Data Solutions Analyst / Scientist
HybridAmman, Amman, Jordan
Job Summary
Lead end-to-end network forecasting across first, middle, and last mile operations by building and managing models that inform daily planning and multi-year volume forecasts. Integrate internal data with external drivers to create scenario models and sensitivity analysis for planning under uncertainty. Partner with operations, planning, and commercial teams to translate complex analytics into decision-ready insights and influence trade-offs between cost, service, and capacity. Develop scalable datasets and forecasting pipelines using SQL, GCP, and BigQuery while applying analytics engineering practices to ensure data governance and model performance.
Required Qualifications
- 5+ years' experience in forecasting, data science or advanced analytics
- Strong experience building forecasting models using time series, regression or machine learning techniques
- Experience working with large, complex, multi-source datasets
- Advanced SQL capability and experience with cloud platforms (e.g. GCP, BigQuery)
- Experience with Python/R or forecasting tools (e.g. Prophet, ARIMA, XGBoost)
- Strong stakeholder engagement skills, with the ability to translate complex concepts into clear insights
- Experience with analytics engineering practices (testing, Git, CI/CD workflows)
- Data visualisation and storytelling capability (e.g. Tableau, Looker)
- Commercial acumen and an understanding of cost, service and capacity trade-offs
Desired Qualifications
- ideally within logistics, supply chain or operations
- Willingness to learn and apply and showcase a challenging mind to improving forecasts and how they can be used in the business for commercial and service improvements
- exposure to tools such as Dataform or Vertex AI
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