Top Data Analyst Jobs in Quezon City

The Reference Data Analyst processes fund events, collaborates with teams for account configurations, performs data validation, and maintains documentation for compliance.

Manage IT inventory and asset management, coordinate with teams for compliance and procurement, oversee projects, and provide training on new tools. Analyze financial data and prepare reports on compliance risks.

The Data Analyst role involves delivering analyses, dashboards, and reporting across various teams at DTN to support data-driven decision-making. Responsibilities include building data models, conducting analyses, and collaborating with cross-functional teams to translate findings into actionable insights.

The Data Analyst focuses on data analysis and collection related to credit risk model monitoring. Responsibilities include identifying data quality issues, implementing solutions, and documenting data collection steps to aid in risk model assessments.

The Senior Financial Data Analyst manages market and master data collection and analysis, ensuring compliance with SLAs and operational risk frameworks to support client needs and improve processes.

As a Lead Financial Data Analyst, you will oversee the collection and distribution of financial data, adhere to operational risk frameworks, and ensure compliance with service level agreements while supporting continuous improvement in operational processes.

Responsible for supporting Master and Reference Data adoption, ensuring data quality, and facilitating compliance with governance requirements in a financial services organization.

Support AI development by transforming data into insights, conducting analysis, collaborating with teams, and ensuring data quality for model training and evaluation.

The Master Data Analyst manages customer and vendor master data, validates bank information, supports data uploads, and drives process improvements.

The Data Analyst II role involves analyzing commercial data, developing processes to monitor data quality, collaborating with stakeholders, and creating data models to optimize business growth.

Lead access management, data governance, and analysis in a Scrum environment. Collaborate with stakeholders to deliver data-driven solutions and ensure compliance.

The Pre-Match Sports Data Analyst will monitor and analyze Pre-Match sports data, respond to client queries, perform data quality assurance, and create reports.

The Data Analyst will analyze data, implement automation processes, and enhance reporting capabilities to support informed business decisions, while managing urgent analytical requests.

The Senior Quality Data Analyst transforms complex data into insights, develops reports and dashboards, and drives continuous improvement initiatives in quality metrics.

The Data Analyst will manage automated data operations, focusing on data collection, analysis, and improving data quality for client projects in financial metrics.

The Business Systems Analyst will update data in Salesforce, manage projects, collaborate across departments, conduct business analysis, and document processes.

The Lending Operations Data Analyst will design data models, manage data pipelines, monitor data quality, and generate reports to enhance processes.

The HRIS Data Analyst develops and maintains reporting solutions in Workday, ensuring data integrity and compliance. They manage reporting requests, partner with stakeholders, and participate in data governance initiatives.

The Embedded Finance Data Analyst analyzes data to support business growth, product development, and operational efficiency, providing insights that enhance decision-making across teams.

The Sr. Data Analyst will perform data mining, deliver business intelligence reporting, analyze functions, recommend improvements and mentor junior staff.

The Data Analyst will ensure CRM data integrity, perform data cleansing, collaborate across teams, and implement data governance procedures.

As a Data Analyst, you will develop actionable data insights, manage data quality, and collaborate with stakeholders to solve data problems.

The Data Analyst collaborates with Business Teams to gather needs, create operational reports, conduct analyses using R or Python, and present findings by defining and computing KPIs.

The Data Analyst manages data requests, handles rapid analyses, maintains data quality, and leverages AI to improve insights and efficiency across the team.

Assist B2B clients with queries, develop knowledge of sports data products, escalate issues, and maintain timely communication with stakeholders.