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

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

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.