Top Data Analyst Jobs in Caloocan

Lead daily fund onboarding and lifecycle-change workflows, ensuring accurate account configurations, data reconciliation, issue resolution, documentation, and audit-ready controls. Partner with internal stakeholders to validate requirements, troubleshoot setup issues, track risks and dependencies, and support system and process improvements. The role also maintains procedures and contributes to scalable, efficient operational 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.

Registers client samples and creates accurate work orders in LIMS, applies quality protocols, links pricing and quotations, prepares invoices and statements, distributes billing documents, follows up on payments, maintains records and reports, and supports administrative projects. The role requires accurate data entry, client communication, and compliance with company and laboratory requirements.

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.

Analyze operational data, identify trends, maintain databases and reporting systems, and create reports and visualizations that support business decisions. The role involves collaborating with cross-functional stakeholders, performing ad-hoc analyses, monitoring data quality, optimizing reporting, and communicating insights clearly.

Business-facing Data Analyst translating business needs into data requirements and supporting reusable data products. Responsibilities include requirements gathering, SQL-based data profiling and reconciliation, source-to-target mapping, data quality and testing, dashboard development, and collaboration with engineering and architecture teams. The role supports enterprise data lake solutions, governance, lineage, reporting, analytics, and selected AI use cases across global wealth and asset-management domains.

Produces and validates daily financial market data, risk models, and multi-asset analytics. Responsibilities include quality assurance, corporate event processing, large-scale data analysis, workflow improvement, and resolving client data inquiries. The role requires collaboration with global teams and support for financial data products serving investment management clients. The position is based in Manila with a hybrid schedule and Tuesday-to-Saturday working days.

Oversee end-to-end delivery of data components for projects and provide services to health technology and divisional analytics teams. The role manages requirements, prototyping, system architecture considerations, data processing environments, and Agile project delivery. It requires strong knowledge of big data and analytics technologies, SDLC, Scrum, business processes, and the ability to simplify complex concepts while leading projects and communicating effectively.

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

Validates and approves laboratory data, compares results against standards, initiates rechecks and corrective actions, identifies over-range assays, and prepares testing certificates for clients. The role supports quality non-conformance investigations, proficiency testing, QC control charts, audits, and technical collaboration across laboratory departments. It requires geochemical testing knowledge, statistical scrutiny, quality-system compliance, accurate reporting, and coordination of multiple projects.

Analyze marketing, sales, and CRM data to generate business insights. Build and maintain Power BI dashboards, integrate data from advertising and CRM platforms, validate data quality, analyze conversion funnels and campaign performance, evaluate attribution, automate recurring reports, and communicate recommendations clearly to stakeholders.

Develops, optimizes, and maintains Power BI data models, financial reports, dashboards, and data sources. Translates stakeholder requirements into reporting solutions, manages data quality and governance, supports model users, documents data structures, and collaborates with data owners to ensure timely validation and refreshes. Requires advanced Power BI, DAX, Excel, business intelligence, and analytical skills, with responsibilities supporting financial reporting and analysis.

Analyze marketplace data using SQL and Snowflake, transform raw data into reusable tables, and maintain dashboards in Sisense and Tableau. The role validates data quality, reconciles discrepancies, answers ad hoc business questions, documents metrics, and presents insights to non-technical stakeholders. It supports commercial, supplier, customer relations, and operations teams while gradually taking ownership of analytics workstreams.

Supports sales-force effectiveness through data cleaning, access governance, KPI reporting, performance trend analysis, and migration from Excel tracking to Power BI dashboards. The role also provides user support, onboarding and training assistance, documentation, process standardization, and continuous improvement across regional sales entities.

Collects, processes, and analyzes large datasets to identify trends, insights, and opportunities that improve business performance. Develops KPI reports, dashboards, data models, algorithms, and visualizations; evaluates data integrity; automates reporting; and communicates findings to technical and non-technical stakeholders. Supports analytics, automation, AI, and machine learning initiatives while collaborating with cross-functional teams and senior leadership.

Develops data solutions, dashboards, advanced analytics, automation, and data-quality monitoring to support risk management and business decision-making. Partners with business and technology teams on data visualization, governance, metadata, lineage, access controls, and self-service analytics. Requires quantitative education, data analytics experience, scripting, SQL or related data platforms, business intelligence tools, and AWS exposure. The position is hybrid in Alabang with a mid-shift schedule.

Build and maintain data quality dashboards, write SQL queries, investigate client data issues, map regulatory requirements to data fields, monitor compliance, configure data quality alerts, and analyze data flows between mobile and back-office systems. Collaborate with product, engineering, operations, and compliance teams to improve data accuracy, completeness, validity, freshness, and consistency.

Processes, cleans, validates, and analyzes client data for sustainable packaging regulations. The role performs data quality checks, investigates anomalies, automates workflows, estimates EPR costs, documents methodologies, supports compliance and cost mitigation, and communicates data issues and solutions to stakeholders while monitoring regulatory developments.

Registers laboratory samples and creates accurate work orders in LIMS, applies quality-control protocols, links pricing and quotations, prepares invoices and statements, follows up on payments, maintains records, and produces reports. The role requires accurate data entry, client communication, adherence to ISO-related procedures, and coordination with laboratory, quality-control, and management teams.

Establishes data-quality rules, ownership models, governance processes, and exception-management workflows. Uses SQL and reporting tools to profile data, investigate issues, measure quality trends, identify root causes, and develop remediation plans. Documents definitions, mappings, process flows, RACI models, controls, and procedures; facilitates stakeholder alignment; and supports enterprise-tool data cleanup and process improvement.

Manages the creation and quality assurance of global pharmaceutical data elements. Conducts in-depth research and analysis for data standards, complex projects, and client queries. Leads teams, schedules daily data activities, recommends process improvements, contributes to system development, and manages global data standards and quality assurance initiatives.

Collects and analyzes data across finance, operations, sales, marketing, and creative departments. Builds executive dashboards, reports, forecasts, business models, and cost-benefit analyses to support strategic decisions and revenue growth. Translates complex findings into clear presentations for technical and non-technical audiences, identifies optimization opportunities, supports client reporting, and provides recommendations to company leadership in a fully remote advertising-agency environment.

Collects, cleanses, transforms, and analyzes data from multiple systems to identify trends and business insights. Designs and deploys Power BI and other dashboards, reports, documentation, and presentations. Collaborates with business, project, and IT stakeholders to secure data access and communicate recommendations. Leads continuous improvement initiatives that enhance the Sales Data Analytics team’s standards, tools, processes, and best practices.

Develops enterprise dashboards, reports, KPIs, and data quality scorecards using Power BI, Tableau, SQL, Databricks, and related platforms. Performs advanced analysis, identifies trends and anomalies, supports master data management and governance, validates data pipelines, and delivers actionable insights. Partners with stakeholders, data engineers, and data stewards to translate business requirements into reliable analytics solutions, resolve data quality issues, document metrics, and support end users.

Analyzes marketing and sales funnel performance across Salesforce and Databricks, builds certified datasets and dashboards, evaluates campaigns and nurture journeys, conducts validated AI-assisted market research, and presents actionable findings to Marketing, Sales, and RevOps stakeholders. The role also manages data quality, consent, suppression, reconciliation, documentation, and compliance in a regulated financial-services environment.