Mastercard
Analyst, Big Data Analytics & Engineering
Overview
The Analyst, Big Data Analytics & Engineering role is a techno-functional position focusing on developing and maintaining advanced business analytics and AI-driven solutions for pre-sales value quantification.
About Mastercard
Mastercard is a global technology leader in the payments industry, committed to powering an inclusive, digital economy that benefits everyone, everywhere. By leveraging secure data, cutting-edge technology, and innovative solutions, we empower individuals, financial institutions, governments, and businesses to achieve their potential.
Requirements & Eligibility
- Bachelor's degree in data science, Computer Science, Business Analytics, Economics, Finance, or a related field
- Proficiency in data analytics tools and techniques to analyse and interpret complex datasets
- Experience in creating insightful dashboards and reports using business intelligence platforms such as Tableau, Power BI, or similar tools
- Familiarity with programming languages such as Python or R for developing and implementing machine learning models
- Strong skills in Excel, including advanced functions, pivot tables, and data visualization
- Proficiency in SQL for querying and managing large datasets
Key Responsibilities
- Develop tools and solutions to quantify the value of Mastercard's services during the pre-sales process
- Manage and analyse large datasets using SQL and other database management systems to support value quantification efforts
- Utilize business intelligence platforms such as Tableau or Power BI to create insightful dashboards and reports
- Use AI and advanced analytics techniques to enhance pre-sales tools, enabling data-driven insights
- Collaborate with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful tool deployment
- Generate actionable insights from data to inform strategic decisions and provide clear, data-backed recommendations
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