Develops operational dashboards and KPI reporting for global network operations. Analyzes monitoring and network data to identify trends, risks, and improvement opportunities; translates business requirements into actionable insights and visualizations; automates reporting through data extraction, transformation, integration, and scripting; and designs ETL workflows to onboard data sources and improve data quality and accessibility.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Lead, Network Data Engineer
The Global Network Engineering team is responsible for: supporting and assisting in the design, architecture, implementation, security, and ongoing support of large-scale, multi-site, multi-vendor MPLS network environments.
Key Responsibilities:• Develop, maintain, and enhance operational dashboards using tools such as Domo and Power BI.• Analyze network operations and monitoring data to identify trends, risks, and opportunities for improvement.• Define, track, and report KPIs and operational metrics for Network leadership.• Partner with stakeholders to translate business requirements into actionable insights, reports, and visualizations.• Drive automation of manual reporting processes through data extraction, transformation, integration, and scripting.
Design and develop ETL workflows to onboard new data sources and improve data quality, consistency, and accessibility.
Preferred Skills and Experience• Experience with BI and data visualization platforms such as Domo, Power BI, Tableau, or similar tools.• Strong proficiency in SQL, data analysis, and reporting.• Experience working with large datasets, operational metrics, and KPI reporting.• Strong ETL workflow development experience.• Knowledge of Python or similar programming languages for automation and data processing is a plus.
Experience in network operations, infrastructure, or technology environments would be an advantage.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Lead, Network Data Engineer
The Global Network Engineering team is responsible for: supporting and assisting in the design, architecture, implementation, security, and ongoing support of large-scale, multi-site, multi-vendor MPLS network environments.
Key Responsibilities:• Develop, maintain, and enhance operational dashboards using tools such as Domo and Power BI.• Analyze network operations and monitoring data to identify trends, risks, and opportunities for improvement.• Define, track, and report KPIs and operational metrics for Network leadership.• Partner with stakeholders to translate business requirements into actionable insights, reports, and visualizations.• Drive automation of manual reporting processes through data extraction, transformation, integration, and scripting.
Design and develop ETL workflows to onboard new data sources and improve data quality, consistency, and accessibility.
Preferred Skills and Experience• Experience with BI and data visualization platforms such as Domo, Power BI, Tableau, or similar tools.• Strong proficiency in SQL, data analysis, and reporting.• Experience working with large datasets, operational metrics, and KPI reporting.• Strong ETL workflow development experience.• Knowledge of Python or similar programming languages for automation and data processing is a plus.
Experience in network operations, infrastructure, or technology environments would be an advantage.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Mastercard Singapore, Singapore, SGP Office
3 Fraser Street DUO Tower Level 17, Singapore, Singapore, 189352
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