Analytics and Automations Engineer - Supply & Demand, Scommerce

Shopee; Manila; On-site; PHP 400,000 - 700,000; Full time

Job summary

Shopee in Manila seeks an experienced Analytics & Automations Engineer to drive scalable analytics and automation. Build SQL- and Python-based solutions to power reporting, automate repetitive tasks, and design dashboards that provide a single source of truth for operations and growth.

You will partner with Operations, Commercial, BI, and others to translate business problems into technical requirements, enhance data quality, and deliver high-impact analytics as Shopee scales across SEA and

Qualifications

• Bachelor’s degree in engineering/computer science/IT/analytics/economics or related field
• 2–3 years of professional work experience
• Proven track record of automations, scripts, or internal dashboards
• Experience working in ambiguous or fast-changing environments

Responsibilities

• Build and maintain SQL- and Python-based solutions for reporting and automation.
• Develop dashboards and trackers for single source of truth visibility across operations and business teams.
• Audit data quality and reporting clarity across the funnel (sourcing, onboarding, activation).
• Collaborate with Operations, Commercial, BI and cross-functional stakeholders to resolve blockers and improve funnel performance

Skills

Advanced SQL

Python

Excel

Google Sheets

Strategic Communication

Ownership Mindset

Education

Bachelor's degree in Engineering/CS/IT/Analytics/Economics

Tools

Dashboard Development

Automation Scripts

Job description

Department Business Development and PartnershipsLevelExperienced (Individual Contributor)LocationManilaThe Business Development and Partnerships teams at Shopee are dynamic and energetic. The teams are always looking to acquire business opportunities to drive Shopee to be the No. 1 e-commerce platform in Southeast Asia and Taiwan. The aim of the Business Development and Partnership teams is to provide Shopee’s buyers with a wide variety of product listings at the best prices.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 scalesJob Description:Solution Development & AutomationBuild 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 & VisibilityDesign 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 & StrategyTranslate 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 AnalysisPartner 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 field2–3 years of professional work experienceProven track record of building automations, scripts, or internal dashboards that solve real-world business problemsExperience working in ambiguous or fast-changing environmentKnowledge 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 valueMindset: 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