Senior Data Analytics Lead - Risk & Cloud Transformation

AimBig Employment Pty Ltd

Muntinlupa

Hybrid

PHP 1,800,000 - 3,000,000

Full time

4 days ago

Be an early applicant

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Hybrid work arrangement

Career development opportunities

Job summary

AimBig Employment Pty Ltd invites a senior analytics leader to drive risk-focused data analytics initiatives for a Fortune 100 client in a hybrid Manila-based role. You will mentor a small team, design analytics solutions, and partner with stakeholders to deliver impactful insights and automation.

You will oversee data quality, governance, and data lineage while promoting best practices and modern analytics tools.

Qualifications

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Finance, Analytics, IT, or a related quantitative field.
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.

Responsibilities

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.