Top Data Analyst Jobs in the Philippines

Maintain and enhance a unified security master; implement data governance, validation, and auditing; ensure corporate actions are reflected accurately; support index calculation and downstream processes; collaborate with cross-functional teams to align data with business needs.

Serve as central liaison for global privacy enquiries, categorize requests, gather BU information, draft responses and disclosures, maintain case notes, meet SLA timelines, escalate issues, produce monthly compliance MI, assist audit reporting, and support system updates and process improvements.

Entry-level data analyst role supporting Market Intelligence Discovery Data Team. Conduct research on financial services firms and individuals, verify and update database records using web tools, collect data from reliable sources, ensure data accuracy and timeliness, and follow established processes while learning and improving procedures.

Lead BI delivery for regional/global programs: gather and document requirements, manage project plans and teams, deliver ETL and analytics on a cloud data lake, ensure data quality, create dashboards and narratives, run testing/UAT, facilitate workshops, and contribute BI standards and best practices.

Maintain and verify client and product reference data, open and manage sub-accounts and pricing setups, ensure regulatory and control compliance, liaise with global operational teams, manage escalations, and contribute to unit projects while assessing risk and safeguarding firm/client assets.

Manage and steward operational data (party, instrument, legal entity, regulatory reporting) across systems. Maintain data quality under governance, support change management, assist IT with requirements/UAT, support audits, and collaborate with regional teams on processes and integrations.

Collect, verify, and analyze governance data for assigned markets; respond to internal/client queries; follow data methodology and quality standards; meet turnaround goals; escalate and root-cause data issues; update performance monitoring documents; participate in projects and committees; maintain required paper and electronic files per retention policies.

Maintain and oversee customer accounts, security and pricing reference data across systems; identify data quality and client service improvements; supervise and train junior staff; act as manager backup; manage and deliver project initiatives; ensure compliance with policies and risk controls.

Lead consolidation, validation and integrated reporting of project performance data across engineering, procurement, fabrication and project controls. Develop executive dashboards and advanced analytics (including Monte Carlo simulation and contingency analysis), support governance, and partner with multidisciplinary project teams on major EPC, LNG and energy infrastructure projects.

Lead governance for data lineage, metadata quality, and authoritative data sources. Document lineage, manage metadata inventories, run quality reviews, monitor governance metrics, support system changes and governance forums, and coach colleagues to ensure enterprise standards and regulatory readiness.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Ensure accuracy, completeness, and integrity of Salesforce customer and account data. Build automated validation and enrichment pipelines (SQL/Python), perform large-scale cleansing and deduplication (DemandTools, Data Loader), create monitoring dashboards (Power BI), enforce governance, and apply AI/LLMs to improve matching, classification, and anomaly detection so data never blocks Quote-to-Cash processes.

Create and maintain entity datasets for RepRisk's ESG platform: research, validate, and encode company and project data; match client records; update corporate structures and M&A events; perform quality control, scheduled reviews, and ad hoc data projects.

Perform day-to-day financial master data operations (GL accounts, profit/cost centers, internal orders, exchange rates). Ensure data accuracy, internal controls, month-end reporting, issue resolution, process improvements, audits support, and service delivery for Global Finance.

Perform day-to-day finance master data operations (GL accounts, profit/cost centers, internal orders, exchange rates); ensure accuracy, internal controls, month-end reporting, resolve process issues, support audits, manage system access, and drive process improvements.

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.

Monitor and collect shareholder meeting data and documents from public sources; contact issuers; extract meeting agendas, securities identifiers, voting instructions and results; input and maintain accurate records in the database; respond to client and internal queries and support related projects to ensure smooth team workflows.

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

Maintain and oversee customer accounts, security and pricing data across systems; identify data quality issues and improvement opportunities; supervise and train junior staff; act as manager backup; manage project deliveries; assess risk and ensure compliance with policies and regulations.

Maintain and oversee client account, security and pricing reference data across systems. Identify data quality improvements, supervise and train junior staff, support projects, act as manager backup, and ensure regulatory and policy compliance while assessing business risk.

Support creation and maintenance of customer accounts, security and pricing data across systems. Monitor and analyze data quality, identify policy gaps and improvement opportunities, supervise and train junior staff, act as manager backup, and manage project initiatives while ensuring regulatory and policy compliance.

Lead preparation, consolidation, and distribution of sales analytics and performance reports. Analyze sales, orders, backlog, and incentives; validate data, support SIOP calls, drive process improvements and automation, liaise with sales/finance/IT, and mentor junior team members to enable data-driven decision making and accurate incentive administration.

The Sr. Data Analyst will ensure product/service quality through data analysis, develop dashboards, monitor metrics, and provide recommendations while collaborating with teams.

Maintain and oversee customer account, security, and pricing reference data across systems. Identify data quality issues and improvement opportunities, supervise and train junior staff, act as manager backup, and manage project initiatives. Ensure compliance with policies and assess risks to protect the firm, clients, and assets.

The role involves using advanced analytics and data science methodologies to optimize supply chain and business operations, improving decision-making and efficiency through data architectures and visualization tools.