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
Job 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.
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- 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.