Top Data Analyst Jobs in Quezon City

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.

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

Manage programme data governance and quality across PMIS (IMPAQ, CTRT, PNS/G), perform data entry and validation, develop dashboards and automated reports, conduct statistical and trend analyses, provide technical support and training, and drive process improvements to support evidence-based programme decision-making.

Data Analyst Level II responsible for analyzing data, generating reports, and providing insights based on findings. Flexible shifts available.

Lead data analysis and reporting efforts: review end-to-end business processes, build dashboards and visualizations (Power BI, Excel), consolidate insights for stakeholders, test reports, support system changes, lead small projects, collaborate with developers, coach junior team members, and recommend process improvements to increase efficiency and customer satisfaction.

Execute collection, control, quality checks and distribution of market and master data for financial instruments. Investigate and resolve data incidents, support clients, maintain operational risk and data governance compliance, improve processes, and document runbooks and procedures.

Design, configure, deploy, and optimize enterprise-scale Smartsheet solutions (Advanced Work Management). Lead architecture, templates, workflows, reporting, governance, stakeholder workshops, training, and integrations while supporting portfolio and program use cases.

Maintains customer and supplier master data in Oracle, SAP, and other ERP systems. Responsibilities include entering, profiling, cleansing, coding, auditing, researching, and modifying account data and hierarchies. Processes new customer and vendor creation requests, responds to internal data inquiries, and supports data accuracy across business units. The role requires strong organization, communication, attention to detail, ERP database knowledge, and the ability to manage multiple deadlines.

Remediates client and security reference data, performs trend and root-cause analysis, coordinates with global teams to resolve data-quality issues, supports internal stakeholders, manages ad hoc projects, reports metrics to management, and escalates control or compliance concerns.

Manages customer account, security, pricing, and reference data across multiple systems and teams. Identifies data-quality and client-service improvements, supports risk and compliance controls, backs up the manager, guides team members, evaluates performance, identifies training needs, and oversees project delivery while supervising junior staff.

Manage and maintain customer account, security, pricing, and reference data across multiple systems and teams. Identify data-quality and client-service improvements, support project delivery, supervise junior staff, provide team guidance, and act as backup for the manager. Assess and escalate operational, compliance, and control risks while ensuring adherence to applicable policies, laws, and regulations.

Design, build, and govern HSW data solutions and analytics; deploy AI and automation into HSW processes; produce Power BI dashboards and regular reports; support Cority operations; drive data strategy, governance, and actionable insights to improve safety and operations.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

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.

The Financial/Data Analyst will analyze financial and e-commerce metrics to optimize profitability, develop models, dashboards, and support reporting and decision-making.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

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.

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.

The Data Annotation Analyst reviews, labels, and classifies datasets for AI/ML models and operational intelligence, ensuring quality and accuracy in a 24x7 environment.

Manage and maintain accurate customer data in Salesforce/GCRM, support marketing and sales with list creation and campaign data operations, design reports and dashboards, perform regular data cleanup and de-duplication, coordinate with stakeholders on data validation, and ensure privacy compliance.

Lead the Data Management workstream for implementations: collect, validate, transform, audit, and upload large datasets into a VMS. Perform ETL, data quality checks, rate audits, reporting, and stakeholder communication. Mentor junior analysts, manage multiple projects, enforce data governance, and recommend process improvements.

Provide customer support via live chat, troubleshoot wireless internet products and services, engage customers to resolve issues, and deliver excellent CX while representing client brands.

Manages customer account, security, pricing, and reference data across multiple systems. Improves data quality and client service, supports risk and compliance controls, backs up the manager, guides team members, identifies training needs, and supervises junior staff delivering project initiatives.