Top Data Analyst Jobs in the Philippines

The Data Analyst will design and maintain dashboards using Tableau and Power BI, analyze data for insights, and support PMO initiatives. Collaboration with leadership and ensuring data quality are key responsibilities.

The Finance Data Analyst gathers, cleans, and analyzes financial data, prepares reports, supports month-end reporting, and aids in financial modeling to enhance efficiency.

Perform day-to-day financial master data operations (GL accounts, profit/cost centers, internal orders, exchange rates). Ensure data accuracy, internal controls, month-end reporting, issue resolution, process improvements, audits support, and service delivery for Global Finance.

Perform day-to-day finance master data operations (GL accounts, profit/cost centers, internal orders, exchange rates); ensure accuracy, internal controls, month-end reporting, resolve process issues, support audits, manage system access, and drive process improvements.

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.

Monitor and collect shareholder meeting data and documents from public sources; contact issuers; extract meeting agendas, securities identifiers, voting instructions and results; input and maintain accurate records in the database; respond to client and internal queries and support related projects to ensure smooth team workflows.

Perform day-to-day data operations: create matching priorities, review platform files, build and maintain QA checks, run SQL/Excel analyses, support client data processing, manage projects in JIRA, and support sales reporting while developing domain expertise in retirement/investment data.

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

As a Senior Data Analyst, you'll lead data science solutions, support clients, and develop innovative insights using Python and R, collaborating with teams to automate processes and suggest solutions.

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.

Support customer data management across marketing and analytics: design data flows, enforce governance and privacy (GDPR), extract and segment lists for campaigns, maintain data quality, and collaborate with stakeholders to enable personalized marketing and reporting.

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.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

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.

Lead preparation, consolidation, and distribution of sales analytics and performance reports. Analyze sales, orders, backlog, and incentives; validate data, support SIOP calls, drive process improvements and automation, liaise with sales/finance/IT, and mentor junior team members to enable data-driven decision making and accurate incentive administration.

Lead HR analytics and insights for global talent acquisition and onboarding. Build and maintain dashboards, KPI frameworks, and reports; analyze operational metrics; drive process improvement and change enablement; create stakeholder-facing resources and training; partner across HR, data, and technology teams to improve recruiting and onboarding performance and adoption.

The Sr. Data Analyst will ensure product/service quality through data analysis, develop dashboards, monitor metrics, and provide recommendations while collaborating with teams.

Maintain and oversee customer 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 manage project initiatives. Ensure compliance with policies and assess risks to protect the firm, clients, and assets.

The role involves using advanced analytics and data science methodologies to optimize supply chain and business operations, improving decision-making and efficiency through data architectures and visualization tools.

The Data & Automation Analyst will collaborate on data projects, develop Excel tools, maintain dashboards, automate processes, and ensure data integrity.

The Senior Data Analyst will transform marketing data into insights, lead Category Assessments, develop forecasting models, and provide performance reporting.

Work with external data partners to acquire and maintain index and market data, manage the index catalogue, resolve metadata gaps, document processes, and support Benchmark, ETF, ESG and Alternative data using Excel and basic data analysis tools.

Onboard and monitor client accounts, optimize performance (budget, bids, segmentation), conduct performance reviews, resolve technical/product issues, document interactions in HubSpot, recommend product improvements, collaborate cross-functionally to improve retention and support upsell and growth initiatives.

Manage and maintain accurate customer data in Salesforce/GCRM, support marketing and sales with list creation and campaign data operations, design reports and dashboards, perform regular data cleanup and de-duplication, coordinate with stakeholders on data validation, and ensure privacy compliance.