Lead, Big Data Analytics & Engineering

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

Lead, Big Data Analytics & Engineering

The AI & Decision Product Enablement Platform Services team is responsible for product management and innovative product development of products and services to address the evolving risk and security needs of all of Mastercard’s various customer segments. Cyber Product Integration team in C&I focuses on defining the strategic direction for underlying platforms to enable the successful implementation of real-time, data-driven innovative products and services focused on network, security, fraud, digital identity and authentication. The team is responsible to look across all the products/services across security solutions and drive efficiency, re-usability and increase speed to market for our products and services.
The candidate for this position will focus on Data Unification across different data assets, enabling a single unified view of data from multiple sources and support the development of new innovative data driven cyber products, services and actionable insights.
The Role:
We are seeking a Lead, Big Data Analytics & Engineering who will:
• Perform data ingestion, aggregation, processing to drive and enable relevant insights from available data sets.
• Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on data needs/requirements in order to deliver data solutions that generate business value.
• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
• Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements.
• Integrate new data assets which increase the value proposition for our customers and enhance our existing solutions and services.
• Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth
• Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements.
• Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.
All About You:
• Strong proficiency in Python – Pandas, Numpy, PySpark and Impala.
• Experience in doing data analysis and extraction on Hadoop.
• Experience with Enterprise Business Intelligence Platform/Data platform.
• Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools
• Experience with data integration tools – ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Pentaho, Talend)
• Experience with Graph Database is a plus.
• Experience in hands-on data modeling, programming, querying, data mining and report development using large volumes of granular data to deliver business intelligence and custom reporting solutions.
• Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies.
• Strong understanding of the application of analytical methods and data visualization to support business decisions.
• Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base.
• 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
Location Requirement: This is a hybrid position based in Mastercard's O'Fallon, Missouri location.
This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.
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Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges

O'Fallon, Missouri: $138,000 - $221,000 USD