To support the IT department in building and maintaining data science capabilities that enable evidence based decision-making across Spinneys Egypt. The role is responsible for developing predictive models, maintaining analytical data pipelines, and delivering business intelligence outputs that serve commercial, operational, customer-facing, and management functions.
RESPONSIBILITIES- Develop, test, and deploy machine learning models for demand forecasting, customer behaviour analysis, and pricing
- Maintain model accuracy through scheduled retraining and performance monitoring
- Document all models prior to production deployment and maintain version control
- Build and maintain automated data pipelines supporting analytics use-cases
- Monitor pipeline availability and data quality, escalating issues as appropriate
- Contribute to reducing pipeline processing time through continuous improvement
- Develop and maintain management dashboards in Tableau as requested, ensuring timely delivery and relevance to business needs
- Maintain and fulfil all ongoing scheduled reports across functions, ensuring accuracy and on-time delivery
- Fulfil ad-hoc analytical requests within agreed turnaround standards
- Support reduction in report delivery time through automation and standardization
- Produce quarterly customer segmentation reports and loyalty programe analytics
- Deliver monthly e-commerce performance insight reports in collaboration with the E-Commerce team
- Complete post-campaign promotion effectiveness analyses within agreed timelines, working closely with Marketing
- Ensure all datasets used in analysis comply with Spinneys Egypt data privacy policies
- Document data sources, lineage, and definitions for all critical datasets
- Contribute to the enterprise data governance framework as directed by the IT Manager
- Define analytical use-case requirements to inform data lake design • Build and test AI/ML models on data lake datasets
- Validate data quality and completeness of lake-ingested data and produce monthly quality reports
- Propose and pilot new AI/ML use-cases in collaboration with IT and business teams
- Participate in internal knowledge-sharing sessions with IT and business stakeholders
REQUIREMENTS- Bachelor's in Data Science, Business Analytics, Statistics, Computer Science, Engineering, or a related field.
- 1–3 years of experience in data analysis in e-commerce is a must, retail, FMCG, or digital platforms is a plus.
- Fluent English is necessary.
- Advanced user of Microsoft Office.
- Proficiency in SQL, Python.
- Experience with data visualization tools and dashboards
- Familiarity with cloud data platforms and APIs is a plus.
