Top Data Analyst Jobs in the Philippines

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.

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

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.

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.

Execute global audit processes to resolve logistics invoice exceptions, collaborate with carriers/customers, meet KPI targets, maintain SOPs, lead reconciliations, and support continuous improvement.

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.

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.

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 Logistics Data Analyst will manage audit processes, ensure quality service delivery, collaborate with carriers and customers, and improve efficiency within global operations.

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.

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.

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.

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.

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.

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.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

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.