Senior Data Analyst, Fulfilled Business (Shopee)
- Posted 5 days ago
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Job Description
Job Description:
- Execute complex SQL optimizations and manage sophisticated data architectures to extract, transform and analyze strategically sensitive operational metrics securely and efficiently.
- Translate complex operational data into actionable insights, delivering clear, data-driven recommendations to maximize warehouse cost efficiency, streamline seller process, and optimize order coverage.
- Develop predictive models and demand forecasts for the Shopee fulfillment business (FBS, SBS and SCS) to monitor inventory flow, optimize pricing strategies, and ensure transparent revenue sharing.
- Build end-to-end automated fee-collection and billing data systems to track, calculate and monetize Shopee Fulfilment services (FBS,SBS and SCS), ensuring 100% revenue capture for all initiatives and billing accuracy.
- Collaborate seamlessly with cross-functional stakeholders in Shopee Fulfillment business (FBS, SBS ,SCS and Warehouse) to uncover reporting bottlenecks, define key metrics and support commercial growth.
Requirements:
- Bachelor's Degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a highly analytical business discipline.
- 2-3 years of experience in Business Intelligence, Data Analytics, or supply chain analytics, ideally within e-commerce, fulfillment, or retail operations is a plus
- Strong hands-on experience designing, automating, and maintaining advanced dashboards using BI visualization tools (e.g.,Looker Studio, Google App Script) and advanced Excel.
- Strong commercial acumen and analytical mindset, capable of translating complex operational metrics into clear, revenue-driving, and cost-saving recommendations for business leaders.
- Excellent data storytelling and stakeholder management skills, with the maturity to communicate technical insights confidently to non-technical cross-functional teams.
- Self-starter capable of taking immediate, independent ownership of projects and thriving in a fast-paced environment with tight timelines, requiring minimal onboarding.
- Highly detail-oriented with a strict focus on data integrity, security, and absolute accuracy.
- Excellent data storytelling and communication skills (written and verbal), with the ability to translate complex data into digestible insights for non-technical stakeholders.
- Detail-oriented with a high level of data integrity, able to manage multiple tracking studies independently, meet deadlines, and thrive in a fast-paced environment.
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Key Skills
About Company
Skills:
Scripting Language, Data Analytics, Aws Services, Data Governance, Sql, business intelligence visualization tools, Informatica DQ, data quality management, data languages platforms
Skills:
data warehouses , Aws Services, Power Bi, Tableau, Python, Sql, R, data visualisation platforms, cloud-based analytics environments
Skills:
advanced Excel, Sql, Looker Studio, Google App Script, BI visualization tools
Skills:
Power Automate, Power Bi, Databricks, Sql Programming, Vba, Excel Macros, Alteryx, Microsoft Copilot