Top Data Analyst Jobs in Quezon City

As a Client Data Analyst, you will manage operational workflows, assist clients with services, ensure compliance, and drive process improvements while fostering teamwork.

The Data Reporting Analyst will perform ETL tasks, create impactful reports using data analytics, and collaborate with stakeholders to enhance data quality and insights.

The Data Privacy Analyst supports the global privacy program by ensuring compliance with data protection laws and managing privacy operations. Responsibilities include conducting privacy assessments, developing policies, and coordinating training programs.

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 WFM Data Analyst creates reports and dashboards, ensures data integrity, performs advanced analysis, provides forecasting support, and identifies opportunities for process improvements in contact center and back office operations.

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.

Analyze campaign performance across various channels for FMCG clients, develop Power BI trackers, and present insights to stakeholders.

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

The Data Analyst will develop and maintain data models, produce reports, collaborate with teams, and enhance data structures for decision-making and insights.

The Data Analyst is responsible for mentoring and developing programs, analyzing processes, evaluating providers, and deploying resources effectively.

The Data Analyst will analyze data sets, identify insights, and visualize data in Power BI while collaborating with teams to improve business outcomes.

The Data Analyst will maintain data integrity in Salesforce, create reports and dashboards in Excel, streamline processes, and support sales administration.

The Data Analyst will review, cleanse, and ensure the accuracy of data, implement validation checks, and support administrative tasks. The role requires improving data quality for better decision-making.

Analyze commercial data for Sales and Customer Care, identifying improvement opportunities, ensuring data quality, collaborating with stakeholders, and developing data models and reporting solutions.

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.

Analyze data to support product enhancements, create visualizations, collaborate with teams, and resolve data issues. Advocate for data usage.

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

The Data Analyst will prepare data for risk modeling, conduct data quality analysis, and draft functional documentation based on regulations, focusing on finance and risk data management.

Seeking a detail-oriented DBA/Data Analyst to analyze datasets using Python and SQL, creating dashboards, and presenting insights to aid decision-making.

Analyze large datasets to identify suspicious activity, design and tune AML monitoring systems, ensure data integrity, and support investigations.

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

The Sales Data Analyst will optimize operations through data review in Salesforce, manage projects, ensure data integrity, and develop dashboards while collaborating across departments.

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 Customer Success Data Analyst will analyze data, enhance performance metrics, and improve customer experience through operational programs.