Application Support Engineer

Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.

• Support consultants and managers in clarifying business objectives, constraints, requirements, and decision needs. • Translate defined requirements into analytical tasks; surface gaps, data issues, or ambiguity for resolution. • Execute data extraction, preparation, validation, recurring analysis, testing, documentation, reporting, and dashboard maintenance. • Use SQL to work with large or complex datasets; use Python or R in Colab when deeper analysis or automation is needed. • Build and maintain reports, dashboards, workflows, and analytical data structures using PLX and other internal tools. • Collaborate with consultants, developers, and data engineers to test logic, document assumptions, and refine solutions. • Manage assigned tasks, communicate progress, and present findings for well-defined areas of responsibility. • Bachelor's degree in a technical or quantitative field, or equivalent practical experience. • Typically 2-3+ years in a data, analytics, or supply chain analytics role; customer-facing experience is preferred. • Strong SQL; working knowledge of BI/reporting tools, data modeling, ETL, and analytical or warehouse architectures. • Experience with large enterprise datasets and the ability to quickly learn PLX and other internal Google analytics tools. • Python or R, typically through Colab, is a strong plus; GCP tool exposure is useful but secondary. • Supply chain, inventory, logistics, or operations experience is preferred but not mandatory for exceptional analytical candidates. Minimum 2 year(s) of experience is required

Taguig

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