Senior System Analyst at Mastercard

Job description

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