
Unlock Insights. Drive Growth.
2 weeks ago
A leading retailer and distributor of premium watches with a strong presence across retail outlets and a rapidly growing e-commerce business is seeking an experienced Business Intelligence Specialist. This role involves working from raw data to actionable insights, driving data-backed decisions for both retail and online channels.
- Analyse key performance indicators (KPIs) including retail sales, e-commerce sales, inventory levels, customer behaviour, and pricing performance to enhance business strategy.
- Collect, clean, and structure raw data from Point of Sale (POS), Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Google Analytics, marketplaces, and social/digital platforms to extract valuable insights.
- Build interactive dashboards and automated reports using Business Intelligence tools like Power BI and Tableau to track KPIs across retail and e-commerce.
- Lead demand forecasting, product performance evaluation, assortment analysis, and customer segmentation projects to inform marketing, merchandising, and supply chain planning initiatives.
- Conduct micro-level and predictive analysis to support strategic decision-making and drive business growth.
- Collaborate cross-functionally with marketing, e-commerce, merchandising, and operations teams to deliver actionable insights and recommendations.
- E nsure data accuracy, integrity, and quality across all reporting systems.
- Presentation of insights and strategic recommendations to senior management for informed decision-making.
Requirements:
- Bachelor's/Master's degree in Data Science, Statistics, or related field.
- Minimum 5 years of experience in business intelligence, with at least 3 years in retail/wholesale analytics.
- Strong experience with data visualization tools (Power BI, Tableau, etc.).
- Solid understanding of retail KPIs, sales metrics, and inventory data.
- Experience with POS, ERP, and retail analytics platforms.
- Knowledge of cloud platforms (e.g., Snowflake, BigQuery).
- Experience with business forecasting and customer segmentation.
- Background in omni-channel or eCommerce environments.
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