Google Looker Data Platform

Xurpas Inc; Taguig; On-site; PHP 420,000 - 780,000; Full time

Job summary

Xurpas Inc. in Taguig, Philippines seeks a Data Analyst to support analytical delivery across project teams. The role involves extracting, preparing, validating, and analyzing large datasets, maintaining reports and dashboards, and translating business requirements into actionable insights.

The ideal candidate will have strong SQL, BI/ETL knowledge, and experience using Python or R for advanced analysis and automation. Collaborative, detail-oriented, and capable of documentation.

Qualifications

• Bachelor's degree in a technical or quantitative field, or equivalent practical experience.
• At least 3 years of experience in data analytics, data analysis, or a related role.
• Strong analytical, problem-solving, documentation, and communication skills.
• Ability to work under the direction of consultants and managers while independently managing assigned tasks.

Responsibilities

• Support Business Analysis: Work with consultants and managers to clarify business objectives, requirements, constraints, and decision needs.
• Perform Data Analysis: Execute data extraction, preparation, validation, recurring analysis, testing, and reporting using large or complex datasets.
• Develop and Maintain Reports: Build and maintain dashboards, reports, workflows, and analytical data structures using PLX and other internal analytics tools.
• Write and Optimize SQL: Query, manipulate, and analyze datasets to support business requirements and analytical projects.
• Automate Analytical Tasks: Use Python or R, typically through Google Colab, for deeper analysis, automation, and data processing when needed.
• Ensure Data Quality: Identify data inconsistencies, gaps, and ambiguities; validate analytical logic and document assumptions.
• Collaborate with Technical Teams: Work with consultants, developers, and data engineers to test solutions and refine analytical outputs.
• Communicate Findings: Manage assigned tasks, provide progress updates, and present results for defined areas of responsibility.
• Maintain Documentation: Document analytical processes, reporting logic, assumptions, and testing results.

Skills

SQL

Python

BI & Reporting

ETL & Data Prep

Data Modeling

Education

Bachelor's degree or higher

Tools

Google Colab

Google Cloud Platform

Job description

Job Overview

We are looking for a Data Analyst to support analytical delivery across one or more project

teams. The role involves extracting, preparing, validating, and analyzing large datasets;

maintaining reports and dashboards; and translating defined business requirements into

actionable insights. The ideal candidate has strong SQL skills, working knowledge of BI and ETL

processes, and experience using Python or R for advanced analysis and automation.

Key Responsibilities

• Support Business Analysis: Work with consultants and managers to clarify business objectives, requirements, constraints, and decision needs.
• Perform Data Analysis: Execute data extraction, preparation, validation, recurring analysis, testing, and reporting using large or complex datasets.
• Develop and Maintain Reports: Build and maintain dashboards, reports, workflows, and analytical data structures using PLX and other internal analytics tools.
• Write and Optimize SQL: Query, manipulate, and analyze datasets to support business requirements and analytical projects.
• Automate Analytical Tasks: Use Python or R, typically through Google Colab, for deeper analysis, automation, and data processing when needed.
• Ensure Data Quality: Identify data inconsistencies, gaps, and ambiguities; validate analytical logic and document assumptions.
• Collaborate with Technical Teams: Work with consultants, developers, and data engineers to test solutions and refine analytical outputs.
• Communicate Findings: Manage assigned tasks, provide progress updates, and present results for defined areas of responsibility.
• Maintain Documentation: Document analytical processes, reporting logic, assumptions, and testing results.

Must-Have Skills

• Strong SQL Coding – Ability to query and analyze large or complex datasets.
• Python or R – Knowledge of scripting for data analysis and automation; proficiency in Python is advantageous.
• BI and Reporting – Experience building or maintaining reports, dashboards, and analytical outputs.
• ETL and Data Preparation – Understanding of data extraction, transformation, loading, validation, and data quality.
• Data Modeling – Working knowledge of data structures, data warehouses, and analytical data architectures.

Good-to-Have Skills

• Experience with Google PLX and other internal Google analytics tools, or the ability to learn them quickly.
• Exposure to Google Cloud Platform (GCP) and Google Colab.
• Experience in supply chain analytics, inventory management, logistics, or operations.
• Customer-facing or consulting experience.
• Familiarity with large enterprise datasets and cross-functional analytical delivery.

Qualifications

• Bachelor's degree in a technical or quantitative field, or equivalent practical experience.
• At least 3 years of experience in data analytics, data analysis, or a related role.
• Strong analytical, problem-solving, documentation, and communication skills.
• Ability to work under the direction of consultants and managers while independently managing assigned tasks.