Data Analyst – Google Looker Data Platform

Location: Uptown 2, Taguig Work Arrangement: Hybrid – 2x onsite per week Shift: 11:00 PM – 9:00 AM Work Hours: 45 hours per week Experience: At least 3 years Employment Type: Contract Potential for Absorption: Yes About the Role We are looking for a Data Analyst to join our Google Looker Data Platform project. The role will focus on data analysis, reporting, dashboard development, data validation, and analytical delivery using large and complex datasets. You will work closely with consultants, managers, developers, and data engineers to translate business requirements into meaningful analytical outputs and help drive data-informed decisions. Key Responsibilities Support consultants and managers in understanding business objectives, requirements, constraints, and decision needs. Translate business requirements into structured analytical tasks and identify data gaps, quality issues, and ambiguities. Perform data extraction, preparation, validation, analysis, testing, and reporting. Develop and maintain reports, dashboards, workflows, and analytical data structures. Use SQL to work with large or complex datasets. Use Python or R , particularly through Colab, for deeper analysis, automation, and data processing when required. Work with BI, ETL, and data modeling tools to support analytical solutions. Collaborate with developers and data engineers to test data logic and ensure accuracy of analytical outputs. Document assumptions, processes, findings, and analytical solutions. Monitor and maintain recurring reports and dashboards. Manage assigned deliverables, communicate progress, and present findings to stakeholders. Qualifications Bachelor's degree in Computer Science, Information Technology, Data Analytics, Statistics, Mathematics, Engineering , or another technical/quantitative field. At least 3 years of experience in Data Analytics, Business Intelligence, Supply Chain Analytics, or a related field. Strong SQL coding skills. Working knowledge of BI/reporting tools, ETL, data modeling, and data warehouse concepts . Experience working with large enterprise datasets. Proficiency in Python or R is a strong advantage. Experience with Google Cloud Platform (GCP), Looker, or other Google analytics tools is a plus. Supply chain, inventory, logistics, or operations analytics experience is preferred but not required. Strong analytical, problem-solving, communication, and collaboration skills. Willingness and ability to work on a night shift schedule . Technical Skills Must Have: Strong SQL Data Analytics BI / Reporting ETL Data Modeling Good to Have: Python or R Google Looker GCP Colab Data Warehouse / Analytics Architecture Supply Chain or Operations Analytics Why Join Us? Work on a Google Looker Data Platform project. Gain exposure to enterprise-scale data and analytics environments. Collaborate with experienced consultants, developers, and data engineers. Opportunity for future absorption based on performance and business requirements. Develop your expertise in SQL, BI, ETL, data modeling, and analytics technologies.