Senior Data Analyst

Senior Data Analyst

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 AnalystJob Description
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?
The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our 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 to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Experience Level

Senior Level