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.

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.

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

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.

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.

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

Register samples into LIMS to create accurate work orders, apply QC protocols, generate acknowledgements, link price lists/quotations, prepare and distribute customer invoices/statements, follow up on payments, maintain reports and databases, and support ad hoc projects while ensuring compliance with quality, safety, and company policies.

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.

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 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.

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.

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.

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.

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.