Top Data Analyst Jobs in Manila

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 HR analytics and insights for global talent acquisition and onboarding. Build and maintain dashboards, KPI frameworks, and reports; analyze operational metrics; drive process improvement and change enablement; create stakeholder-facing resources and training; partner across HR, data, and technology teams to improve recruiting and onboarding performance and adoption.

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.

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.

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.

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.

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.

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.

Responsible for collecting and analyzing data to support visualization and data-driven decision-making within the BI team, engaging with stakeholders throughout the process.