Top Data Analyst Jobs in Quezon City

Prepare, cleanse, map, and validate client financial and operational data for NetSuite migrations. Execute CSV imports, perform reconciliation and testing, assist with AP/AR/opening balance conversions, document processes, and support multiple implementation projects to ensure accurate go-lives.

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.

Participate in establishing and implementing data quality processes; monitor, assess, and analyze data; identify inconsistencies; report defects; interpret data and recommend improvements while ensuring compliance and risk management.

Partner with business teams to define and document data requirements, identify and report data quality issues, and implement data quality programs. Analyze data using SQL and BI tools, recommend process improvements, support remediation workflows, and coordinate with stakeholders and technologists while ensuring compliance and risk-aware decision making.

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.

Extract, clean, and analyze data to produce insights and PowerBI dashboards for Consumer Finance. Manage databases and integrations, prepare campaign data and month-end reports, troubleshoot data issues, and recommend process improvements. Collaborate with Finance, IT, and stakeholders while ensuring regulatory compliance and delivering clear, actionable 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.

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 master data operations including account creation/modification, data cleansing/harmonization, compliance checks, escalation handling, and support for mass updates, process improvements, and technology-enabled automation. Collaborate with stakeholders and Team Lead to meet KPIs, train on multiple data objects, and support audits and transition projects.

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.

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

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

As a Junior Research Analyst, you will analyze and input risk data related to ESG issues into the RepRisk database and assess incidents accordingly.

The Data Quality Analyst is responsible for improving data quality by monitoring processes, resolving issues, analyzing data trends, and ensuring compliance with regulations.

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.

Analyze participant data for compliance with plan provisions, resolve data issues with plan sponsors, and communicate effectively with internal teams and clients.

As a Senior Data Analyst, you will own forecasting, reporting, automation, and database management, transforming data into insights that drive decision-making and support business operations.

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