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Fresher
Not Disclosed
  • Posted a month ago
  • Be among the first 10 applicants

Job Description

  • 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.
Contact
Keith Saique
Quote job ref
JN-092026-7112894
Phone number
+63277955039

Key Skills

Self-service analytics

Cloud-based analytics environments

Open-source technologies

Data quality management

Large-scale data processing

Database structures