Top Data Analyst Jobs in the Philippines

The Data Analyst will act as a subject matter expert in data engineering, healthcare risk adjustment, and application analysis, focusing on reliable data solutions and troubleshooting workflows.

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

Deliver call centre performance analytics and QA insights: source and prepare large datasets, conduct descriptive and diagnostic analyses, build and maintain Power BI dashboards, perform root-cause analysis, translate data into clear narratives for clients, and collaborate with Data Science and consulting teams to inform operational improvements.

Lead integration of AI, automation, and digital tools into HSW processes. Own HSW data strategy, governance, and roadmap. Deploy and manage Cority, AI/ML tools, Power BI dashboards, and cloud analytics to deliver insights, predictive models, and improved safety outcomes. Partner cross-functionally to ensure ethical, secure, and compliant deployment, drive adoption, and measure impact.

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.

Collect, cleanse, and analyze client data; build automated file-processing and reporting workflows; run SQL queries and create Python or Power BI reports; enforce data quality; collaborate with analytics teams and stakeholders to deliver actionable insights.

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.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

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.

Analyze and visualize post‑market surveillance and complaint data to support investigations, regulatory reporting, trending, and CAPA. Create reports and metrics, apply statistical techniques, ensure data integrity, recommend process improvements, and participate in audits and inspection readiness activities.

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

The Data Analyst will design and maintain dashboards using Tableau and Power BI, analyze data for insights, and support PMO initiatives. Collaboration with leadership and ensuring data quality are key responsibilities.

The Finance Data Analyst gathers, cleans, and analyzes financial data, prepares reports, supports month-end reporting, and aids in financial modeling to enhance efficiency.

Perform data extraction, cleaning, analysis, and dashboarding using Python, SQL, spreadsheets and BI tools. Build automated reports, detect anomalies, provide data-driven recommendations, and communicate findings to stakeholders while supporting process improvements and client deliverables.

The Data Analyst Intern will assist the Business Development team by creating automated reports, analyzing data, ensuring data integrity, and visualizing insights using dashboard tools.

Execute global audit processes to resolve logistics invoice exceptions, collaborate with carriers/customers, meet KPI targets, maintain SOPs, lead reconciliations, and support continuous improvement.

The Business Systems Analyst will update data in Salesforce, manage projects, collaborate across departments, conduct business analysis, and document processes.

The Data Analyst II will support operational data requests, report generation, and data analysis, ensuring data quality and integrity in a fast-paced environment.

The Senior Financial Data Analyst manages market and master data collection and analysis, ensuring compliance with SLAs and operational risk frameworks to support client needs and improve processes.

Develop, automate, and maintain ETL pipelines and python-based solutions to convert legacy Excel processes, reconcile financial datasets, test and deploy scripts, and improve fund accounting and operational workflows across teams.

Manage end-to-end TAM recruitment for designated Philippine regions, track address lifecycles, perform deep data analytics and dashboarding to protect panel integrity, support field operations, and automate workflows and validations using SurveyToGo, AppSheet, Python/VBA where applicable.

Lead product, marketing, and sales analytics to define KPIs, build dashboards, run A/B tests, generate data-driven insights, and support roadmaps. Collaborate with product, UX, engineering and stakeholders to improve acquisition, retention, engagement and revenue across web and mobile.

The Data Analyst is responsible for sample registration into LIMS, generating customer invoices and statements, and maintaining accurate data input. They follow QC protocols, ensure compliance with client requirements, and coordinate multiple projects while adhering to company standards.

As a Cricket Data Analyst, you will utilize cricket expertise to provide real-time insights, manage data quality, and support client inquiries while analyzing sports pricing data.