Top Data & Analytics Jobs

Performs deposit pricing and portfolio analytics for consumer and small business banking. Analyzes large datasets to evaluate customer behavior, balance migration, product performance, pricing effectiveness, portfolio health, growth, mix, and profitability. Develops scenario analyses, recurring reports, visualizations, and leadership presentations while ensuring data quality, governance, and analytical rigor. Collaborates with pricing, product, strategy, and analytics teams to support strategic decisions and portfolio optimization.

Designs, develops, modernizes, and supports enterprise ETL/ELT pipelines using SSIS, Informatica, Python, and SQL. Leads migrations to IDMC, builds data ingestion and automation utilities, performs transformations and data quality processes, and integrates heterogeneous data sources. Responsibilities include performance tuning, error handling, audit logging, production support, incident resolution, documentation, code reviews, orchestration, and compliance with data governance and regulatory requirements.

Lead enterprise proactive monitoring governance for internal employee fraud: coordinate and evaluate Line-of-Business monitoring, review and calibrate rules, manage inventories, partner with Product and Technology on data/platform changes, maintain JIRA/SharePoint/Confluence, support audits/compliance, and drive process and operational improvements to strengthen fraud monitoring capabilities.

Performs complex analytics research and data analysis to support strategic initiatives, extract business insights, and identify engineering enhancements. Leads cross-group technical projects, mentors staff, collaborates with stakeholders, and applies risk and compliance knowledge. Desired work includes Python, AI/ML, LLM, agentic AI, unstructured data, cloud analytics, SAS modernization, visualization, and enterprise AI platform development.

Supports quantitative model maintenance, optimization, implementation, validation, monitoring, reporting, and documentation. Analyzes data, models, and outputs; develops process improvements; creates dashboards; performs UAT and post-implementation validation; manages modeling data across portfolios; troubleshoots issues; and presents recommendations to leadership. The role focuses on credit scoring, statistical modeling, model governance, and operational efficiency while collaborating with business and technical stakeholders.

Leads software and data engineering initiatives, designing, coding, testing, deploying, and optimizing enterprise-scale data platforms. Builds and modernizes data warehouses, lakes, and lakehouses using cloud, open-source, and ETL technologies. Troubleshoots distributed systems, improves performance and reliability, establishes engineering standards, and conducts code reviews. Contributes to GenAI and LLM-enabled data solutions, governance, security, and cross-functional Agile delivery while mentoring less experienced engineers.

Leads a marketing analytics team responsible for evaluating campaign performance, delivering in-flight and post-campaign insights, and optimizing marketing effectiveness. Partners with stakeholders and senior leaders, oversees statistical modeling and experimentation, analyzes complex datasets, manages resources, and develops analytical capabilities. The role also mentors direct reports, improves data and technical processes, and translates findings into actionable marketing strategies.

Design, build, and maintain optimized, highly available data pipelines and the BMG data warehouse. Lead medium-to-complex data engineering initiatives, perform solution design, code reviews, QA, data integration, and collaborate across teams. Support cloud migration and ensure compliance with data policies for reporting and analytics.

Performs advanced analytics on banking and transaction data to identify trends, assess risks, monitor fraud, analyze customer journeys, and support business performance. Designs Tableau dashboards, defines data architecture and reporting metrics, tests data sources, and communicates complex insights to business and regulatory stakeholders. Leads cross-functional initiatives, mentors analysts, supports compliance and risk management, and translates data findings into actionable decisions. Requires hybrid onsite work in Taguig City during a 5:00 PM–2:00 AM Manila schedule.

Lead and execute moderately complex analytics to support strategic initiatives. Perform data analysis, develop understanding of systems and processes, identify engineering opportunities, mentor junior staff, lead cross-group projects, and ensure compliance and risk controls are followed.