We are seeking a skilled Data Analyst with 2–3 years of experience, preferably in the jewellery, retail, or e-commerce industry. The ideal candidate will have a strong background in data and system architecture, coupled with proficiency in developing interactive dashboards. This role requires analytical prowess, technical expertise, and the ability to transform raw operational data into actionable insights that drive business decisions across retail, production, merchandising, and finance functions.
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Data Collection & Analysis: Gather, process, and analyse datasets across sales, inventory, procurement, and production to identify trends, patterns, and anomalies.
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System Architecture: Design and maintain data architecture ensuring integrity, availability, and security across ERP, POS, e-commerce, and HRMS platforms.
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Dashboard Development: Build interactive dashboards visualising KPIs — store-wise sales, inventory turnover, margin impact, wastage, and vendor output.
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Reporting: Deliver daily, weekly, and monthly MIS plus ad-hoc analyses supporting strategic and operational decisions.
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Collaboration: Partner with retail ops, merchandising, production, finance, and IT to capture data needs and deliver solutions.
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Data Quality Assurance: Implement validation and cleansing processes; flag and resolve errors at source.
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Process Automation: Automate recurring reports to cut turnaround time and manual error.
Educational Background
Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Data Science, or a related field.
Technical Proficiency
Hands-on experience with SQL, Python, or R. Strong command of SQL for querying relational databases — joins, aggregations, stored procedures. Working knowledge of Python (Pandas, NumPy) preferred.
Visualization Tools
Proficiency in Power BI or similar platforms (Tableau, Looker Studio, Qlik). Comfortable with data modelling, DAX or equivalent, calculated measures, and refreshable data pipelines.
Advanced Excel
Expert-level Excel — pivot tables, Power Query, lookup and reference functions, conditional logic, large-dataset handling.
Understanding of Retail & Jewellery Systems
Knowledge of jewellery business operations — inventory valuation, stock movement, making charges, wastage, purity and karat handling, metal rate fluctuation and its impact on costing and margin. Familiarity with ERP and POS data structures.
Analytical Skills
Strong problem-solving ability with attention to detail. Able to work with incomplete or inconsistent data and reach defensible conclusions.
Communication
Excellent verbal and written communication skills to convey complex insights to non-technical stakeholders and present to senior management.
Certifications
Relevant certifications in data analytics, Power BI, or SQL (Microsoft PL-300, Google Data Analytics, or equivalent).
Experience
2- 4 Prior experience in jewellery, luxury retail, fashion, or e-commerce. Exposure to multi-store environments is an advantage.
