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.

Perform quantitative analyses on large commercial and operational datasets using advanced Excel; build and maintain forecasting and scenario models; clean, validate and reconcile data; create clear tables, charts and PowerPoint summaries; document logic and assumptions; run ad-hoc analyses on short timelines and improve model performance and standardization.

Collect, validate, control and distribute market and master data for financial instruments per client SLAs. Perform quality checks, investigate data incidents, resolve client queries, maintain runbooks and documentation, and support data governance, operational risk compliance, and continuous process improvements.

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.

The HRIS Data Analyst develops and maintains Workday reports, ensures data governance, collaborates with stakeholders for reporting requirements, and supports data privacy initiatives.

The Data Analyst will transform data into insights, develop reporting solutions, maintain data accuracy, and collaborate with stakeholders to drive efficiency.

The SQL Data Analyst role involves applying analytics to improve business performance, translating needs into actionable insights, and supporting projects within the insurance domain.

Produce real-time cricket insights and pricing using expert cricket knowledge and existing models. Analyze pricing data, run live simulations, validate outcomes, support clients, and provide high-quality data-driven insights.

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, 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 extracts and analyzes data from Oracle, produces reports, and assists in tracking key performance indicators related to kit and spares shipments.

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.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

Extract, clean, and analyze data to produce insights and PowerBI dashboards for Consumer Finance. Manage databases and integrations, prepare campaign data and month-end reports, troubleshoot data issues, and recommend process improvements. Collaborate with Finance, IT, and stakeholders while ensuring regulatory compliance and delivering clear, actionable reporting.

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.

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.

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.

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.

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.