Senior Data Analyst (Shopee)

Hammerjack Pty Ltd

Philippines

On-site

PHP 600,000 - 1,000,000

Full time

2 days ago
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Job summary

Hammerjack Pty Ltd in the Philippines seeks a data-focused analyst to map warehouse and marketplace data, build dashboards, and drive data-driven decisions for fulfillment operations. You will optimize SQL queries, create automated reporting, and translate insights into action for revenue and cost efficiency.

Ideal candidates have strong BI skills, experience with Looker Studio and Google Apps Script, and a proven ability to communicate complex data to non-technical stakeholders while working

Qualifications

  • Bachelor's degree in CS, IS, Statistics, Math, Engineering or related analytical field.
  • 2–3 years in BI, data analytics, or supply chain analytics preferred.
  • Design and maintain dashboards using BI tools (Looker Studio, Google Apps Script) and advanced Excel.
  • Translate metrics into revenue and cost-saving recommendations for leaders.
  • Strong data storytelling and stakeholder management to non-technical teams.
  • Self-starter able to own projects in a fast-paced environment with tight timelines.

Responsibilities

  • Lead end-to-end data mapping linking warehouse inventory with marketplace products for real-time visibility.
  • Design and automate dashboards and reporting to track seller adoption and initiatives across Shopee Fulfillment.

Skills

SQL
BI Dashboards
Data Analytics
Data Visualization
Excel
Stakeholder Communication

Education

Bachelor's Degree in Computer Science or related

Tools

Looker Studio
Google Apps Script
SQL Tools

Job description

Job Description:
  • Lead end to end data mapping operations, intricately linking physical warehouse inventory (MT) with cross-listed marketplace products (MP) to ensure accurate, real-time commercial visibiltiy.
  • Design and automate dashboards and tailored reporting to track seller adoption and drive high-impact initiatives across Shopee Fulfillment business (FBS, SBS, SCS, and Warehouse)
  • 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.
  • Maintain rigorous data quality control, ensuring the absolute accuracy, integrity, and daily data availability of critical business metrics relied upon for revenue-driving decisions.

Requirements:
  • Bachelor's Degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a highly analytical business discipline.
  • 2â€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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