Top Data Analyst Jobs in the Philippines

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.

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.

The role involves leveraging analytical skills to innovate and maintain data solutions, drive business intelligence, and manage data quality for effective risk management.

The Data Analyst role focuses on building and maintaining data solutions, conducting analytics, and providing business intelligence insights to enhance risk management strategies.

The Pr. Data Analyst will innovate, build, and maintain data solutions, perform advanced analytics, and develop dynamic reporting to enhance risk management.

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.

Analyze, validate, and manage GIS and GPS data for pipeline inspection and mapping. Produce maps and geodatabases, correlate inspection data with pipeline maps, support field crews, troubleshoot GPS/Trimble units, and create client data deliverables and reports.

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 maintain Power BI dashboards and Microsoft Fabric data pipelines. Integrate Dynamics 365 data, ensure data quality and governance, deliver executive insights, forecasting, and strategic analysis. Partner with sales, operations, and finance leaders to translate requirements, promote self-service analytics, and document KPIs and reporting logic.

Review and cross-check customer and internal production documents (flowplans, BOMs, OMSs) four weeks prior to assembly launch; identify and report mismatches; coordinate with Account Operations to obtain customer decisions and updated documentation; follow company processes, safety rules, and customer requirements.