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Analyst, Big Data Analytics & Engineering

Mastercard · Posted Oct 14

Global technology company connecting consumers, financial institutions, merchants, and businesses through secure payment processing and digital commerce solutions

Pune, Mahārāshtra, IndiaFull-timeOnsiteMid Level1–3 years₹14.0L–₹22.0L yearly100+ applicants
PaymentsFinancial ServicesFintechCredit CardsBankingPublic Company
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About the role

Mastercard is a global technology leader in the payments industry, and this role sits within its Insights & Enablement function, building advanced business analytics and AI-driven solutions. The position is techno-functional, focused on developing and maintaining tools for pre-sales value quantification using SQL, business intelligence platforms, and AI/analytics. The Analyst will work with Sales, Marketing, Consulting, and Product teams to deliver dashboards, ROI calculators, and data-backed insights that strengthen client value propositions.

What you will do

  • Develop tools and solutions to quantify the value of Mastercard's services during the pre-sales process, enabling internal teams to effectively communicate value to customers.
  • Manage and analyse large datasets using SQL and other database management systems to support value quantification efforts.
  • Perform statistical analysis to identify trends, correlations, and insights that inform strategic decisions
  • Utilize business intelligence platforms such as Tableau or Power BI 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
  • Use AI and advanced analytics techniques to enhance pre-sales tools, enabling data-driven insights that support customer engagement, strategic decision-making, and business outcomes.
  • Collaborate with Sales, Marketing, Consulting, Product, 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.
  • Generate actionable insights from data to inform strategic decisions, providing clear, data-backed recommendations to improve pre-sales efforts and customer engagement.

Skills used in this role

SQLTableauPower BIPythonRExcelmachine learningAIstatistical analysisbusiness intelligencedata visualization

What the employer is looking for

  • 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.
  • 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
  • Strong skills in Excel, including advanced functions, pivot tables, and data visualization, to build and optimize ROI calculators and other analytical tools
  • Experience with database management systems and proficiency in SQL for querying and managing large datasets
  • Understanding of web-based platforms and tools for developing end-to-end solutions that cater to pre-sales needs
  • Ability to perform statistical analysis to identify trends, correlations, and insights that support strategic decision-making
  • Strong collaboration skills to work effectively with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful tool development and deployment
  • Excellent communication skills to convey insights and tool value through compelling presentations and dashboards to senior leadership and internal teams
  • A results-driven mindset with the ability to balance strategic vision with tactical execution, ensuring that tools and solutions are delivered on time and create measurable business value.
  • 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

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Mastercard

Mastercard is a global technology company in the payments industry that connects consumers, financial institutions, merchants, governments, and businesses worldwide. It operates a fast and secure payment processing network that spans more than 200 countries and territories. Through innovative products and solutions in credit, debit, digital assets, and security, Mastercard makes commerce safer, simpler, and more accessible.

Industry
Payments
Company size
10001+ employees
Founded
1966
Location
Purchase, New York, USA
Funding stage
Public Company

Funding

Public Company · $115M raised

Public Shareholders

Leadership

MM
Michael Miebach

Chief Executive Officer

SM
Sachin Mehra

Chief Business Officer

EM
Ed McLaughlin

President & Chief Technology Officer

SM
Susan Muigai

Chief People Officer