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.

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.

Support MENA Valuation teams by maintaining soft filing for reporting, performing admin tasks (report formatting, timesheets), following up with stakeholders, escalating priority issues, and recommending process improvements.

Analyze business data, develop dashboards and scorecards, and present findings to stakeholders. Research processes, identify improvements, support product requirements, build account strategies, and assist in organizational solutions while maintaining quality standards and continuing education.

Collects, encodes, analyzes, and interprets large datasets to identify trends and insights; develops and maintains reports and dashboards; ensures data integrity via audits and validations; collaborates with Agency Sales Channels to deliver actionable recommendations; recommends improvements to data processes and reporting.

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.

Analyze complex datasets to provide insights, develop Sales Pipeline reports from Oracle Sales Cloud, build dashboards and PowerApps automations, perform descriptive and predictive analytics, support market research, and contribute to continuous process improvements and administrative tasks.

Prepare and reconcile monthly private investment reports, analyze investment exposure versus targets, and consolidate data from multiple internal and external sources. Perform detailed reconciliations of portfolio data (spreads, balances, commitments) and apply advanced financial analysis and Excel/Power BI skills to support the private credit team.

Register samples into LIMS, create work orders, apply QC protocols, generate acknowledgements, link pricing, produce and distribute invoices/statements, follow up on payments, and maintain accurate reports and databases while supporting ad hoc projects and complying with company policies.

The Data Analyst will transform data into insights, develop reporting solutions, maintain data accuracy, and collaborate with stakeholders to drive efficiency.

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.

Perform sample registration, administrative data entry, billing support, and report preparation using LIMS/CRM. Ensure data quality, meet lab deadlines, support sales and respond to technical queries while following SGS QA and safety policies.

Lead end-to-end analytics initiatives: perform ETL/ELT, automate data pipelines, develop dashboards and predictive models, ensure data quality and governance, validate models, and present insights to business and executive stakeholders.

Seeking a detail-oriented DBA/Data Analyst to analyze datasets using Python and SQL, creating dashboards, and presenting insights to aid decision-making.

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

Register samples into LIMS and create accurate work orders, apply QC protocols, link pricing, generate acknowledgements, invoices and statements, distribute to clients, follow up on payments, maintain reports and databases, and support ad hoc projects.

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.

The Data Analyst Level I supports data-driven solutions, generates reports using SQL and Excel, and collaborates on client performance analysis.

Lead integration of AI, automation, and digital tools into HSW processes. Own HSW data strategy, governance, and roadmap. Deploy and manage Cority, AI/ML tools, Power BI dashboards, and cloud analytics to deliver insights, predictive models, and improved safety outcomes. Partner cross-functionally to ensure ethical, secure, and compliant deployment, drive adoption, and measure impact.

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

Consult with stakeholders to define questions, prepare and clean large datasets, run intermediate statistical analyses, build visualizations (Tableau/Power BI), lead small analytics projects, and communicate actionable insights. Uses SQL/Python and basic big-data tools; promotes analytics best practices and leverages approved AI tools to accelerate workflows.

Collect, cleanse, and analyze client data; build automated file-processing and reporting workflows; run SQL queries and create Python or Power BI reports; enforce data quality; collaborate with analytics teams and stakeholders to deliver actionable insights.

Manage compliance for defined contribution retirement plans: perform non-discrimination testing, census reconciliation, contribution/forfeiture allocations, Form 5500 filings, data analysis, and respond to auditors and plan representatives. Support account management, process improvement, and team training.