Senior Analyst, Big Data Analytics & Engineering

Mastercard powers economies and empowers people in 200+ countries, providing digital payments solutions and making transactions secure, simple, smart and accessible.
$80,000 - $120,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Finance

Description For Senior Analyst, Big Data Analytics & Engineering

Mastercard is seeking a Senior Analyst for Big Data Analytics & Engineering to join their innovative team. This role sits at the intersection of data engineering and analytics, focusing on enabling data-driven solutions across the organization. The position is part of the AI & DPE Platform services team, responsible for product management and innovative product development addressing evolving risk and security needs.

The ideal candidate will work with complex data systems, performing data ingestion, aggregation, and analysis to drive insights and business value. They will collaborate across teams, including Product Management, Data Science, and Technology, to deliver data solutions that generate business value. The role involves working with high-volume, high-dimensionality data from various sources, using tools like Python, Hadoop, and SQL.

Key responsibilities include developing proof of concepts and prototypes, integrating new data assets, analyzing transaction data, and collecting stakeholder feedback. The position requires strong technical skills in data engineering tools and platforms, combined with the ability to communicate effectively with both technical and business teams.

This is an excellent opportunity for a data professional looking to impact global financial technology, working with cutting-edge tools and technologies in a collaborative environment. The role offers exposure to innovative projects in risk management, security, fraud prevention, and digital identity solutions.

Last updated 9 days ago

Responsibilities For Senior Analyst, Big Data Analytics & Engineering

  • Perform data ingestion, aggregation, and processing to enable insights from available data sets
  • Partner with Product Manager, Data Science, Platform Strategy, and Technology teams on data requirements
  • Manipulate and analyze complex, high-volume data from varying sources
  • Identify innovative ideas and deliver proof of concepts and prototypes
  • Integrate new data assets to increase value proposition
  • Analyze large volumes of transaction and product data
  • Collect feedback from clients, development, product and sales teams

Requirements For Senior Analyst, Big Data Analytics & Engineering

Python
MongoDB
  • Good understanding of 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 programming languages knowledge
  • Experience with data integration tools (ETL/ELT)
  • Experience in hands-on data modeling and programming
  • Strong understanding of analytical methods and data visualization
  • Ability to work in a fast-paced environment
  • Ability to communicate with business, analytical, and technical teams

Benefits For Senior Analyst, Big Data Analytics & Engineering

Medical Insurance
Vision Insurance
Dental Insurance
  • Comprehensive health benefits including medical, dental, and vision insurance
  • Professional development opportunities
  • Global work environment

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