
Data Analyst
3 weeks 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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