Mastercard is Hiring an Associate Analyst – Product Data & Analytics

🕘 Job Type: Full-time 📍 Location: Gurgaon, Haryana, India

Mastercard is seeking an entry-level Associate Analyst to join its Product Data & Analytics team. You’ll work on creating a single source of truth (SSOT) data platform, shaping data models, and driving data-driven decisions across the organization.

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🚀 Role Overview

• Position: Associate Analyst – Product Data & Analytics
• Experience Required: 2+ years in data analysis, data mining, analytics, or reporting
• Employment Type: Full-time
• Seniority Level: Entry-level

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📊 Key Responsibilities

• Define logical/conceptual data models and mappings for the SSOT platform
• Maintain the data catalog and ensure scalable support for self-service analytics
• Collect business requirements and translate into technical deliverables
• Conduct data validation, cleansing, and quality-control activities
• Apply DataOps practices and write maintainable code for high-scale data environments
• Support UAT, documentation (data dictionaries, mappings), and collaboration with cross-functional teams

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💼 Required Skills

• 2+ years’ experience in data analysis / reporting / analytics
• Advanced SQL skills and experience with large data sets
• Ability to define data models and mappings; experience in data validation
• Strong analytical, problem-solving, and communication skills
• Ability to collaborate with stakeholders and work under ambiguity

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🛠️ Preferred Skills

• Experience in financial services or payments industry
• Familiarity with Cloudera Hadoop, SQL Server, Microsoft BI, Cloud Platforms
• Exposure to Python, Scala, Spark, and data visualization tools (Tableau, Domo, PowerBI)

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🌍 About Mastercard & the Team

Mastercard’s Product Data & Analytics team builds end-to-end data solutions, serving internal data needs across six continents. You’ll join analytics engineers, data architects, BI developers, and data scientists to build a robust SSOT platform that drives business insights globally.

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🔗 Apply Now:

Apply link: https://www.linkedin.com/jobs/view/4233452878