Top Data Analyst Jobs in the Philippines

Support and implement Axos data governance roadmap by administering data catalog and quality platforms, collaborating with data owners and IT, enforcing governance policies, contributing to MDM implementation, troubleshooting systems, mentoring junior staff, and researching governance innovations.

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

The Data and Reporting Analyst prepares staffing forecasts, analyzes call center data, manages scheduling, and enhances reporting capabilities to optimize performance and resource utilization.

Support global business travel operations by managing travel systems, analyzing data, identifying improvements, and creating reports and dashboards.

The Senior Data Analyst and Consultant conducts data analysis, develops dashboards, provides expert consulting on analytics, and mentors junior analysts while ensuring data integrity and compliance.

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

The Data Analytics Analyst 2 role involves responding to client inquiries, analyzing data trends, validating data accuracy, and providing reports. Candidates need strong analytical skills and experience in data analysis with Microsoft tools.

The Reference Data Services Junior Analyst will remediate and analyze data, manage projects, provide customer service, and conduct testing related to client and security data.

The Data Analytics Analyst 2 will create client communications based on data situations, manage multiple projects, and provide verbal updates to Client Services.

Ensure data quality by defining metrics, monitoring issues, developing validation routines using SQL, and advising stakeholders. Conduct assessments and support data cleansing activities.

Lead forecasting, reporting, automation, and database management. Build forecasting models, internal dashboards, and data pipelines. Automate reporting, maintain data hygiene, and support finance and operations with scalable data infrastructure and actionable insights.

Design and execute data quality test cases, validate ad-hoc data extracts, perform SQL-based data testing, maintain QA artifacts, support UAT and peer reviews, collaborate with analysts and PMO, and participate in daily stand-ups to ensure timely, SLA-driven delivery.

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

This role involves data analysis, reporting, process improvement initiatives, and collaboration across business units to enhance data platforms and reporting systems.

Support HR and Client Experience by administering Qualtrics, ensuring data integrity across systems, producing periodic and ad hoc reports and dashboards (Power BI/Tableau/Excel), performing UAT and troubleshooting integrations, and contributing to process improvements.

The Senior Data Analyst will support operations, lead data projects, provide insights through reporting tools, and mentor team members to enhance data quality and drive process improvements.

The Senior Data Analyst will convert marketing data into insights, enhance reporting, ensure data integrity, and manage an intern. Collaborate with leadership to improve marketing strategies and drive company growth.

The Junior Analyst will ensure data quality by validating SEC data, conduct research for database maintenance, support technology projects, and maintain process documentation. Candidates are expected to have strong analytical and communication skills, with advanced Excel knowledge and a relevant degree.

The Data Quality & Purging Analyst role involves applying data science and analytics to improve business performance, translating stakeholder needs, and directing analytics projects, particularly in the insurance sector.

Entry-level role conducting research on financial services individuals and firms, verifying and updating database records, collecting data from reliable online sources, ensuring data quality, and learning new processes to support market intelligence operations.

Analyze data sets to identify trends and insights, create dashboards using Tableau or Power BI, support decision-making with data-driven reports, and ensure data accuracy.

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