Top Data Analyst Jobs in Manila

The Risk Data Analyst will extract, validate, and maintain risk datasets, manage reporting, develop dashboards, and monitor risk metrics to support risk management teams.

The Senior Data Analyst provides insights by analyzing data, developing ETL processes, creating dashboards, and leading data innovation initiatives to support decision-making.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

The Reference Data Services Analyst will manage sanctions screening reviews, improve processes, guide junior staff, and ensure compliance with regulatory obligations.

The Data Operations Analyst will monitor and maintain data processes, support client inquiries, handle troubleshooting, and ensure data quality across financial databases.

Prepare, cleanse, map, and validate client financial and operational data for NetSuite migrations. Execute CSV imports, perform reconciliation and testing, assist with AP/AR/opening balance conversions, document processes, and support multiple implementation projects to ensure accurate go-lives.

The Senior Data Analyst will support operations, lead data projects, provide insights through reporting tools, and mentor team members to enhance data quality and drive process improvements.

Partner with business teams to define and document data requirements, identify and report data quality issues, and implement data quality programs. Analyze data using SQL and BI tools, recommend process improvements, support remediation workflows, and coordinate with stakeholders and technologists while ensuring compliance and risk-aware decision making.

Participate in establishing and implementing data quality processes; monitor, assess, and analyze data; identify inconsistencies; report defects; interpret data and recommend improvements while ensuring compliance and risk management.

Design and execute data quality test cases, validate ad-hoc data extracts, perform SQL-based data testing, maintain QA artifacts, support UAT and peer reviews, collaborate with analysts and PMO, and participate in daily stand-ups to ensure timely, SLA-driven delivery.

Extract, clean, and analyze data to produce insights and PowerBI dashboards for Consumer Finance. Manage databases and integrations, prepare campaign data and month-end reports, troubleshoot data issues, and recommend process improvements. Collaborate with Finance, IT, and stakeholders while ensuring regulatory compliance and delivering clear, actionable reporting.

The Data Analyst/Data Enrichment Specialist manages and maintains data integrity across platforms, builds targeted lists, handles event registrations, and supports marketing initiatives.

Monitor live multi-sport data feeds, ensure accuracy, execute tasks during events, handle anomalies, and improve operational processes in a fast-paced environment.

Design, build, deploy and maintain analytics and AI products (forecasting, segmentation, optimization, classification). Lead ML experimentation (LLMs, RL), integrate AI into dashboards, champion Responsible AI, monitor model performance and drift, collaborate with global cross-functional teams, manage vendors and SLAs, and support production analytics operations and enhancements.

Perform day-to-day master data operations including account creation/modification, data cleansing/harmonization, compliance checks, escalation handling, and support for mass updates, process improvements, and technology-enabled automation. Collaborate with stakeholders and Team Lead to meet KPIs, train on multiple data objects, and support audits and transition projects.

As a Senior Data Analyst, you'll lead data science solutions, support clients, and develop innovative insights using Python and R, collaborating with teams to automate processes and suggest solutions.

The Data and Reporting Analyst develops and manages reporting and BI solutions, conducts data analysis, improves systems, and collaborates on reporting automation initiatives.

The Data and Reporting Analyst prepares staffing forecasts, analyzes call center data, manages scheduling, and enhances reporting capabilities to optimize performance and resource utilization.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

Lead LLM-focused data science work: analyze large datasets, build statistical models, design and deploy LLM/agentic applications, perform prompt engineering and model fine-tuning (RAG), and collaborate with global teams to deliver AI-driven business solutions.

Design and scale transportation analytics models and tools to optimize cost, speed, and network performance. Build carrier dashboards, routing and ship-speed optimizers, chargeback systems, and cost benchmarking engines. Deliver predictive and real-time KPI reporting, provide rapid ad-hoc decision support, drive automation, and collaborate cross-functionally to improve data accuracy and transportation performance.

Responsible for maintaining IQVIA databases, analyzing data sets, uploading/downloads data, and providing project support while ensuring quality and process efficiencies.

As a Junior Research Analyst, you'll create and maintain datasets related to environmental, social, and governance issues, ensuring data accuracy, and collaborating with teams to support various projects.

As a Junior Research Analyst, you will analyze and input risk data related to ESG issues into the RepRisk database and assess incidents accordingly.

The Data Quality Analyst is responsible for improving data quality by monitoring processes, resolving issues, analyzing data trends, and ensuring compliance with regulations.