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Generalist Data Analyst title and early-mid experience increase candidate density despite smaller employer brand.
Role demands jewellery-retail domain knowledge and ERP/POS familiarity, making background transferability limited.
Explicit 2–3 years requirement plus mandatory SQL/Python/Power BI and domain knowledge raises screening rigidity.
Own end-to-end data collection, processing, and analysis for sales, inventory, procurement, and production to generate actionable business insights.
Design and maintain data architecture across ERP, POS, e-commerce, and HRMS systems ensuring data integrity and availability.
Develop and maintain interactive dashboards and MIS reports to support strategic and operational decisions across retail, production, merchandising, and finance functions.
2–3 years of work experience, preferably in jewellery, retail, or e-commerce sectors.
Bachelor's degree in Computer Science, IT, Statistics, Mathematics, Data Science, or related field.
Proficiency in SQL (joins, aggregations, stored procedures) and experience with Power BI or similar visualization tools.
Expert-level Excel skills including pivot tables, Power Query, and handling large datasets.
Experience working with jewellery business operations including inventory valuation, wastage, making charges, and margin impacts due to metal rate fluctuations.
Ability to manage data architecture and reporting across multi-store and multi-system environments (ERP, POS, HRMS).
Skilled at translating complex data sets into clear, actionable insights and interactive dashboards for non-technical stakeholders and senior management.