Data Analyst
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Key skills for this role
Role Overview
Develop actionable insights from operational data across retail, production, merchandising, and finance functions.
The role combines data analysis, system architecture, interactive dashboard development, and business decision support.
The preferred experience range is 2 to 3 years, with jewellery, retail, or e-commerce exposure preferred.
Key Skills for This Role
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Job summary
Develop actionable insights from operational data across retail, production, merchandising, and finance functions.
The role combines data analysis, system architecture, interactive dashboard development, and business decision support.
The preferred experience range is 2 to 3 years, with jewellery, retail, or e-commerce exposure preferred.
Key responsibilities
- Gather, process, and analyze sales, inventory, procurement, and production datasets to identify trends, patterns, and anomalies.
- Design and maintain secure, available, and reliable data architecture across ERP, POS, e-commerce, and HRMS platforms.
- Build interactive KPI dashboards covering store-wise sales, inventory turnover, margin impact, wastage, and vendor output.
- Deliver daily, weekly, and monthly MIS reports plus ad hoc analyses for strategic and operational decisions.
- Partner with retail operations, merchandising, production, finance, and IT to capture data needs and deliver solutions.
- Implement data validation and cleansing processes and resolve data errors at source.
- Automate recurring reports to reduce turnaround time and manual errors.
Required skills and qualifications
- Hold a bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Data Science, or a related field.
- Have hands-on experience with SQL, Python, or R, including strong SQL knowledge of joins, aggregations, and stored procedures.
- Be proficient in Power BI or a similar visualization platform such as Tableau, Looker Studio, or Qlik.
- Be comfortable with data modeling, DAX or equivalent calculated measures, and refreshable data pipelines.
- Have expert-level Excel skills, including pivot tables, Power Query, lookup and reference functions, conditional logic, and large-dataset handling.
- Understand jewellery operations, including inventory valuation, stock movement, making charges, wastage, purity, karat handling, metal rates, costing, and margins.
- Be familiar with ERP and POS data structures.
- Have strong problem-solving skills, attention to detail, and the ability to reach defensible conclusions from imperfect data.
- Communicate complex insights effectively to non-technical stakeholders and senior management.
Preferred qualifications
- Relevant certifications in data analytics, Power BI, or SQL are preferred.
- Experience in jewellery, luxury retail, fashion, or e-commerce is preferred.
- Exposure to multi-store environments is an advantage.
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