Senior System 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 System Analyst Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Role Overview The System Analyst for the Workplace Intelligence Platform plays a critical role in bridging business needs with scalable technical solutions. This role focuses on translating complex workplace, sustainability, and enterprise data requirements into well-architected, high-impact analytics and platform capabilities. The analyst partners closely with business leaders, product teams, and engineering to drive data-driven decision-making and platform innovation. ________________________________________ Key Responsibilities 1. Technical Expertise & Solutioning Align product capabilities with enterprise technology strategies and evolving data platform architectures Contribute to scalable, modular, and reusable technical designs leveraging shared services and capabilities Translate business needs into detailed system requirements, data models, and technical specifications Develop prototype designs and recommend optimal solutions balancing feasibility, performance, and time-to-market Maintain deep expertise in a focused set of Workplace Intelligence products and use cases ________________________________________ 2. Requirements & Analysis Lead requirements gathering with business stakeholders to uncover underlying needs and define clear objectives Independently drive research and documentation for complex features and initiatives Structure large-scale requirements across multiple data domains (e.g., workplace, sustainability, finance) Identify synergies and conflicts across use cases and propose holistic solutions ________________________________________ 3. Data Strategy & Architecture Apply strong understanding of enterprise data strategy, governance, and data usage principles Recommend optimal data structuring approaches (e.g., entity design, transformations, historical tracking) Partner with engineering teams on data modeling decisions across data lake, warehouse, and API layers Ensure data quality, integrity, and compliance across solutions ________________________________________ 4. Problem Solving & Insight Generation Break down complex problems using structured, hypothesis-driven approaches Perform detailed analysis and generate actionable insights with high accuracy Validate outputs rigorously and refine solutions based on findings Proactively investigate inconsistencies and drive deeper analysis where needed ________________________________________ 5. Planning, Prioritization & Execution Lead feature planning, scoping, and estimation in collaboration with product and engineering teams Create clear execution plans across the full feature lifecycle (requirements → development → release) Prioritize high-impact work, adapt to changing needs, and proactively mitigate risks Coordinate dependencies across teams, vendors, and stakeholders ________________________________________ 6. Stakeholder Management & Communication Communicate complex technical concepts clearly to both technical and non-technical audiences Tailor messaging based on audience and drive alignment across diverse stakeholder groups Proactively share progress, risks, and next steps to ensure transparency Facilitate discussions and build consensus across teams ________________________________________ 7. Product Ownership & Advocacy Contribute to product roadmap, backlog prioritization, and long-term platform vision Advocate for usability, adoption, and continuous improvement of platform features Monitor feature performance, usage, and feedback to drive enhancements Ensure strong alignment with business use cases and end-user needs ________________________________________ 8. Testing, Support & Continuous Improvement Define test scenarios, validate outputs, and review results to ensure quality delivery Troubleshoot complex issues, identify root causes, and implement sustainable fixes Enhance documentation, usability, and monitoring based on support insights Drive continuous improvement in team processes and delivery practices ________________________________________ 9. Team Collaboration & Mentorship Act as a strong thought partner across product, engineering, and analytics teams Mentor junior analysts and promote best practices in analysis and design Foster collaboration, knowledge sharing, and a culture of innovation ________________________________________ Key Skills & Qualifications Strong experience in system analysis, data platforms, or analytics solutions Deep understanding of data architectures (data lake, warehouse, APIs, medallion architecture) Proficiency in SQL and familiarity with modern data technologies (e.g., Iceberg, Hadoop/Ozone, cloud platforms) Excellent problem-solving, analytical, and structured thinking skills Strong communication and stakeholder management abilities Experience working in Agile/SAFe environments ________________________________________ What Success Looks Like High-quality, scalable solutions aligned with business and technology strategy Clear, structured requirements enabling efficient delivery Strong stakeholder trust and effective cross-team collaboration Continuous improvement in platform capabilities, usability, and adoption 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. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.