Top Data Analyst Jobs in Manila

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 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.

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.

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.

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.

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

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.

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.

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 monitor client account, security and pricing reference data across systems. Identify data quality issues and improvement opportunities. Supervise and train junior staff, act as manager backup, and support project delivery while ensuring risk, compliance, and policy adherence.

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.

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.

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.

Maintain and oversee customer accounts, security and pricing reference data across systems; identify data quality and client service improvements; supervise and train junior staff; act as manager backup; manage and deliver project initiatives; ensure compliance with policies and risk controls.

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

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.

Design, build, deploy and maintain analytics and AI products (forecasting, segmentation, optimization, classification). Lead ML experimentation (LLMs, RL), integrate AI into dashboards, champion Responsible AI, monitor model performance and drift, collaborate with global cross-functional teams, manage vendors and SLAs, and support production analytics operations and enhancements.

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