Analytics And Automations Engineer - Supply And Demand Scommerce

Shopee

Manila

On-site

PHP 540,000 - 720,000

Full time

3 days ago
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Job summary

Shopee Philippines is seeking an Analytics and Automations Engineer to move from manual processes to scalable analytics and automation. You will build visibility across operations, develop reliable reporting, and design workflows to speed up decision making while maintaining accuracy.

In this role you will develop SQL- and Python-based solutions, create dashboards, ensure data quality, and partner with Operations, BI, and Commercial teams to drive improvements from root causes to long-term

Qualifications

  • Bachelor’s degree in a quantitative field.
  • 2–3 years of professional work experience.
  • Proven automation, scripting, or internal dashboards experience.

Responsibilities

  • Build and maintain SQL- and Python-based solutions for reporting and automation.
  • Identify opportunities to automate repetitive workflows.
  • Design scalable dashboards for visibility across operations.
  • Collaborate with cross-functional teams to resolve blockers.
  • Ensure data quality and actionable metrics across funnel.

Skills

SQL
Python
Excel/Sheets
Data storytelling
Ownership mindset

Education

Bachelor’s degree in Engineering, Computer Science, IT, Analytics, Economics, or related quantitative field

Tools

Dashboarding (no specific tool)

Job description

Job Description:

About The Team

The Supply & Demand Analytics and Automations Engineer will drive the transition from manual, people-dependent execution toward scalable analytics and automation infrastructure. This role focuses on building visibility across operations, establishing reliable reporting, and designing sustainable workflows to improve decision‑making speed, accuracy, and control as the business scales

Job Description
Solution Development & Automation
  • Build and maintain sophisticated SQL- and Python-based solutions to drive departmental reporting and automation.
  • Identify and execute high-impact opportunities to automate repetitive workflows and manual operational tasks.
  • Develop and refine scripts and internal tools to reduce organizational dependency on manual data intervention.
Analytics & Visibility
  • Design and deploy advanced dashboards and trackers to provide "single source of truth" visibility for operational and business teams.
  • Audit and improve data quality and reporting clarity, ensuring that metrics across the funnel—including sourcing, onboarding, and activation stages—are actionable.
  • Monitor performance KPIs through a robust and reliable reporting infrastructure.
Process Optimization & Strategy
  • Translate ambiguous, messy business problems into structured technical requirements for reporting or automation.
  • Design scalable, long-term workflows that balance speed and accuracy to deliver high-impact results.
  • Maintain a clear-headed approach under pressure to ensure technical solutions address long-term organizational goals rather than short-term fixes.
Cross-Functional Collaboration & Root Cause Analysis
  • Partner with Operations, Commercial, BI, and other cross-functional stakeholders to resolve operational blockers and improve funnel performance.
  • Investigate and resolve the underlying root causes of operational issues, moving beyond merely reporting symptoms to proactively improving systems.
  • Communicate complex technical concepts simply and effectively to diverse stakeholders to align on priorities and deliverables.
Requirements
Educational Background & Experiences:
  • Bachelor’s degree in Engineering, Computer Science, IT, Analytics, Economics, or related quantitative field
  • 2–3 years of professional work experience
  • Proven track record of building automations, scripts, or internal dashboards that solve real-world business problems
  • Experience working in ambiguous or fast-changing environment
Knowledge And Skills
  • Advanced SQL: Proficiency in complex data extraction and validation to transform unstructured data into clean, actionable reporting.
  • Python: Working knowledge for developing end-to-end automation, reporting, and data workflows.
  • Data Fundamentals: Strong mastery of Excel and Google Sheets for rapid prototyping and data management.
  • Strategic Communication: Ability to interface with diverse stakeholders and translate technical outputs into business value
  • Mindset: Highly self-driven, execution-focused, and possessing a strong ownership mindset to operate independently with minimal instruction.
Preferred But Not Required
  • Experience in Operations, Logistics, E-commerce, BI, or Startups

Requirements:

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