Top Data Analyst Jobs in Manila

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.

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 role involves sample registration into LIMS, generating customer invoices, and maintaining accurate records. It requires communication with clients and adherence to quality protocols.

The Data Analyst Consultant will gather, analyze, and interpret data to support business decisions, utilizing various tools and ensuring alignment with business objectives.

Validate and approve laboratory geochemistry data per the Quality Management System, generate and release test certificates, perform QC validation and control charts, initiate rechecks and investigations for non-conformances, support proficiency testing and internal audits, and provide technical input across departments.

Lead marketing analytics for US marketing leadership: design scalable measurement frameworks, run advanced attribution and cohort analyses, build dashboards and self-service reporting, own data governance across GA4/Salesforce/Adobe, mentor junior analysts, and present recommendations to senior stakeholders to drive business impact.

Maintain and refresh marketing dashboards, pull and validate campaign performance data, perform QA on data feeds, support ad hoc requests, document report logic, and escalate anomalies to senior analysts.

Own and analyze marketing channel/program performance end-to-end. Build/maintain GA4 and Salesforce Marketing Cloud dashboards, perform attribution and ROI analysis, translate data into stakeholder-ready recommendations, identify data quality issues, and mentor junior analysts.

Support handset installment financing risk operations by extracting, validating, and maintaining risk datasets; produce regular and ad-hoc reports; monitor key risk indicators and anomalies; develop and maintain dashboards and documentation to support risk, fraud, and collections teams.

As a Databricks Data Analyst, you will support data pipeline validation, monitor ingestion jobs, perform schema checks, and manage documentation.

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

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.

Deliver recurring reports and ad-hoc HR insights, investigate and resolve data anomalies, manage stakeholder relationships, build Power BI self-service dashboards, automate processes using Snowflake/Alteryx/Excel, and apply advanced analytics and ML techniques to generate actionable people insights.

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.

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.

Lead complex analytics for global complaint vigilance: perform trend and risk analyses, build dashboards, support data ingestion and data-lake strategy, present findings to QA and cross-functional partners, and enable corrective action and regulatory responses.

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.

Design Power BI dashboards, analyze campaign and operational data, and deliver actionable insights to improve performance and customer outcomes. Support multi-channel campaigns, ensure data quality, identify process improvements, and partner with Finance, IT, and Operations to align analytics with business goals.

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