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.

Our Team:

Product Data Analytics has pioneered a transaction-based revenue methodology to inform and guide Mastercard’s Strategy, Product Design, and Innovation. We build internal analytics partnerships, strengthening their focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.

• Are you excited about Data Assets and the value they bring to an organization?

• Are you an evangelist for data driven decision making?

• Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?

• Do you want to be the go-to resource for data science & analytics in the company?

The Role:

• Work closely with Global Pricing and Interchange strategy team to develop an analytic solution (e.g., dashboards, prototypes), utilizing complex statistical and data science techniques that adhere to best practices and communicate the data story and insights across products, markets, and services.

• Drive the evolution of products with an impact focused on data science and engineering.

• Perform data ingestion, aggregation, and processing on high volume and high dimensionality data to drive and enable data unification and produce relevant insights.

• Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations.

• Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.

• Supports junior colleagues by helping with reviewing and debugging their work

All about You

• A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or equivalent work experience.

• High proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi) and advanced SQL to build Big Data products & platforms

• Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively.

• Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts.

• Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.

• Ability to easily move between business, analytical, and technical teams, and articulate solution requirements for each group.

• Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, Alteryx, Power BI and MS Fabric

• Knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture is a plus.

Education

• Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred

Additional Competencies

• Excellent English, quantitative, technical, and communication (oral/written) skills

• Analytical/Problem Solving

• Strong attention to detail and quality

• Creativity/Innovation

• Self-motivated, operates with a sense of urgency

• Project Management/Risk Mitigation

• Able to prioritize and perform multiple tasks simultaneously

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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