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.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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   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
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   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

• 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.