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.

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.

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.

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.

Investigate high-risk fraud alerts and complex cases using SQL and transactional, customer, device, and behavioral data. Identify fraud patterns and typologies, evaluate detection rules, recommend controls, and conduct root cause analysis. Build dashboards, reports, and performance metrics for management, operations, compliance, and regulatory use. Collaborate with Fraud Operations, Risk, Product, Engineering, and Compliance to strengthen fraud prevention and analytics capabilities.

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.

Validates and approves laboratory data, compares results against standards, initiates rechecks and corrective actions, identifies over-range results, and prepares testing certificates for client release. Maintains quality control charts, supports proficiency testing, investigates non-conformances, contributes technical input and audits, and ensures compliance with laboratory quality, safety, and environmental procedures.

Own payments and mobile analytics across debit, credit, cross-border, and transaction feeds. Define and validate tracking, analyze funnels and user behavior, build dashboards and self-service reporting, monitor payment metrics, support forecasting and financial reporting, and present actionable insights to stakeholders.

Own and maintain the credit card NPV and unit economics model. Build production-ready Python and SQL logic, create datasets covering cohorts, cashflows, losses, funding, fees, and revenue, automate scenario analyses, validate model outputs against portfolio performance, investigate variances, and document implementation-ready specifications.

Prepare and reconcile monthly private investment reports, analyze investment exposure versus targets, and consolidate data from multiple internal and external sources. Perform detailed reconciliations of portfolio data (spreads, balances, commitments) and apply advanced financial analysis and Excel/Power BI skills to support the private credit team.

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

The Data Analyst will transform data into insights, develop reporting solutions, maintain data accuracy, and collaborate with stakeholders to drive efficiency.

Seeking a detail-oriented DBA/Data Analyst to analyze datasets using Python and SQL, creating dashboards, and presenting insights to aid decision-making.

Analyze advertising, market, social media, and enquiry-generation data to identify trends, measure ROI, and recommend marketing decisions. Build dashboards and management reports, maintain data quality across CRM and advertising platforms, manage online adverts and social campaigns, support tenant communications, track budgets, and contribute to events, branding, and office setup. Present insights clearly to technical and non-technical stakeholders.

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.

Develop and execute partner and channel marketing programs aligned with sales objectives and pipeline growth. Manage regional campaigns, localized content, deal registrations, events, partner communications, and marketing development funds. Perform presentations, data cleanup, and analysis while collaborating across marketing, channel, sales, and regional teams. The role requires strong communication, organization, analytical thinking, technology aptitude, and onsite work across US and EMEA time zones.

Register samples into LIMS and create accurate work orders, apply QC protocols, link pricing, generate acknowledgements, invoices and statements, distribute to clients, follow up on payments, maintain reports and databases, and support ad hoc projects.

Reviews US individual and business tax returns, documents, forms, and schedules; labels tax data for AI training; validates AI-generated results; identifies errors and unusual tax situations; and provides feedback to improve data quality. The role also helps develop labeling guidelines and processes while collaborating with an AI team. Strong US tax expertise, CPA credentials, attention to detail, spreadsheet skills, and comfort with technology are required.

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.

Manage compliance for defined contribution retirement plans: perform non-discrimination testing, census reconciliation, contribution/forfeiture allocations, Form 5500 filings, data analysis, and respond to auditors and plan representatives. Support account management, process improvement, and team training.

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.