Analyst, Big Data Analytics & Engineering

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.

Our culture is driven by our Decency Quotient (DQ), ensuring inclusivity, respect, and integrity guide everything we do. Operating across 210+ countries and territories, Mastercard is dedicated to building a sustainable world with priceless opportunities for all.

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Position Overview

Based in Gurgaon, India, this is a techno-functional position that combines strong technical skills with a deep understanding of business needs and requirements. The role focuses on developing and maintaining advanced business analytics and AI-driven solutions for value quantification. As an Analyst, you will be responsible for creating and optimizing tools that help Mastercard's internal teams quantify the value of services, enhance customer engagement, and drive business outcomes. You will combine AI and analytics to deliver actionable insights, empowering teams to make informed decisions and strengthen client value propositions. The role requires close collaboration across teams to ensure tools meet business needs and deliver measurable impact.

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Key Responsibilities

1. Value Quantification & Tool Development

Develop tools and solutions to quantify the value of Mastercard's services, enabling internal teams to effectively communicate value to customers.

2. Technicals and Data Analytics

Use Python, R, and SQL for data analytics, modelling, and tool development. Expected to manage and analyse large datasets using SQL and other database management systems to enable value quantification efforts.

Perform statistical analysis to identify trends, correlations, and insights that inform strategic decisions.

Develop and deploy advanced analytics tools like ROI calculators and value dashboards.

3. Business Intelligence and Reporting

Utilize business intelligence platforms such as Tableau, Power BI or similar tools to create insightful dashboards and reports that communicate the value of services.

Generate actionable insights from data to inform strategic decisions and provide clear, data-backed recommendations.

4. AI & Analytics Integration for Business Impact

Use AI and advanced analytics techniques to enhance value quantification tools, enabling data-driven insights that support customer engagement, strategic decision-making, and business outcomes.

5. Cross-Functional Collaboration & Stakeholder Engagement

Collaborate with Sales, Customer Success, Pricing, Product, Consulting, and other internal teams to understand business needs and ensure successful tool development and deployment.

Communicate insights and tool value through compelling presentations and dashboards to senior leadership and internal teams, ensuring tool adoption and usage to senior leadership and internal teams, ensuring tool adoption and usage.

6. Insight Generation, Reporting & Process Optimization

Generate actionable insights from data to support strategic decisions, providing clear, data-backed recommendations to enhance customer engagement.

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All About You

Data Analytics and Business Intelligence:

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.

AI and Machine Learning:

Knowledge of AI and machine learning algorithms to enhance pre-sales tools and generate data-driven insights.

Familiarity with programming languages such as Python or R for developing and implementing machine learning models.

Advanced Excel Skills:

Strong skills in Excel, including advanced functions, pivot tables, and data visualization, to build and optimize ROI calculators and other analytical tools.

Database Management and SQL:

Experience with database management systems and proficiency in SQL for querying and managing large datasets.

Web-Based Platforms:

Understanding of web-based platforms and tools for developing end-to-end solutions.

Statistical Analysis:

Ability to perform statistical analysis to identify trends, correlations, and insights that support strategic decision-making.

Cross-Functional Collaboration:

Strong collaboration skills to work effectively with Sales, Customer Success, Consulting, Pricing, Product, and other internal teams to understand business needs and ensure successful tool development and deployment.

Communication and Presentation:

Excellent communication skills to convey insights and tool value through compelling presentations and dashboards to senior leadership and internal teams.

Execution Focus

A results-driven mindset with the ability to balance strategic vision with tactical execution, ensuring that tools and solutions are delivered on time and they create measurable business value.

Education

Bachelor's degree in data science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, or AI/ML are preferred.