Our PurposeMastercard 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 SummarySenior System AnalystWho 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 OverviewThe 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 Responsibilities1. Technical Expertise & SolutioningAlign product capabilities with enterprise technology strategies and evolving data platform architecturesContribute to scalable, modular, and reusable technical designs leveraging shared services and capabilitiesTranslate business needs into detailed system requirements, data models, and technical specificationsDevelop prototype designs and recommend optimal solutions balancing feasibility, performance, and time-to-marketMaintain deep expertise in a focused set of Workplace Intelligence products and use cases________________________________________2. Requirements & AnalysisLead requirements gathering with business stakeholders to uncover underlying needs and define clear objectivesIndependently drive research and documentation for complex features and initiativesStructure 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 & ArchitectureApply strong understanding of enterprise data strategy, governance, and data usage principlesRecommend 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 layersEnsure data quality, integrity, and compliance across solutions________________________________________4. Problem Solving & Insight GenerationBreak down complex problems using structured, hypothesis-driven approachesPerform detailed analysis and generate actionable insights with high accuracyValidate outputs rigorously and refine solutions based on findingsProactively investigate inconsistencies and drive deeper analysis where needed________________________________________5. Planning, Prioritization & ExecutionLead feature planning, scoping, and estimation in collaboration with product and engineering teamsCreate clear execution plans across the full feature lifecycle (requirements → development → release)Prioritize high-impact work, adapt to changing needs, and proactively mitigate risksCoordinate dependencies across teams, vendors, and stakeholders________________________________________6. Stakeholder Management & CommunicationCommunicate complex technical concepts clearly to both technical and non-technical audiencesTailor messaging based on audience and drive alignment across diverse stakeholder groupsProactively share progress, risks, and next steps to ensure transparencyFacilitate discussions and build consensus across teams________________________________________7. Product Ownership & AdvocacyContribute to product roadmap, backlog prioritization, and long-term platform visionAdvocate for usability, adoption, and continuous improvement of platform featuresMonitor feature performance, usage, and feedback to drive enhancementsEnsure strong alignment with business use cases and end-user needs________________________________________8. Testing, Support & Continuous ImprovementDefine test scenarios, validate outputs, and review results to ensure quality deliveryTroubleshoot complex issues, identify root causes, and implement sustainable fixesEnhance documentation, usability, and monitoring based on support insightsDrive continuous improvement in team processes and delivery practices________________________________________9. Team Collaboration & MentorshipAct as a strong thought partner across product, engineering, and analytics teamsMentor junior analysts and promote best practices in analysis and designFoster collaboration, knowledge sharing, and a culture of innovation________________________________________Key Skills & QualificationsStrong experience in system analysis, data platforms, or analytics solutionsDeep 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 skillsStrong communication and stakeholder management abilitiesExperience working in Agile/SAFe environments________________________________________What Success Looks LikeHigh-quality, scalable solutions aligned with business and technology strategyClear, structured requirements enabling efficient deliveryStrong stakeholder trust and effective cross-team collaborationContinuous improvement in platform capabilities, usability, and adoptionCorporate Security ResponsibilityAll 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, andComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.