Data Analyst - Senior Manager

• Lead a high-performing analytics team shaping risk strategy
• Enjoy hybrid flexibility with a Fortune 100 company

About Our Client The organisation is a globally recognised financial institution that leverages technology, analytics, and innovation to deliver data-driven business outcomes. With a strong focus on risk management and continuous improvement, the employer offers a collaborative environment where analytics leaders can make significant business impact.

Job Description

• Lead and mentor a team of 3 to 6 data analytics professionals, fostering a high-performance culture.
• Drive the design, development, and implementation of analytics solutions, dashboards, and reporting frameworks.
• Partner with business stakeholders to identify opportunities and deliver data-driven insights that support strategic decisions.
• Oversee data quality, governance, metadata management, and data lineage initiatives.
• Manage the development of automation and self-service analytics capabilities.
• Lead complex data analysis projects involving structured and unstructured datasets.
• Collaborate with technology teams to establish secure and effective data management practices.
• Champion the use of AWS services, open-source technologies, and innovative analytics tools.
• Support risk management initiatives through advanced reporting and predictive analytics.
• Promote best practices in data analytics, process improvement, and operational excellence.

The Successful Applicant

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Finance, Analytics, IT, or a related quantitative field.
• Minimum 7 years of experience in data analytics, data science, or data engineering.
• At least 2 years of people leadership experience.
• Proven experience managing teams of 3 to 6 professionals.
• Strong hands-on experience with SQL and Python.
• Experience with data visualisation tools such as Power BI, Tableau, or similar platforms.
• Exposure to AWS services and cloud-based analytics environments.
• Strong understanding of data warehousing, database structures, and large-scale data processing.
• Excellent stakeholder management and communication skills.
• Experience within banking, financial services, or insurance organisations is preferred.
• Knowledge of Agile, Lean, Six Sigma, or continuous improvement methodologies is advantageous.
• Experience with data governance, data quality management, and related frameworks is preferred.

What's on Offer

• Opportunity to join a Fortune 100 company.
• Exposure to large-scale data, analytics, and cloud transformation initiatives.
• Work on impactful projects supporting enterprise risk management.
• Hybrid working arrangement with only two office visits per month in their Alabang office.
• Mid-shift (3PM to 12AM) schedule supporting global stakeholders.
• Strong career growth and learning opportunities within a data-driven environment.
• Collaborative and innovation-focused culture.
• Exposure to AWS and modern analytics technologies.

Quote job ref: JN-092026-7112894