Top Data Analyst Jobs in Quezon City

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.

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.

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.

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.

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

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.

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

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.

Support finance transformation by automating processes, building ETL pipelines, managing MI/BI dashboards and data models (Alteryx, SQL, Power BI), improving data quality, and delivering projects with stakeholder management across Finance, IT, Compliance and Risk.

Analyze and manage SAP master data in an S/4HANA environment. Support MDG/MDM processes, data quality checks, remediation, migration activities, governance, reporting, and documentation while collaborating with data owners and technical teams.

Maintain and improve enterprise data quality and governance for sales systems. Investigate and remediate data issues (deduplication, enrichment, hierarchy maintenance), validate customer and account relationships, monitor quality metrics, partner with cross-functional teams, and support stewardship and governance initiatives to enable accurate reporting and sales productivity.

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.

Own end-to-end mobile and transaction feed analytics for Payments: define tracking, standardize merchant/transaction categorization, build dashboards and reports, monitor payment metrics, support forecasting and financial reporting, partner with product and engineering, and deliver stakeholder presentations and ad-hoc deep-dive analyses.

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.

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.

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

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.

Monitor and investigate performance data quality issues, identify root causes and remediation, liaise with external data partners and internal teams, uphold SLAs, support escalation and calculation queries, and implement sustainable fixes to maintain operational data integrity.

The Finance Data Analyst will support financial analysis, reporting tasks, and decision-making by collaborating with teams to deliver insights and manage financial data efficiently.

The Data Analyst (HRIS) will collaborate with stakeholders to define data needs, prepare reports, perform statistical analyses, and ensure data security while delivering insights and assisting with data projects.