Senior Analyst, AI & Data Strategy

Senior Analyst, AI & Data Strategy

Senior Analyst, AI & Data Strategy

• Execute data quality and pricing monitoring initiatives by partnering with GCO Compliance, data strategy leads, business SMEs, and stakeholders to identify gaps, validate requirements, and deliver actionable, compliance-aligned insights.


• Perform advanced data analysis using SQL, cloud platforms, and automation tools; continuously refine outputs to drive meaningful business decisions.


• Lead the design and development of data ingestion pipelines and ETL workflows across cloud and on-prem systems, while supporting GCO pricing strategy execution and monitoring.


• Develop and maintain dashboards, reports, and documentation to track data quality, pricing metrics, and key performance indicators.


• Support strategic GCO compliance and pricing decisions by gathering requirements, validating use cases, and assessing data readiness for enterprise initiatives.


• Collaborate with business and technical teams to execute workflows, ensure data pipeline reliability, and monitor performance.


• Contribute to data modernization efforts by recommending enhancements to data processes, governance frameworks, and security capabilities to enable advanced analytics and innovation.


• Create training materials and deliver knowledge sessions to drive adoption of tools, processes, and best practices.

• Strong understanding of data analysis, data ecosystems, and data management principles.


• Bachelor’s degree in Data Science, Computer Science, or a related field; Master’s degree preferred.


• Excellent analytical, problem-solving, and communication skills with the ability to translate data into actionable insights.


• Hands-on experience with data ingestion, ETL processes, and workflow automation.


• Familiarity with cloud architectures (preferably Databricks), data marketplaces, and emerging technologies such as AI/ML.


• Proficiency in SQL, with working knowledge of Python, Spark, and Hadoop; experience in data wrangling, entity matching, and ETL methodologies.


• Understanding of cloud-based data storage and processing technologies.


• Experience with data visualization tools (preferably Power BI) and operational data management best practices.


• Ability to execute operational tasks while driving process improvements and coordinating cross-functional initiatives.


• Strong intellectual curiosity with a structured, process-driven approach to solving business problems.


• Strategic mindset with the ability to balance long-term architectural goals with short-term business priorities.


• Demonstrated passion for innovation, experimentation, and continuous improvement.


• Familiarity with Mastercard products and systems is a plus.

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.