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

• Analyst
• FP&A

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.

Analyst, FP&A, will assist in driving standardization of reporting across all regions, leveraging tools like Power BI, Microsoft Fabric, SQL, advanced Excel. This position requires a highly analytical, independent thinker who possesses strong communication skills & strategic thinking that is highly motivated. The position will also provide exposure to various levels of management as well as cross-functional partnerships.

Key Responsibilities:

Building machine learning solutions to generate actionable insights.
Build backend structures/data bases structure for dashboards.
Developing and Maintaining centralized Dashboards and MIS
Collaborate with Americas & Corporate FP&A to develop and maintain advanced analytics and data science tools
Train team on automation skills and extend support to workstreams

Qualifications:

Education & Experience:

Strong academic background in Computer Science, Data Science, Technology, or a related field
Experience in data management, mining, analytics, reporting & quantitative analysis.

Technical Skills:

Proficiency in Python, Power BI, Fabric and SQL.
Familiarity with machine learning frameworks, libraries, data structures, and software architecture.

Experience with Big projects on Tableau or Power BI:

Self-motivated with a proven track record of delivering success while operating in a team environment.

Analytical & Communication Skills:

Strong analytical skills with a proven ability to translate data into compelling insights.
Experience interacting with stakeholders to understand technical needs and deliver effective solutions.

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.