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 Analyst, Big Data Analytics & Engineering OverviewThe Services Portfolio Management team is looking for a Senior Analyst, Big Data Analytics & Engineering to build a new product that will serve actionable insights to all Programs under Mastercard Services Portfolio.
The ideal candidate should have a proven ability to analyze large data sets and effectively communicate their findings. They must have prior experience in product development, be highly motivated, innovative, intellectually curious, analytical, and possess an entrepreneurial mindset.
Role
• Build a solution stack for a dashboard including front end in PowerBI/Tableau, data integrations, database models, ETL jobs, etc.
• Identify opportunities to introduce Automation and AI tools into workflows.
• Translate product requirements into tangible technical solution specifications and high quality, on time deliverables.
• Partner with other automation specialists across Services I&E to learn and build best practices for building and running the Portfolio Cockpit tool.
• Identify gaps and conceptualize new product/platform capabilities as required.
• Proactively identify automation opportunities
All About You
• Experience with data analysis, with a background in building KPIs and reporting. PowerBI experience preferred or other reporting tools like Tableau, DOMO.
• Experience with PowerApps or other No/Low-code app development tools is a plus
• Experience in systems analysis and application design and development.
• Ability to deliver technology products/services in a high growth environment where priorities change rapidly.
• Proactive self-starter seeking initiatives for advancement.
• Understanding of data architecture and some experience in building logical/conceptual data models or creating data mapping documentation.
• Experience with data validation, quality control, and cleansing processes for new and existing data sources.
• Strong problem-solving, quantitative, and analytical skills.
• Advanced SQL skills, ability to write optimized queries for large data sets.
• Exposure to Python, Scala, Spark, Cloud, and other related technologies is advantageous.
• In-depth technical knowledge, and ability to learn new technologies.
• Attention to detail and quality.
• Team player with effective communication skills.
• Must be able to interact with management, internal stakeholders, and collect requirements.
• Must be able to perform in a team, use judgment, and operate under ambiguity.
• Experience in leveraging generative AI tools to enhance day-to-day tasks is beneficial.
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.
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