Top Data Analyst Jobs in the Philippines

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.

Validate client documentation and set up/maintain client, account, fund, and security reference data in custody systems. Investigate and resolve data exceptions, coordinate onboarding activities with internal and external partners, apply controls, respond to stakeholders, monitor workloads, and recommend process improvements.

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.

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.

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.

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.

The Consumer Support Analyst resolves email inquiries related to cashback discrepancies and account concerns, ensuring effective user communication and problem resolution.

The Data Analyst/Data Enrichment Specialist manages and maintains data integrity across platforms, builds targeted lists, handles event registrations, and supports marketing initiatives.

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.

The Marketing Data Analyst will maintain databases, gather and clean data, analyze it for insights, and support business strategies.

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

Lead Data Analyst responsible for gathering requirements, building reusable data models and dashboards, performing analyses and A/B tests, documenting and ensuring data quality, promoting self-service BI, and partnering with data teams and stakeholders to shape the data platform and measure impact.

The Risk Data Analyst will extract, validate, and maintain risk datasets, manage reporting, develop dashboards, and monitor risk metrics to support risk management teams.

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.

Freelance Looker Data Analyst (10-20 hrs/week) building and consolidating Looker dashboards and Explores, partnering with cross-functional teams to investigate trends, produce actionable insights, maintain metric definitions, and document reporting standards for scalable self-serve analytics.

Supports MENA real estate valuation teams through timesheet, expense, invoice, travel, KYC, and compliance administration. Maintains valuation reports and electronic filing systems, coordinates with stakeholders and service providers, and recommends process improvements. The role requires strong Excel and Word skills, communication and interpersonal abilities, attention to detail, and the capacity to manage multiple daily deliverables in an on-site Taguig environment.

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.