Reporting Insights Analyst
HybridAmman, Amman, Jordan
Job Summary
Design, test, and rollout reporting solutions and dashboards that enhance network visibility using Looker, Tableau, and Looker ML. Prepare, clean, and integrate large-scale datasets from GCP, SQL, and internal logistics systems to support scalable analytics pipelines. Collaborate with data, digital, and operations teams to develop AI/ML-enabled insights, predictive models, and scenario simulations for demand outlooks and routing efficiency. Monitor KPIs, SLAs, and operational metrics to provide early alerts for deviations while translating complex financial and performance data into clear reports for stakeholders. Contribute to governance processes for tool development, data quality, and version control, ensuring all outputs comply with enterprise standards. Assist in training and knowledge sharing to uplift analytical capability across the network.
Required Qualifications
- Bachelor's degree in supply chain, Logistics, Finance, Engineering, Business, or a related field
- 5+ years of experience in analytics, tool development, or operations support within logistics, supply chain, or network environments
- Experience supporting performance reporting and/or incentive frameworks, ideally in a delivery or logistics context
- Proficiency in data visualization and reporting tools such as Tableau, and Looker
- Experience in Agile delivery environments, using tools such as Jira for work management, GitLab for version control and CI/CD, and Confluence for documentation, governance, and knowledge sharing of analytics
- Strong communication and collaboration skills, with the ability to work across technical and operational teams
- Ability to translate business needs into technical requirements and vice versa
- Comfortable working in a fast-paced, evolving environment
- Strong focus on data quality, governance, and reproducibility, ensuring reporting outputs are accurate, reliable, and actionable
- Ability to perform exploratory and diagnostic analysis, moving beyond standard reporting to identify root causes and improvement opportunities
- Familiarity with predictive analytics, optimisation, and machine learning concepts, with the ability to support or operationalise outputs developed by specialist data science teams
Desired Qualifications
- Experience with Looker ML
- Familiarity with Python, R, or other analytics languages is advantageous for preparing datasets, supporting predictive insights, or automating workflows
- Understanding of logistics operations, network planning, and key performance drivers
- Awareness of AI/ML applications in analytics and ability to collaborate with Data Solutions or AI teams to integrate predictive and prescriptive insights into reporting workflows
- Exposure to digital transformation initiatives, particularly in data, forecasting, or automation
- Qualifications or coursework in data science, statistics, operations research, or analytics
- Experience developing analytical tools, dashboards, and reporting solutions or tool development
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