Data Analyst
1 day ago
Time House is a leading retailer and distributor of premium watches with a strong presence across retail outlets and a rapidly growing e-commerce business. We are seeking a Data Analyst who can work from raw data to actionable insights, driving data-backed decisions for both retail and online channels.
- Analyse retail sales, e-commerce sales, inventory, customer behaviour, and pricing performance.
- Collect, clean, and structure raw data from POS, ERP, CRM, Google Analytics, marketplaces, and social/digital platforms.
- Build dashboards and automated reports using Power BI, Tableau, track KPIs across retail and e-commerce.
- Lead demand forecasting, product performance evaluation, assortment analysis, and customer segmentation.
- Conduct micro-level and predictive analysis to support marketing, merchandising, and supply chain planning.
- Collaborate cross-functionally with marketing, e-commerce, merchandising, and operations teams to deliver actionable insights.
- Ensure data accuracy, integrity, and quality across all reporting systems.
- Present insights and strategic recommendations to senior management for decision-making.
Requirements:
· Bachelor's/Master's in Data Science, Statistics, or related field
· 5+ years in data analysis, with 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 retail forecasting and customer segmentation
· Background in omni-channel or eCommerce environments
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