Looker Data Analyst

Xurpas Incorporated

Taguig

On-site

PHP 600,000 - 900,000

Full time

47 hours ago
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Job summary

Xurpas Incorporated in the Philippines is seeking a data analytics professional to execute structured, well-defined analytical tasks and foundational delivery activities across one or more pods under consultant and manager guidance.

You will translate requirements into analytical tasks, perform data extraction and validation, and build dashboards and reports using PLX and Colab for deeper analyses when needed.

Qualifications

  • Bachelor's degree in a technical or quantitative field or equivalent practical experience.
  • Typically 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.
  • Must have skills: Strong SQL coding, Python, BI, ETL

Responsibilities

  • 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.

Skills

Strong SQL
Python
BI
ETL

Education

Bachelor's degree in a technical or quantitative field

Tools

PLX
Colab
GCP tools

Job description

Summary

Execute structured, well-defined analytical tasks and foundational delivery activities within one or more pods, under the direction of consultants and managers.

Core Responsibilities
  • 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.
Qualifications
  • Bachelor's degree in a technical or quantitative field, or equivalent practical experience.
  • Typically 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.
  • Must have skills: Strong SQL coding, Python, BI, ETL
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