Data Solution Analyst P&C

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    "description": "<p><span style=\"font-weight: bold\">Job Title: <span style=\"font-weight: bold\">Data Solution Analyst</span></span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span style=\"font-weight: bold\">Reporting to: Delivery Analytics Manager</span></span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span style=\"font-weight: bold\">Location: Amman, Jordan</span></span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span style=\"font-weight: bold\">-----------------------------------------------------------------------------------------------------</span></span></p>\n<p><span style=\"font-weight: bold\"><span style=\"font-weight: bold\">Overview:</span></span></p>\n<p>The Data Solutions Analyst plays a pivotal role in ensuring that the right data is available, accessible, and<br>actionable to support strategic and operational decision making across network operations. This role is<br>responsible for maintaining and optimizing the data tools, systems, and solutions that enable reporting,<br>analysis, planning, and operational insight driving efficiency, data quality, and business performance.<br></p>\n<p><br></p>\n<p>The Data Solutions Analyst is tasked with designing, developing, and maintaining analytics ready datasets<br>and scalable data solutions that bridge the gap between raw data and usable insights. They collaborate<br>closely with data engineers, analysts, and business stakeholders to transform complex data into clean, well<br>documented models that support dashboards, advanced analytics, and planning tools. A strong focus on data<br>quality, governance, and scalability is essential to ensure that solutions remain robust and adaptable to<br>evolving business needs.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Responsibilities:</span><br></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Commercial &amp; Strategic Priorities</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Contribute analytical insights that support commercial decision‑making and strategic business priorities.</span></li>\n<li><span style=\"font-size: 12pt\">Align data solutions, models, and pipelines with key operational and strategic objectives.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Data Modelling &amp; Transformation</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Design and implement well‑structured, analytics‑ready data models to support reporting, analysis, and business decision‑making.</span></li>\n<li><span style=\"font-size: 12pt\">Build and maintain robust transformation logic—primarily using SQL (BigQuery) and Confluence—to ensure clean, consistent, and trusted data outputs.</span></li>\n<li><span style=\"font-size: 12pt\">Ensure data models follow best practices for scalability, clarity, and maintainability.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Pipeline Development &amp; Maintenance</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Develop, maintain, and optimise scalable data pipelines using tools such as Airflow/Composer and BigQuery.</span></li>\n<li><span style=\"font-size: 12pt\">Implement CI/CD best practices for analytics workflows, including automated testing, validation, and version control (e.g., Git).</span></li>\n<li><span style=\"font-size: 12pt\">Manage ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes for efficient and reliable data flow from source to target systems.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Collaboration with Analysts &amp; Stakeholders</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Partner closely with data analysts to understand business needs and ensure data assets support analytical use cases.</span></li>\n<li><span style=\"font-size: 12pt\">Respond to stakeholder requirements by updating, extending, or enhancing datasets as business needs evolve.</span></li>\n<li><span style=\"font-size: 12pt\">Work cross-functionally to ensure alignment on data definitions, metrics, and analytical frameworks.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Data Quality &amp; Governance</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Implement data testing frameworks and validation processes to ensure accuracy, consistency, and integrity across datasets.</span></li>\n<li><span style=\"font-size: 12pt\">Maintain clear documentation for data models, transformation logic, and pipeline changes.</span></li>\n<li><span style=\"font-size: 12pt\">Support adherence to data governance standards and contribute to continuous improvement in data quality.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Performance Optimisation</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Monitor the performance of data models, queries, and pipelines to reduce latency and operational cost.</span></li>\n<li><span style=\"font-size: 12pt\">Optimise system performance by applying cloud analytics best practices, particularly within GCP environments.</span></li>\n<li><span style=\"font-size: 12pt\">Identify performance bottlenecks and recommend enhancements.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Advanced Data Analysis &amp; Problem Solving</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Perform advanced analytics and statistical modelling to uncover trends, correlations, and operational patterns in real‑time and historical data.</span></li>\n<li><span style=\"font-size: 12pt\">Conduct Root Cause Analysis (RCA) to identify and resolve data anomalies impacting operational performance.</span></li>\n<li><span style=\"font-size: 12pt\">Apply DMAIC (Define, Measure, Analyse, Improve, Control) principles to lead structured problem‑solving and continuous improvement initiatives.</span></li>\n<li><span style=\"font-size: 12pt\">Use insights to prevent issue recurrence and enhance data integrity and operational efficiency.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Technical Documentation &amp; Standards</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Document transformation logic, lineage, assumptions, field definitions, and changes clearly to support team transparency and reproducibility.</span></li>\n<li><span style=\"font-size: 12pt\">Contribute to shared Data Solution Analytical standards and data governance frameworks.</span></li>\n<li><span style=\"font-size: 12pt\">Ensure documentation supports long‑term maintainability and cross‑team collaboration.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Insight Generation &amp; Strategic Enablement</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Translate complex data outputs into clear, actionable insights that inform commercial and strategic decisions.</span></li>\n<li><span style=\"font-size: 12pt\">Partner with stakeholders to define KPIs and build analytical frameworks supporting business performance measurement.</span></li>\n<li><span style=\"font-size: 12pt\">Communicate emerging trends, patterns, and potential risks clearly to leadership and operational teams.</span></li>\n<li><span style=\"font-size: 12pt\">Design and maintain analytical tools and solutions that highlight opportunities, anomalies, and performance trends across network operations.</span></li>\n<li><span style=\"font-size: 12pt\">Collaborate with reporting and dashboard teams to deliver insights that drive lasting strategic change and business value.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\"><span style=\"font-weight: bold\">Essential experience &amp; Skills:</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">2+ years of experience in data analysis, preferably in the logistics or supply chain industry.</span></li>\n<li><span style=\"font-size: 12pt\">Strong ability to interpret and manipulate large and complex data sets.</span></li>\n<li><span style=\"font-size: 12pt\">Proficiency with data tools and technologies, including:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">GCP (BigQuery, Cloud Run Functions),</span><span style=\"font-size: 12pt\">Composer/Airflow, </span><span style=\"font-size: 12pt\">Python (and R), </span><span style=\"font-size: 12pt\">SQL, </span><span style=\"font-size: 12pt\">Excel</span><span style=\"font-size: 12pt\">Git / GitLab Runner, </span><span style=\"font-size: 12pt\">Confluence, </span><span style=\"font-size: 12pt\">Jira, </span><span style=\"font-size: 12pt\">Tableau</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 12pt\">Understanding of logistics operations, including transportation, inventory, and distribution.</span></li>\n<li><span style=\"font-size: 12pt\">Excellent communication skills, capable of conveying complex analysis clearly to stakeholders.</span></li>\n<li><span style=\"font-size: 12pt\">Strong attention to detail with a commitment to accuracy and high-quality outputs.</span></li>\n<li><span style=\"font-size: 12pt\">Ability to work independently and collaboratively in a fast‑paced environment.</span></li>\n<li><span style=\"font-size: 12pt\">Experience working within Lean, Agile, or traditional project delivery methodologies.</span></li>\n<li><span style=\"font-size: 12pt\">Strong technical documentation skills, including the ability to create and maintain clear and structured analytics documentation.</span><br></li>\n</ul>\n<ul>\n<li><span style=\"font-size: 12pt\">A proactive, problem-solving mindset with a passion for data-driven decision making.</span></li>\n<li><span style=\"font-size: 12pt\">Ability to manage multiple priorities and tight deadlines.</span></li>\n<li><span style=\"font-size: 12pt\">Experience in continuous improvement or process optimisation.</span></li>\n</ul>",
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