Data jobs in the Philippines

The Data Engineer will play a vital role in managing and optimizing data systems to support analytics and decision-making processes. This position requires expertise in data management and a focus on driving results in the retail industry.

The role of a Data Scientist in the Retail industry involves analyzing complex datasets to provide actionable insights and support data-driven decisions. This position based in Taytay will require expertise in analytics and a strong aptitude for problem-solving.

The role of Data Scientist in the financial services industry involves analyzing and interpreting data to support key business decisions. This permanent position is based in Pasig and is ideal for someone passionate about turning data into actionable insights.

The Data Engineer constructs and maintains the data infrastructure, pipelines, and storage solutions required for AI model training and deployment, ensuring efficient data flow and accessibility.

As a Data Scientist in the Technology industry, you will focus on analyzing and interpreting complex data to support business decisions. This role requires strong analytical skills and proficiency in data modeling and machine learning techniques.

We are seeking a skilled Data Modeller to join the Analytics department within the Financial Services industry. This role involves developing data models and ensuring data integrity to support business decision-making processes effectively.

It is the responsibility of the Data Architect to design, develop, and manage our data systems and solutions within the Technology & Telecoms industry.

The Data Architect will be the one who designs and optimizes data models for performance, security, and scalability while ensuring seamless integration and documentation.

As a Senior Data Scientist, you will lead advanced data analytics and machine learning projects to drive strategic decision-making in the Technology & Telecoms industry. This is a permanent role based in Makati, offering a chance to work on innovative solutions within the analytics department.

The Finance Data Lead focuses on supporting the analysis, design, and implementation of solutions across the financial processing chain to ensure activities are accurately reflected in financial records that meet regulatory and business requirements. You will work closely with Finance, IT, and stakeholders from different areas of the bank-assisting in initiatives, improving processes, and contributing to high-quality financial data and reporting.

The Head of Data Science will lead the bank's data science strategy and drive the development of AI/ML solutions that accelerate decision-making and business growth across key banking functions. This role works closely with the Head of Data & AI, senior leaders, and cross-functional teams to operationalize advanced analytics and embed a data-driven culture across the organization.

The SAP Data Engineer designs and maintains scalable data pipelines, ETL solutions data ingestion and conversion to support analytics and enterprise data platforms. This role requires experience in both data engineering practices and SAP S4/Hana/ECC.

The Senior Data Analyst will play an essential role in analyzing and interpreting complex data to assist in decision-making processes. This position is ideal for individuals with a strong background in analytics, particularly in the insurance industry.

The Data Strategy Head will oversee data-driven strategies and analytics initiatives to support business objectives in the Technology & Telecoms industry. This role requires strong leadership and expertise in data analytics to drive innovation and operational excellence.

The Risk Data Scientist will play a vital role in leveraging data analytics to identify, assess, and mitigate risks in the financial services industry. This permanent position is ideal for a detail-oriented professional passionate about data-driven decision-making.

The role of an Azure Data Engineer involves designing, building, and maintaining data solutions using Azure technologies to drive business needs. This position will require expertise in cloud-based data platforms.

The Senior Data Engineer will play a crucial role in designing, building, and maintaining scalable data pipelines and infrastructure to support business operations in the retail industry.

The Head of Data Engineering will lead the development and management of robust data systems to support analytics and innovation initiatives. This role in the Technology industry requires expertise in data architecture, team leadership, and driving scalable solutions.

The Senior Data Engineer will play a critical role in designing, building, and maintaining robust data pipelines and infrastructure to support advanced analytics in the healthcare industry. This position requires a strong technical background to ensure seamless data integration and optimization across various platforms.

This role involves leading the design and development of scalable data pipelines, optimizing data systems for performance, and ensuring data quality across multiple platforms.

CRM Data Analyst Retail will oversee the development and implementation of customer data strategies within the retail industry, ensuring that insights drive impactful business decisions. This role focuses on utilizing analytics to optimize customer relationship management and enhance consumer engagement.

The Project Manager, Data & AI will lead strategic and complex data and AI projects. This position requires a strong understanding of data and AI technologies to ensure project goals are met efficiently and effectively.

The SAP Data Conversion Analyst is responsible for designing and maintaining scalable data pipelines and executing data conversion activities using SAP ETL tools. The role involves data ingestion, preparation, validation, and collaboration with analysts and architects to deliver reusable data products and support advanced analytics initiatives.

The Senior Data Analyst role focuses on developing, maintaining, and improving product & systems to support business processes in the ERP sector. This position is ideal for a tech-savvy professional with a strong background in data analysis and product / system management.

The Material Master Data Lead is responsible for driving global data governance and ensuring the integrity of material and production planning master data within SAP systems. This leadership role focuses on standardizing processes, implementing best practices, and collaborating across functions to support efficient supply chain operations.

The Data Warehouse (Alibaba) role focuses on supporting analytics and data management in the financial services industry. This position requires a deep understanding of data warehousing solutions, specifically within the Alibaba ecosystem, to drive insights and efficiency.

The Senior Application Data Developer will play a crucial role in designing, developing, and maintaining scalable data-driven applications for a healthcare analytics department. This position requires expertise in managing complex datasets and developing innovative solutions to support business goals in the healthcare industry.

The Lead and Senior Data Analysts will play a key role in driving insights and analytics within the healthcare sector. This position focuses on leveraging data to support decision-making processes and improve operational efficiency in analytics.

Are you a problem solver with a strong background in data science and big data technologies? As an Application Engineer, you'll play a key role in customizing and deploying a cutting-edge platform for AML (Anti-Money Laundering) and fraud detection to meet client-specific needs.

We're looking for a Business Analyst who can bridge business needs with technical solutions. This role involves gathering requirements, analyzing data, and managing back-end Power BI integration to deliver accurate, insightful reporting. This permanent role is ideal for professionals with a strong analytical mindset and a passion for driving results.