It Data Analysis jobs in the Philippines

Ensures accurate and reliable revenue reporting by validating data, investigating discrepancies, and preparing regular reports across multiple systems. The role requires strong attention to detail, independent problem-solving, and a proactive approach to improving processes in a fast-paced environment.

As a Data Engineer in the retail industry, you will be responsible for designing, building, and maintaining robust data pipelines and storage solutions. This position requires technical expertise and a focus on delivering high-quality data solutions to support business objectives.

The SQL Data Admin will play a pivotal role in managing and maintaining SQL databases to ensure optimal performance and security. This position requires expertise in database administration, as well as proficiency in the analytics domain within the Technology & Telecoms industry.

The Reporting & Analytics Manager will play a critical role in providing analytical insights and data-driven strategies to support business decisions. This position requires expertise in analytics to drive meaningful outcomes and improve overall performance in the business services industry.

The Senior Azure Data Engineer will design, develop, and maintain robust data solutions using Azure technologies to support business operations and decision-making. This role is based in Quezon City and is perfect for individuals passionate about data engineering in the Technology & Telecoms industry.

The AI VoiceBOT Product Manager will lead the development, implementation, and enhancement of AI-powered voicebot solutions for a financial services technology team. This role requires expertise in AI technologies, product management, and a strong ability to deliver innovative solutions in BGC.

Seeking a Lead Data Scientist to drive analytics projects and provide data-driven insights within the financial services industry. This role focuses on leveraging advanced analytics to support strategic decision-making and improve business outcomes.

As an ML Engineer in the Tech / Pharmaceutical industry, you will design, develop, and implement machine learning models and algorithms to solve complex problems. This role requires a strong analytical mindset and a passion for innovation in the field of analytics.

This is a high‑impact hybrid role that demands a blend of strategic pre‑sales capability, strong technical delivery oversight, and senior stakeholder management. The individual in this role will act as the bridge between clients' business challenges and the company's Technical Centers of Excellence, ensuring the organization both secures transformative data engagements and delivers them with excellence.

This role is a key position within the risk organization, leading modeling initiatives for UnionDigital's Risk Management team. He will develop and refine scoring models across various risk domains using both traditional methods and advanced AI/ML techniques. In partnership with the tech team, he will design ML Ops pipelines and frameworks to enable rapid deployment and automated monitoring of models.

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 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.

Join a dynamic team driving innovation in AI and data science to transform digital experiences across millions of users. This leadership role offers the opportunity to shape strategic AI initiatives and mentor a high-performing team in a fast-paced, tech-forward environment.

The Risk Portfolio Lead will oversee risk management strategies and analytics within the financial services industry to ensure portfolio health and compliance. This role requires expertise in analytics and the ability to implement effective risk mitigation measures.

The Model Development Manager in the Technology & Telecoms industry will lead the development and implementation of analytical models to drive data-driven decision-making. This role is based in Taguig and requires expertise in analytics to support business growth effectively.

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 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.