Top Data Analyst Jobs in Manila

Serve as central liaison for global privacy enquiries, categorize requests, gather BU information, draft responses and disclosures, maintain case notes, meet SLA timelines, escalate issues, produce monthly compliance MI, assist audit reporting, and support system updates and process improvements.

Support data process management, governance, and marketing list extraction/segmentation. Work with marketing, data, and show teams to build compliant data flows, improve data quality, design queries/reports, manage imports/exports between CRMs and campaign platforms, and present analysis to stakeholders to maintain and enhance marketing data usage.

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

Manage the full lifecycle of partner data: build and maintain engagement and utilization reports, fulfill ad-hoc analyses, ensure data quality and attribute management, and administer the Partner Analytics Dashboard including user access and configuration for stakeholders.

Lead HR Data Operations analyst responsible for advanced workforce data analysis and maintenance in Workday, driving global HR data consistency, compliance, and accuracy; leads HR data projects and provides subject-matter expertise for Global Services support.

Maintain and clean CRM contact data in InterAction: verify and update contact details, merge duplicates, approve data change tickets, research missing information online, and use Excel and internal tools to ensure data accuracy and completeness.

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.

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.

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.

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.

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

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

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.

Responsible for collecting and analyzing data to support visualization and data-driven decision-making within the BI team, engaging with stakeholders throughout the process.