Top Data Analyst Jobs in the Philippines

Monitors and analyzes workers’ compensation exposure and claims data, improves data quality, prepares regulatory reports, resolves data inquiries and anomalies, and supports recurring and ad hoc reporting requests. The role requires advanced Excel, SQL, database, statistical analysis, documentation, and communication skills, with a focus on regulatory data call filings and financial obligations.

Monitors and analyzes workers’ compensation exposure, claims, and regulatory data. Creates documentation, reports, and statistical data call submissions; investigates data anomalies, bureau criticisms, and external inquiries; supports surcharge and assessment obligations; and responds to recurring and ad hoc requests. The role requires strong Excel, SQL, data management, reporting, documentation, communication, and problem-solving skills, with attention to data accuracy and regulatory requirements.

Collects and verifies shareholder meeting and corporate action data from regulatory filings, stock exchanges, company websites, and issuers. Responsibilities include obtaining meeting documents, identifying voting securities, encoding agendas and voting instructions, recording meeting results, investigating data issues, resolving reporting discrepancies, and responding to clients and internal stakeholders. The role requires strong attention to detail, communication, organization, problem-solving, and willingness to work late, overtime, weekends, and holidays during proxy season.

Provides research and data-analysis support to economists focused on monetary economics and financial markets in Asia and the Pacific. Responsibilities include preparing publications and presentations, collecting and validating data, reviewing methodologies, developing databases, identifying new data sources, applying advanced analytics, and collaborating on innovation projects. The role bridges economics, data, and technology in a multicultural international environment.

Collects, composes, validates, and distributes financial instrument market and master data under client SLAs. Resolves client data questions and service incidents, performs quality checks and analysis, supports operational risk and governance controls, monitors data-supply-chain issues, and contributes to process improvements. The role also documents procedures, supports client-specific requirements, exchanges knowledge across Data Operations teams, and coaches colleagues.

Supports portfolio management through data collection, entry, analysis, dashboards, reporting, and recommendations. Maintains Clarity PPM data and responds to user requests, develops databases and data systems, identifies trends, visualizes performance, and recommends process improvements. Collaborates with stakeholders to understand business requirements and presents findings to management using Power BI, Excel, and related tools.

Monitors and analyzes Workers Compensation exposure, claims, and regulatory data to improve data quality and support statutory reporting. Creates documentation, reports, and data submissions; resolves bureau criticisms, medical and indemnity data inquiries, and systemic anomalies. Supports surcharge and assessment payments, responds to ad hoc requests, and collaborates with business units and support teams to meet deadlines and regulatory obligations.

Maintains accurate counterparty and customer master data while performing sanctions screening, AML/KYC due diligence, bank account and document verification, commodity screening, and false-positive reviews. The role researches conflicting information, manages compliance communications and tickets, follows SOPs and SLAs, and collaborates with compliance, operations, and legal teams to ensure data integrity and screening requirements are met.

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.

Performs laboratory sample registration, data entry, record cleanup, report preparation, billing support, CRM maintenance, quotations, and data-quality verification. Uses LIMS and database systems to manage accurate laboratory reports, meets turnaround deadlines, responds to technical queries, supports operational improvements, and follows SGS quality, integrity, QHSE, and HR procedures. The role is hybrid but may require onsite work for two to six months.

Own internal reporting and analytics by building Power BI dashboards, writing SQL, developing data models, integrating data sources, and delivering business insights. Improve data quality, governance, automation, and refresh reliability while exploring AI tools such as Claude and Microsoft Copilot. Partner with stakeholders, validate findings, and present recommendations to technical and non-technical audiences.

Manage customer data processes, governance, privacy compliance, quality maintenance, segmentation, and marketing list extraction. Partner with marketing, analytics, data, show, and global privacy teams to improve data flows across Salesforce, registration systems, and campaign platforms. Create reports and queries, validate and cleanse records, reduce duplication, support personalization initiatives, and provide stakeholders with data-quality insights and resolution feedback.

Manages customer account, security, pricing, and reference data across multiple systems and teams. Monitors data quality, identifies process improvements, supports client service levels, and contributes to project delivery. Provides team guidance, supervises junior staff, evaluates performance, identifies training needs, and acts as manager backup. Ensures risk management, regulatory compliance, policy adherence, and transparent escalation of control issues within a global financial services environment.

Analyzes and visualizes post-market surveillance and quality-system data to support complaint handling, investigations, CAPA, regulatory reporting, audits, and inspection readiness. The role prepares reports and regulatory content, applies statistical techniques, identifies product quality trends, and recommends process improvements while partnering with Post-Market Quality and cross-functional stakeholders.

Leads technical data projects supporting cross-border remittances, including data modeling, advanced analytics, automated scripting, reconciliation, and data transformation. Partners with analysts and business stakeholders to deliver reliable self-service data and ensure financial accuracy. Requires Python, SQL, Databricks, strong analytical skills, and financial services experience. Preferred qualifications include AutoRek or ReconArt reconciliation tools and Tableau, Power BI, or Looker expertise.

Remediate client and security reference data, perform trend and root-cause analysis, coordinate globally to resolve data-quality issues, support internal stakeholders, manage ad hoc projects, provide management metrics, and ensure compliance with applicable policies and regulations.

Design, develop, and maintain interactive Tableau dashboards; gather stakeholder requirements; optimize SQL queries and data models; ensure data accuracy; produce reports and provide dashboard support and troubleshooting.

Leads sales and orders reporting, incentive calculations, performance analytics, data quality validation, and process improvements for Vertiv Asia. Analyzes pipeline, orders, backlog, win rates, and business results to support sales leaders and strategic decisions. Coordinates with sales, finance, HR, IT, and regional stakeholders; manages commission-related inquiries, improves reporting through Power BI and automation, supports business continuity, and mentors junior team members.

Analyzes complex datasets and delivers actionable insights through Power BI reports and dashboards. Maintains Azure Data Lake integrity, performs data cleansing and transformation, supports ETL and governance initiatives, and collaborates with IT and business stakeholders on data requirements and accuracy. Provides user training and support while staying current with data management practices. Requires strong SQL, Azure Databricks, Python or R, data modeling, warehousing, and data quality expertise.

Consult with stakeholders to define questions, prepare and clean large datasets, run intermediate statistical analyses, build visualizations (Tableau/Power BI), lead small analytics projects, and communicate actionable insights. Uses SQL/Python and basic big-data tools; promotes analytics best practices and leverages approved AI tools to accelerate workflows.

Design, develop, and maintain ETL workflows with Informatica; support MDM processes; analyze data to surface insights; improve data quality; produce reports and dashboards; collaborate with stakeholders and IT on governance and data solutions.

Perform ETL development and maintenance in Informatica, support MDM processes, analyze datasets for trends and insights, monitor and improve data quality, collaborate with stakeholders and IT, and produce reports and dashboards to inform business decisions.

Monitor and record shipment statuses during a fixed night shift, update and complete shipment records in the CRM via call verification with delivery providers, clear statuses, and escalate issues or incomplete records to the client.

The Auditor will analyze logistics, supply chain, and financial data to solve complex problems and improve customer relationships using analytical skills.

The Financial/Data Analyst will analyze financial and e-commerce metrics to optimize profitability, develop models, dashboards, and support reporting and decision-making.