About the Job: You will be tasked with analyzing and interpreting large amounts of data. You will work on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors and frequently contribute to the development of new business strategy, ideas, and methods.
Responsibilities: Perform data cleaning, preparation, reporting, and data analysis. Assemble large, complex sets of data that meet non-functional and functional business requirements. Perform data extraction, aggregation, and quality checking from multiple sources and tables in support of trend identification, root cause analysis, and validation of the performance measures. Support development and maintenance of a data pipeline and data warehouse. Support troubleshooting data pipeline and data warehouse issues. Create and maintain optimal data pipeline architecture. Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Design data integrations and data quality framework. Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues. Qualifications: Graduate of BS Mathematics, Computer Science, Information Management, Information Technology, or Statistics. At least 5 years of experience in data engineering in a customer or business-facing capacity. A strong understanding of data modeling, data structures, databases, and ETL processes. Strong technical understanding of Data Analytics concepts, data warehouses, and marts reporting and visualizations. Experience using data extraction and analysis tools, such as SQL and Python. At least one year of experience in Power BI. Technical expertise regarding data models, database design, ETL development, and data mining. Skills in predictive modeling. General understanding of ETL/ELT frameworks, error handling techniques, data quality techniques, and their overall operation. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent oral and written communication and interpersonal skills. Work Setup: Shift: Dayshift (but must be amenable to a shifting schedule as well).
Setup: Hybrid (Mostly WFH).
Location: Makati City.
By applying, you give consent to collect, store, and/or process personal and/or sensitive information for the purpose of recruitment and employment, whether internal to Cobden & Carter International and/or to its clients.
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