Senior Data Analyst

Mastercard; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Mastercard in India is seeking a Senior Data Analyst for the Product Data & Analytics team to drive data-driven decisions across products, markets and services. You will design data models, dashboards and advanced reports, collaborating with stakeholders to optimize performance and outcomes.

The role requires deep SQL, BI tool expertise, cloud experience, and the ability to mentor colleagues in a fast-paced environment.

Qualifications

• Experience in data management, data mining, analytics and reporting.
• Expertise building semantic models and self-service BI solutions.
• Advanced SQL skills for large-scale data environments.
• Proficiency with Tableau, Power BI and QlikView.
• Experience with cloud platforms like AWS and Azure.
• Programming with Python, PySpark, Hive and R.
• Strong communication and stakeholder management.

Responsibilities

• Architect, develop, and maintain data engineering and reporting solutions.
• Obtain data from multiple sources and derive insights.
• Build data models, dashboards, and performance metrics.
• Present insights to leadership and cross-functional teams.
• Mentor junior team members and support growth.

Skills

Data management

Data mining

Data analytics

Reporting

Data product development

Quantitative analysis

Education

Bachelor's or Master's in CS/IT/Engineering/Math/Statistics

Tools

Tableau

Power BI

QlikView

Databricks

Microsoft Fabric

Hadoop

SQL Server

Python

PySpark

Hive

R

Job description

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

Senior Data Analyst

Product Data & Analytics Team

Senior Data Analyst - Product Data & Analytics

Overview

Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.

• Are you excited about Data Assets and the value they bring to an organization?
• Are you an evangelist for data driven decision making?
• Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
• Do you want to be the go-to resource for data analytics in the company?

Role & Responsibilities

Architect, develop, and maintain data engineering, advanced reporting, and data visualization solutions to support analytics and reporting needs across products, markets, and services.

• Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases and actionable insights.
• Leverage large-scale databases and analytical tools to manipulate data and synthesize insights.
• Execute cross-functional projects using advanced modeling and analytical techniques to uncover insights and drive strategic business decisions.
• Build, develop, and maintain data models, reporting systems, dashboards, and performance metrics that support key business outcomes.
• Provide insights, assessments, and recommendations through Tableau, Power BI, Excel, and PowerPoint.
• Apply data quality controls, validation, and cleansing processes to ensure the accuracy and reliability of data assets.
• Communicate analytical findings and business impacts to stakeholders across leadership, technology, sales, marketing, and product teams.
• Capture and share intellectual capital, tools, methodologies, and best practices across projects to drive organizational learning.
• Lead, mentor, and guide junior team members to support their growth and development.
• Recruit, train, develop, and supervise data engineering and analyst-level talent.
• Demonstrate passion, curiosity, and expertise to solve complex business challenges and deliver measurable impact.

All About You

• Strong experience in data management, data mining, data analytics, reporting, data product development, and quantitative analysis.
• Expertise in building semantic models and self-service BI and analytics solutions.
• Advanced SQL skills with experience optimizing queries for large-scale and big data environments.
• Proficiency with BI and visualization platforms including Tableau, Power BI, QlikView.
• Hands‑on experience with Databricks, Microsoft Fabric, Cloudera Hadoop, SQL Server, and big data technology stacks.
• Experience working with cloud platforms such as AWS and Azure.
• Programming experience with Python, PySpark, Hive, and R.
• Ability to present data findings in a clear, insight-driven format and develop executive‑ready presentations and support decks.
• Experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS) is a plus.
• Strong problem‑solving, quantitative, and analytical skills.
• Deep technical aptitude with a strong ability to learn and adopt new technologies.
• Exceptional attention to detail and commitment to data quality.
• Effective communicator with strong stakeholder management and requirements gathering skills.
• Collaborative team player who can work effectively across functions and levels of management.
• Ability to exercise sound judgment, navigate ambiguity, and perform in fast‑paced team environments.
• Financial services or payments industry experience is a plus.

Education

• Bachelor's or Master's Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics

Additional Competencies

• Excellent English, quantitative, technical, and communication (oral/written) skills
• Analytical/Problem Solving
• Strong attention to detail and quality
• Creativity/Innovation
• Self‑motivated, operates with a sense of urgency
• Project Management/Risk Mitigation
• Able to prioritize and perform multiple tasks simultaneously

Corporate Security Responsibility

All activities involving access