Senior HR Analyst

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 Senior HR Analyst About the Role The People Analyst will be a key member of the Regional People Data & Analytics team, delivering workforce insights, analytics, and strategic decision support across multiple business units globally. This role combines analytics, data management, reporting, program management, and emerging AI capabilities to enable data-driven talent decisions across Mastercard. The ideal candidate is a detail-oriented problem solver with strong SQL and data modeling expertise, a passion for data quality, and an interest in leveraging Generative AI to improve workforce analytics and business outcomes. This individual will help transform complex people data into actionable insights while driving consistency, scalability, and innovation across reporting and analytics solutions.

Workforce Analytics & Reporting Serve as the primary point of contact for operational reporting, workforce metrics, and analytics requests from global stakeholders. Partner with business leaders to understand underlying business challenges and translate them into actionable analytical solutions. Collaborate with the Financial Planning & Analysis (FP&A) CoE to support monthly headcount reporting, forecasting, and workforce analysis. Develop and maintain dashboards, reports, and visualizations that provide meaningful workforce insights. Data Management & Quality Ensure the accuracy, consistency, and integrity of workforce data across systems and reporting solutions. Partner with HR Systems, Data Management, and Engineering teams to identify and resolve data quality issues. Establish controls and validation processes to improve trust and reliability of workforce metrics. Drive data governance standards and ensure compliance with privacy and security requirements for people data. Data Modeling & Analytics Engineering Design and maintain scalable analytical data models to support reporting, self-service analytics, AI use cases, and workforce planning. Apply dimensional modeling principles and create efficient data structures for workforce analytics. Leverage SQL to query, analyze, validate, and optimize large and complex datasets. Collaborate with Data Engineers and Analysts to improve analytical data foundations and reporting capabilities. AI & Innovation Explore and leverage Generative AI solutions to improve reporting efficiency, automate insights generation, and enhance workforce analytics. Identify opportunities to incorporate AI-driven capabilities into reporting, analytics, and decision support processes. Partner with analytics teams to evaluate emerging technologies and improve the employee analytics experience. All About You Essential Qualifications Experience working with organizational, workforce, HR, or people-related data. Strong analytical and problem-solving skills with the ability to identify root causes behind business questions. Advanced SQL skills with experience querying, analyzing, troubleshooting, and optimizing large datasets. Strong understanding of data modeling concepts, including dimensional modeling, relationships, keys, hierarchies, and analytical data structures. Proven ability to improve data quality, data integrity, and reporting accuracy across multiple systems and data sources. Advanced Excel experience including Pivot Tables, XLOOKUP/VLOOKUP, formulas, conditional formatting, charts, and data analysis. Ability to communicate complex analytical findings to