactional datasets</li> <li>Design and review executive dashboards and management reports</li> <li>Ensure data accuracy, consistency, and alignment with business logic</li> <li>Support audits, compliance, and regulatory data requests</li> <li>Mentor and guide analysts and enforce best practices</li> <li>Contribute to data governance, quality standards, and documentation</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, data science, statistics, finance, or related field</li> <li>Minimum 5–7 years of experience in data analytics (fintech, banking, payments preferred)</li> <li>Expert-level SQL skills (Oracle preferred)</li> <li>Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections</li> <li>Experience working with large transactional datasets</li> <li>Hands-on experience with BI tools (Power BI, Tableau, etc.)</li> <li>Ability to translate data into executive-level insights</li> </ul> <h4>Preferred Skills</h4> <ul> <li>Experience with core banking or digital wallet systems</li> <li>Knowledge of revenue assurance, fraud, and risk analytics</li> <li>Exposure to ETL pipelines and data modeling</li> <li>Experience contributing to data monetization initiatives</li> <li>Strong leadership and ownership mindset</li> <li>Excellent communication and stakeholder management skills</li> <li>Ability to challenge existing processes using data</li> <li>Comfortable presenting to senior management and executives</li> <li>High attention to detail and accountability</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We are seeking a highly experienced lead data analyst to lead data analysis initiatives across our fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.</p> <h4>Responsibilities</h4> <ul> <li>Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior</li> <li>Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)</li> <li>Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions</li> <li>Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change</li> <li>Oversee analysis of high-volume financial and transactional datasets</li> <li>Design and review executive dashboards and management reports</li> <li>Ensure data accuracy, consistency, and alignment with business logic</li> <li>Support audits, compliance, and regulatory data requests</li> <li>Mentor and guide analysts and enforce best practices</li> <li>Contribute to data governance, quality standards, and documentation</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, data science, statistics, finance, or related field</li> <li>Minimum 5–7 years of experience in data analytics (fintech, banking, payments preferred)</li> <li>Expert-level SQL skills (Oracle preferred)</li> <li>Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections</li> <li>Experience working with large transactional datasets</li> <li>Hands-on experience with BI tools (Power BI, Tableau, etc.)</li> <li>Ability to translate data into executive-level insights</li> </ul> <h4>Preferred Skills</h4> <ul> <li>Experience with core banking or digital wallet systems</li> <li>Knowledge of revenue assurance, fraud, and risk analytics</li> <li>Exposure to ETL pipelines and data modeling</li> <li>Experience contributing to data monetization initiatives</li> <li>Strong leadership and ownership mindset</li> <li>Excellent communication and stakeholder management skills</li> <li>Ability to challenge existing processes using data</li> <li>Comfortable presenting to senior management and executives</li> <li>High attention to detail and accountability</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p> <p>If yes, then this is the job you are looking for. Webook is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.</p> <h4>Key responsibilities:</h4> <ul> <li>Analyze and mine business data to identify patterns and correlations among the various data points.</li> <li>Map and trace data within the enterprise data framework in order to solve a given business or system problem.</li> <li>Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.</li> <li>Perform statistical analysis of the enterprise data. Extract existing data to manipulate, calculate, and format into useful presentations.</li> <li>Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies.</li> <li>Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.</li> <li>Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.</li> <li>Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.</li> <li>Support innovations by actively keeping technical and professional business knowledge current on emerging technology and data trends which may fit with enterprise needs. Must be able to research and accurately articulate benefits and goals of these technologies.</li> </ul> <h4>Requirements</h4> <p>Bachelor's degree in Computer Science, Management Information Systems, or a related field.</p> <p>Minimum of 4 years experience.</p> <p>Overall experience in information systems; background experience in ETL processes, application development, report development, and data warehouse projects.</p> <h4>Skills:</h4> <ul> <li>Proficient in English written and verbal communication skills.</li> <li>Demonstrates excellent judgment and decision-making skills.</li> <li>Demonstrated time management and priority setting skills.</li> <li>Excellent organizational skills.</li> <li>Possesses strong product knowledge.</li> <li>Possesses strong technical aptitude.</li> </ul></p><p></p>