Data Analyst - Senior Manager

AimBig Employment Pty Ltd; Muntinlupa; Hybrid; PHP 1,800,000 - 3,000,000; Full time

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.

Skills

SQL

Python

Power BI

Tableau

Leadership

Stakeholder management

Education

Bachelor's degree in a quantitative field

Tools

AWS

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.