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.

Support portfolio management through data collection, entry, analysis, dashboarding, and reporting using Clarity PPM and analytics tools. Maintain systems, produce visualizations and trend analysis (Power BI, Excel), resolve user requests, and recommend process improvements to improve portfolio transparency and outcomes.

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

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

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.

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

Lead end-to-end analytics initiatives: perform ETL/ELT, automate data pipelines, develop dashboards and predictive models, ensure data quality and governance, validate models, and present insights to business and executive stakeholders.

The Data Analyst will analyze CRM and campaign data to provide insights that enhance marketing performance and customer retention. Responsibilities include data extraction, dashboard creation, campaign performance analysis, and audience segmentation.

Design and maintain scalable data pipelines and analytics platforms for semiconductor manufacturing. Analyze large datasets, build predictive models and dashboards, integrate manufacturing systems, and collaborate with engineers to improve factory performance and operational decision-making.

Design, develop and maintain BI dashboards and interactive reports. Translate business needs into technical requirements, perform data modelling and ETL, ensure data integrity, optimize reports, manage access and workspaces, and provide actionable insights using BI tools (Power BI, Qlik, Tableau) while supporting stakeholders and following SDLC and governance practices.

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.

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.

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.

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.

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.

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.

BI Data Analyst to define metrics, build dashboards, measure performance, run A/B tests, generate insights from large datasets, and partner with product, marketing, and commercial teams to drive engagement and revenue for event digital products.

Support Sales Operations by creating reports and dashboards, managing item master databases, resolving item setup issues, maintaining inventory classifications and costs, and driving process improvements across Finance, Procurement, Operations, and IT.

Lead architect for a centralized Sales Ops Data Center: build cloud data pipelines integrating CRM (D365/Salesforce) and ERP (Oracle), enforce data governance, create automated reporting and Power BI dashboards, deploy AI-driven data solutions, and serve as the technical liaison for global sales operations.

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.

Develop and execute regional marketing and channel programs to generate pipeline and partner-sourced deals. Localize content, manage MDF, support events, run email campaigns, perform data cleanup and analysis, and collaborate with sales and cross-functional teams to drive registrations and demand.

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.

Perform Excel-heavy data extraction, analysis, mapping, validation, and testing for data conversion and migration projects. Identify data quality issues, create transformation instructions, document mapping logic, and collaborate with project managers and engineers to ensure accurate, structured data outputs.

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