Google Looker Data Platform

ABSI; Taguig; Presencial; PHP 450.000 - 750.000; Jornada completa

Descripción de la vacante

ABSI is seeking a data analytics professional to perform structured analytical tasks and foundational delivery activities under the guidance of consultants and managers.

You will translate requirements into analytic plans, execute data extraction and validation, and build reports and dashboards using PLX and BI tools, collaborating with data engineers to refine solutions. A strong SQL and Python/R background with large datasets is preferred.

Formación

• Bachelor's degree in a technical or quantitative field, or equivalent practical experience.
• Typically 3+ years in data analytics or related roles; customer-facing experience preferred.
• Strong SQL; working knowledge of BI/reporting tools, data modeling, ETL, and analytics architectures.
• Experience with large enterprise datasets and PLX/Google analytics tools.
• Python or R through Colab is a strong plus; GCP exposure useful but secondary.
• Supply chain, inventory, logistics, or operations experience is preferred but not mandatory.

Responsabilidades

• Support consultants and managers in clarifying 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 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.

Conocimientos

SQL

Python

BI

ETL

Educación

Bachelor's degree in a technical or quantitative field

Herramientas

PLX

Colab

GCP tools

Descripción del empleo

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 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.

a. Must have and Good to have skills:

Strong SQL coding, Python, BI, ETL

b. Number of years experiences needed:

At least 3 years