Top Data Analyst Jobs in the Philippines

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.

Develop and maintain ETL processes, Python automation, reconciliations, and reporting solutions for fund accounting and operational workflows. The role converts Excel-based processes into code, analyzes large financial datasets, troubleshoots scripts, tests solutions, and streamlines inefficient or at-risk processes. It also requires collaboration with stakeholders, ownership of special projects, and staying current with data analysis and financial services technologies.

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.

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

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.

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.

Analyze paid media and broader marketing performance across Meta, Google, YouTube, LinkedIn, and TikTok. Build and automate recurring reports and dashboards using HubSpot, Google Analytics, Data Studio, and spreadsheets. Monitor trends, anomalies, and optimization opportunities; maintain data integrity; support campaign planning and forecasting; and translate complex findings into actionable recommendations for non-technical stakeholders.

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.

Analyze healthcare risk adjustment and health plan data across Medicare, Medicaid, and ACA Commercial programs. Build and maintain reliable data solutions using SQL, Python, ETL processes, databases, Tableau, Power BI, and Excel. Investigate application, data, system, and workflow issues, identify root causes, recommend corrective actions, and collaborate with technical teams to resolve problems.

Analyze and improve AI-powered transaction monitoring systems for money laundering, fraud, sanctions, and terrorist financing detection. Review high-risk transactions, identify behavioral patterns, test and refine machine learning models, develop metrics and dashboards, conduct experiments and ad hoc analyses, and provide clear recommendations. Collaborate with compliance, legal, Identity & Trust, and operations teams while ensuring AML and sanctions regulatory adherence and a positive customer experience.

Analyze credit risk model data requirements, develop SAS programs, resolve data quality issues, document data processes, and deliver reliable data marts and datasets for model development and validation teams. The role supports credit risk monitoring and collaborates with stakeholders across banking, finance, and risk functions to improve data collection, processing, and reporting.

Manages global pharmaceutical reference-data creation, data standards, quality assurance, and complex data research. Leads teams and daily workflows, analyzes global data for projects and client queries, recommends process improvements, and contributes to system development. Requires biomedical knowledge, pharmaceutical information experience, strong analytical skills, and understanding of how global data integrates into client offerings.

Analyze and resolve complex financial data issues across asset classes. Maintain Rimes products and services, support data quality and infrastructure efficiency, answer client data questions, coordinate with data suppliers on methodologies and anomalies, and uphold data accuracy. The role requires strong problem-solving, communication, organization, initiative, and attention to detail, with useful experience in financial markets, Python or Perl, SQL, and Databricks.

Analyzes exposure, claims, workers compensation, medical, and indemnity data to support regulatory reporting, data quality, financial obligations, and business inquiries. Creates documentation, reports, and statistical analyses; investigates data anomalies and bureau criticisms; responds to ad hoc requests; and collaborates with business units and support teams to resolve issues and meet reporting deadlines.

Monitors and analyzes workers’ compensation exposure and claims data, improves data quality, prepares regulatory reports, resolves data inquiries and anomalies, and supports recurring and ad hoc reporting requests. The role requires advanced Excel, SQL, database, statistical analysis, documentation, and communication skills, with a focus on regulatory data call filings and financial obligations.

Monitors and analyzes workers’ compensation exposure, claims, and regulatory data. Creates documentation, reports, and statistical data call submissions; investigates data anomalies, bureau criticisms, and external inquiries; supports surcharge and assessment obligations; and responds to recurring and ad hoc requests. The role requires strong Excel, SQL, data management, reporting, documentation, communication, and problem-solving skills, with attention to data accuracy and regulatory requirements.

Supports Supply Management Americas through recurring analytics, dashboard maintenance, master data checks, planning parameter updates, scorecards, backorder reporting, and standardized service delivery. Troubleshoots data-flow issues, escalates exceptions, maintains work instructions, and contributes to process standardization and reporting improvements. The role requires Power BI, DAX, Power Query, Excel, supply chain analytics exposure, cross-cultural collaboration, and night-shift flexibility.

Collects, composes, validates, and distributes financial instrument market and master data under client SLAs. Resolves client data questions and service incidents, performs quality checks and analysis, supports operational risk and governance controls, monitors data-supply-chain issues, and contributes to process improvements. The role also documents procedures, supports client-specific requirements, exchanges knowledge across Data Operations teams, and coaches colleagues.