Data Analytics Assistant Manager

1. Data Centralization, Governance & Automation
• Own the centralized E-commerce & Digital data model, integrating marketplace, media, affiliate, livestream, customer, product, inventory, finance, and internal sales sources into one governed reporting environment.
• Define and maintain KPI definitions, source mapping, transformation rules, data lineage, access controls, reporting templates, and dashboard logic to establish a trusted single source of truth.
• Establish data-quality controls, reconciliation routines, and issue-resolution processes to improve accuracy, completeness, consistency, and timeliness across internal and external data.
• Partner with IT, Finance, business owners, platforms, and external service providers to translate business needs into scalable data pipelines, dashboards, and reporting solutions aligned with security and governance standards.
• Automate recurring data extraction, transformation, validation, reporting, and distribution to reduce manual effort, speed up decision-making, and improve reliability.
2. Performance Analytics, Insights & Planning
• Develop and continuously improve integrated dashboards and scorecards covering sales, traffic, conversion, media efficiency, affiliate, livestream, customer, product, inventory, profitability, and digital-shelf performance.
• Analyze performance by brand, SKU, platform, campaign, channel, funnel stage, and customer segment to identify growth drivers, underperformance, risks, opportunities, and root causes.
• Provide early-warning signals on sales, traffic, conversion, media efficiency, stock, margin, and execution gaps, with clear recommended actions and owners.
3. Decision Support & Business Partnering
• Own the reporting calendar and deliver concise daily, weekly, monthly, campaign, and ad hoc performance views tailored to operational teams and leadership.
• Create executive dashboards, business-review packs, and insight narratives that highlight what changed, why it changed, business impact, risks, and required decisions.
• Partner with E-commerce and cross function team, and external teams to clarify analytical questions, challenge assumptions, and convert insights into prioritized actions.
• Track agreed actions and measured outcomes from business reviews, ensuring insights translate into execution and continuous performance improvement.