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Build and maintain dashboards covering GMV, AOV, ROAS, CAC, conversion rate, and related operational metrics across Sales, Marketing, Supply Chain, and Logistics
• Write and validate SQL queries against the Company's data warehouse, reconciling figures across multiple sources, including order data, advertising platforms, web analytics, and customer support systems
• Investigate data discrepancies end-to-end, identifying and resolving root causes rather than simply reporting
inconsistencies
• Partner directly with Commercial, Marketing, and Operations stakeholders to scope requests, challenge assumptions, and raise concerns where a request risks producing a misleading result
• Take ownership of the accuracy of all deliverables, validating findings against source data prior to sign-off and
documenting the validation performed
• Operate with a high degree of autonomy, independently identifying priorities, planning workload, and determining the appropriate course of action with minimal supervision
• Communicate clearly and confidently with senior management, consistently substantiating recommendations and conclusions with data
• Apply AI tools as a means of enhancing productivity and the quality of analytical output, rather than as a substitute for independent judgment
• Demonstrate a commitment to continuous improvement, revisiting and refining deliverables rather than settling for an initial version

• A minimum of four years of experience in analytics, business intelligence, or data analysis, preferably within e-commerce, retail, or marketplace businesses
  • Strong command of SQL, including the ability to write and debug multi-table joins, window functions, and aggregations across large and imperfect datasets
  • A demonstrated track record of independently verifying one's own work, including cross-checking metrics via multiple calculation methods rather than accepting the first result produced
  • Experience working with both structured and unstructured data sources, with the ability to architect coherent and actionable outputs from them
  • Excellent written and verbal communication skills, with the ability to convey data-driven findings to non-technical stakeholders without loss of nuance
  • A strong sense of ownership, favoring the early escalation of issues and proposed solutions over the silent delivery of work that has not been fully validated