Top Data Analyst Jobs in the Philippines

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.

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.

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.

Design and scale transportation analytics and tooling to optimize network performance and reduce shipping costs. Build dashboards, routing/ship-speed optimizers, chargeback/dispute systems, and cost benchmarking engines. Deliver predictive and real-time KPIs, automate processes, improve data accuracy, and provide fast ad-hoc decision support for cross-functional stakeholders.

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.

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.

Serve as global finance master data SME to govern, maintain, and improve finance master data. Lead governance, migration, and continuous improvement projects; approve requests; monitor and report data quality; and collaborate with global teams to ensure data integrity.

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

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

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.

Analyzes business, technology, and cybersecurity risk metrics to identify trends, control weaknesses, breaches, and systemic risks. Develops executive-level insights, narratives, dashboards, and recommendations for risk committees and senior leadership. Enhances metric design, thresholds, indicators, and signal quality while partnering with cybersecurity and technology teams. Supports thematic reviews, data governance, ETL, reporting, and strategic analytics initiatives, and mentors team members on reporting and dashboard development.

Work with the Risk Innovation & Change team to translate credit risk business needs into AI prompts, manage AI pipelines, design testing and MoRM-compliant documentation, oversee delivery of AI-enabled credit workflows, monitor AI output quality, and drive stakeholder alignment and adoption across Risk, Analytics and Technology.

Performs data analysis, query development, reporting, dashboard creation, data quality validation, and database maintenance supporting sales regions and business functions. Develops scalable BI solutions, documents analytical infrastructure, supports user training, ensures GDPR compliance, and provides actionable recommendations for sales, marketing, and business initiatives. Collaborates with sales teams and uses SQL, Excel, Tableau, Salesforce, and Power BI.

Consolidate supplier price data, run scenario price models, maintain import demand-gap trackers, monitor inventory aging and slow-movers, prepare S&OP procurement data summaries, and track supplier performance with scorecards to inform buying and negotiation decisions.

Maintain and enhance a unified security master; implement data governance, validation, and auditing; ensure corporate actions are reflected accurately; support index calculation and downstream processes; collaborate with cross-functional teams to align data with business needs.

Lead BI delivery for regional/global programs: gather and document requirements, manage project plans and teams, deliver ETL and analytics on a cloud data lake, ensure data quality, create dashboards and narratives, run testing/UAT, facilitate workshops, and contribute BI standards and best practices.

Create and maintain entity datasets for RepRisk's ESG platform: research, validate, and encode company and project data; match client records; update corporate structures and M&A events; perform quality control, scheduled reviews, and ad hoc data projects.

The Data and Reporting Analyst develops and manages reporting and BI solutions, conducts data analysis, improves systems, and collaborates on reporting automation initiatives.

Maintain and oversee customer accounts, security and pricing data across systems; identify data quality issues and improvement opportunities; supervise and train junior staff; act as manager backup; manage project deliveries; assess risk and ensure compliance with policies and regulations.

Maintain and oversee client account, security and pricing reference data across systems. Identify data quality improvements, supervise and train junior staff, support projects, act as manager backup, and ensure regulatory and policy compliance while assessing business risk.

Support creation and maintenance of customer accounts, security and pricing data across systems. Monitor and analyze data quality, identify policy gaps and improvement opportunities, supervise and train junior staff, act as manager backup, and manage project initiatives while ensuring regulatory and policy compliance.