Top Data Analyst Jobs in Quezon City

Analyze healthcare risk adjustment and health plan data across Medicare, Medicaid, and ACA Commercial programs. Build and maintain reliable data solutions using SQL, Python, ETL processes, databases, Tableau, Power BI, and Excel. Investigate application, data, system, and workflow issues, identify root causes, recommend corrective actions, and collaborate with technical teams to resolve problems.

Analyze and improve AI-powered transaction monitoring systems for money laundering, fraud, sanctions, and terrorist financing detection. Review high-risk transactions, identify behavioral patterns, test and refine machine learning models, develop metrics and dashboards, conduct experiments and ad hoc analyses, and provide clear recommendations. Collaborate with compliance, legal, Identity & Trust, and operations teams while ensuring AML and sanctions regulatory adherence and a positive customer experience.

The Data Analyst Level I supports data-driven solutions, generates reports using SQL and Excel, and collaborates on client performance analysis.

Analyze credit risk model data requirements, develop SAS programs, resolve data quality issues, document data processes, and deliver reliable data marts and datasets for model development and validation teams. The role supports credit risk monitoring and collaborates with stakeholders across banking, finance, and risk functions to improve data collection, processing, and reporting.

Manages global pharmaceutical reference-data creation, data standards, quality assurance, and complex data research. Leads teams and daily workflows, analyzes global data for projects and client queries, recommends process improvements, and contributes to system development. Requires biomedical knowledge, pharmaceutical information experience, strong analytical skills, and understanding of how global data integrates into client offerings.

Analyze and resolve complex financial data issues across asset classes. Maintain Rimes products and services, support data quality and infrastructure efficiency, answer client data questions, coordinate with data suppliers on methodologies and anomalies, and uphold data accuracy. The role requires strong problem-solving, communication, organization, initiative, and attention to detail, with useful experience in financial markets, Python or Perl, SQL, and Databricks.

Analyzes exposure, claims, workers compensation, medical, and indemnity data to support regulatory reporting, data quality, financial obligations, and business inquiries. Creates documentation, reports, and statistical analyses; investigates data anomalies and bureau criticisms; responds to ad hoc requests; and collaborates with business units and support teams to resolve issues and meet reporting deadlines.

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.

Supports Supply Management Americas through recurring supply chain analytics, dashboard maintenance, master data checks, planning parameter updates, scorecards, backorder reporting, and standardized service delivery. Troubleshoots Power BI data-flow issues, escalates exceptions, maintains work instructions, and contributes to process standardization and reporting improvements. The role requires cross-cultural collaboration, detailed transactional work, and adherence to documented procedures.

Supports Supply Management Americas through recurring analytics, dashboard maintenance, master data checks, planning parameter updates, scorecards, backorder reporting, and standardized service delivery. Troubleshoots data-flow issues, escalates exceptions, maintains work instructions, and contributes to process standardization and reporting improvements. The role requires Power BI, DAX, Power Query, Excel, supply chain analytics exposure, cross-cultural collaboration, and night-shift flexibility.

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.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

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.

Develops and sustains data reporting, analytics, dashboards, and databases to support continuous improvement and leadership decision-making. Collects, cleans, transforms, and analyzes data; identifies trends, correlations, process improvement opportunities, and data-quality issues. Builds visual reports using Power BI and related tools, presents findings to management, and collaborates with stakeholders to understand business requirements. Requires expertise in data mining, database management, statistical analysis, visualization, and process efficiency.

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.

Conducts desk research and data analysis on companies’ environmental and social risks, ESG practices, and compliance with responsible business standards. The role responds to internal and client data queries, follows methodology and quality processes, investigates data issues, monitors performance metrics, and meets assignment deadlines. It requires strong English comprehension and communication, analytical and problem-solving skills, attention to detail, adaptability, and the ability to work under tight deadlines.

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.

Administers and secures Microsoft 365 environments, including Exchange Online, Entra ID, Teams, OneDrive, Defender, and email security gateways. Troubleshoots connectivity, mobility, and cross-team infrastructure issues; reviews audit logs; automates tasks with PowerShell or Microsoft Graph API; maintains technical documentation and change controls; and provides escalated after-hours support.

Turn customer, product usage, CRM and operational data into actionable insights to improve retention, engagement and product decisions. Build and maintain reports and Power BI dashboards, perform SQL/Python data extraction and automation, support predictive analytics and AI-readiness, validate data quality, and present clear recommendations to cross-functional stakeholders.

Provides administrative and business support for a commercial real estate team. Responsibilities include processing expenses, managing workflow queues, updating files and internal systems, responding to client and broker requests, maintaining accurate documentation, meeting service-level agreements and KPIs, and supporting process improvements. The role requires strong communication, organization, customer service, attention to detail, and proficiency with office, CRM, and expense systems.

Internship data analyst supporting dashboard monitoring, user behavior and content ecosystem analysis, A/B test evaluation, campaign performance analysis, data quality assurance, and metric documentation. The role uses SQL and Excel to derive insights on engagement, retention, conversion, and creator ecosystems, while collaborating with product and operations teams in a blockchain and digital assets environment.

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.