Analytics and Automations Engineer - Supply & Demand, Scommerce

Shopee; Manila; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Shopee in Manila seeks an Analytics and Automations Engineer to shift analytics from manual processes toward scalable automation. You will build visibility across operations, develop reliable reporting, and design workflows to speed decision-making as the business grows.

Responsibilities include developing SQL- and Python-based solutions, creating dashboards, and collaborating with Operations, BI, and Commercial teams. The role demands a data-driven mindset and strong ownership.

Qualifications

• Bachelor’s degree in Engineering, CS, IT, Analytics, Economics, or related quantitative field.
• 2–3 years of professional work experience.
• Proven track record of automations, scripts, or dashboards that solve real-world business problems.
• Experience in ambiguous or fast-changing environment.

Responsibilities

• Build and maintain SQL- and Python-based reporting and automation.
• Design dashboards and trackers for single source of truth visibility across operations and business teams.
• Audit and improve data quality and reporting clarity across funnel metrics.
• Collaborate with cross-functional stakeholders to resolve blockers and improve funnel performance.

Skills

SQL

Python

Excel/Sheets

Strategic communication

Ownership mindset

Education

Bachelor's degree in Engineering/CS/Analytics

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

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