Top Data Analyst Jobs in the Philippines

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

Translate business needs into data requirements, mappings, user stories, and acceptance criteria. Use SQL and Excel to profile, reconcile, and validate data. Partner with engineers and architects on data lake solutions, quality controls, testing, and production readiness. Develop dashboards and analytical outputs, while aligning data definitions, ownership, lineage, and quality expectations across global markets.

Own and maintain the NPV and unit economics model for Salmon’s credit card business. Build production-ready Python and SQL logic, create datasets covering cohorts, cashflows, losses, funding, fees, and revenue, and automate scenario analyses. Validate model outputs against portfolio performance, investigate discrepancies, and translate analytical logic into implementation-ready specifications for partner teams.

Leads business and technical requirements gathering for data projects, develops user stories and acceptance criteria, translates requirements into technical specifications, performs data profiling and source-to-target mapping, and validates solutions during delivery and user acceptance testing. Partners with architects, data engineers, and business stakeholders to shape data products, support strategy and innovation, and analyze healthcare technology trends. The role requires expertise in healthcare IT/data, database platforms, data modeling, schedulers, programming languages, and Agile delivery.

Analyzes marketing campaign, audience, channel, and buyer journey data to generate actionable insights. Builds dashboards, supports segmentation and attribution modeling, improves prospecting data access and quality, and aligns marketing reporting with business intelligence frameworks. Collaborates with Digital and Marketing Operations teams, identifies predictive indicators, supports forecasting, and communicates findings to technical and non-technical stakeholders.

Analyze marketing and product data to support launches, audience segmentation, acquisition channels, experiments, and performance reporting. Build datasets, dashboards, reports, and data pipelines; monitor data quality and attribution; evaluate campaign economics; and deliver actionable insights to product, marketing, technology, business, and risk teams. Document data definitions, assumptions, lineage, and recurring outputs.

Supports global fund tax operations by preparing and reviewing Schedule K-1 and investor-level data, validating and reconciling financial information, investigating discrepancies, and escalating issues. Assists with AI-enabled tax automation, document extraction, workflow testing, dashboards, and process documentation. Collaborates with tax and technology teams to standardize processes, improve accuracy, reduce manual work, and support scalable compliance operations.

Performs entry-level data analysis, reporting, dashboard maintenance, and business intelligence support. Prepares, cleanses, validates, and blends data from multiple sources; builds recurring reports and visualizations; conducts basic analyses to identify trends, risks, and opportunities; and communicates actionable insights to stakeholders. The role also supports data quality, governance, documentation, testing, process improvement, and responsible use of AI-enabled analytics tools under the guidance of senior analysts.

Manage daily import and export operations, including shipment monitoring, customs data validation, discrepancy investigation, commercial invoice requests, export declaration checks, shipment tracking, and SAP error ticket logging. The role ensures accurate information is provided to customs brokers and coordinates with cross-functional regional teams. A bachelor’s degree, 3–5 years of trade compliance or import/export experience, and strong communication skills are required.

Registers client samples and creates accurate work orders in LIMS, applies quality protocols, links pricing and quotations, prepares invoices and statements, distributes billing documents, follows up on payments, maintains records and reports, and supports administrative projects. The role requires accurate data entry, client communication, and compliance with company and laboratory requirements.

Provides basic support for carrier routing, airfreight shipping optimization, and material forecast planning under general supervision. This entry-level role is intended for candidates directly after university and includes responsibilities supporting supply chain efficiency. Employees must follow safety policies, identify hazards, and contribute to continuous improvement within 3M’s Environmental Health and Safety culture.

Analyze marketing and sales funnel performance across Salesforce and Databricks, building certified datasets, dashboards, and campaign insights. Evaluate lead nurturing, scoring, routing, attribution, and conversion; validate data quality and compliance; conduct AI-assisted market research; and present concise recommendations to Marketing, Sales, RevOps, and business leaders.

Design, configure, deploy, and optimize enterprise-scale Smartsheet solutions (Advanced Work Management). Lead architecture, templates, workflows, reporting, governance, stakeholder workshops, training, and integrations while supporting portfolio and program use cases.

Perform data entry, validation and reporting in a Laboratory Information Management System (LIMS) or other database. Ensure data quality, meet lab deadlines, document reviews/changes, support operational improvements, respond to technical queries, and follow SGS QHSE and quality procedures.

Analyze operational data, identify trends, maintain databases and reporting systems, and create reports and visualizations that support business decisions. The role involves collaborating with cross-functional stakeholders, performing ad-hoc analyses, monitoring data quality, optimizing reporting, and communicating insights clearly.

Business-facing Data Analyst translating business needs into data requirements and supporting reusable data products. Responsibilities include requirements gathering, SQL-based data profiling and reconciliation, source-to-target mapping, data quality and testing, dashboard development, and collaboration with engineering and architecture teams. The role supports enterprise data lake solutions, governance, lineage, reporting, analytics, and selected AI use cases across global wealth and asset-management domains.

Produces and validates daily financial market data, risk models, and multi-asset analytics. Responsibilities include quality assurance, corporate event processing, large-scale data analysis, workflow improvement, and resolving client data inquiries. The role requires collaboration with global teams and support for financial data products serving investment management clients. The position is based in Manila with a hybrid schedule and Tuesday-to-Saturday working days.

Validates and approves laboratory data, compares results against standards, initiates rechecks and corrective actions, identifies over-range assays, and prepares testing certificates for clients. The role supports quality non-conformance investigations, proficiency testing, QC control charts, audits, and technical collaboration across laboratory departments. It requires geochemical testing knowledge, statistical scrutiny, quality-system compliance, accurate reporting, and coordination of multiple projects.

The job description provides no specific responsibilities or qualifications beyond the Global Data Analyst title. Ingredion notes that AI-enabled tools may support resume screening and interview scheduling, with human review for fairness and compliance. Relocation is not available.

Build and maintain data quality dashboards, write SQL queries, investigate client data issues, map regulatory requirements to data fields, monitor compliance, configure data quality alerts, and analyze data flows between mobile and back-office systems. Collaborate with product, engineering, operations, and compliance teams to improve data accuracy, completeness, validity, freshness, and consistency.

Processes, cleans, validates, and analyzes client data for sustainable packaging regulations. The role performs data quality checks, investigates anomalies, automates workflows, estimates EPR costs, documents methodologies, supports compliance and cost mitigation, and communicates data issues and solutions to stakeholders while monitoring regulatory developments.

Review and cross-check customer and internal production documents (flowplans, BOMs, OMSs) four weeks prior to assembly launch; identify and report mismatches; coordinate with Account Operations to obtain customer decisions and updated documentation; follow company processes, safety rules, and customer requirements.

Collects and analyzes data across finance, operations, sales, marketing, and creative departments. Builds executive dashboards, reports, forecasts, business models, and cost-benefit analyses to support strategic decisions and revenue growth. Translates complex findings into clear presentations for technical and non-technical audiences, identifies optimization opportunities, supports client reporting, and provides recommendations to company leadership in a fully remote advertising-agency environment.

Analyze marketing, sales, and CRM data to generate business insights. Build and maintain Power BI dashboards, integrate data from advertising and CRM platforms, validate data quality, analyze conversion funnels and campaign performance, evaluate attribution, automate recurring reports, and communicate recommendations clearly to stakeholders.

Develops, optimizes, and maintains Power BI data models, financial reports, dashboards, and data sources. Translates stakeholder requirements into reporting solutions, manages data quality and governance, supports model users, documents data structures, and collaborates with data owners to ensure timely validation and refreshes. Requires advanced Power BI, DAX, Excel, business intelligence, and analytical skills, with responsibilities supporting financial reporting and analysis.