Mastercard

Senior Data Scientist

Mastercard
4 / 5
Gurugram Not disclosed
3 hours ago
On-Site
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About the job

Overview: • 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: • Work closely with global & regional teams to architect, develop, and maintain data engineering, advanced reporting and data visualization capabilities on large volumes of data 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. • Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. • Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions. • Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects. • Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint. • Apply quality control, data validation, and cleansing processes to new and existing data sources. • Lead, mentor and guide more junior team members.

Requirements

  • Data management
  • data warehousing
  • data analytics
  • data reporting
  • data product development

Qualifications

  • Bachelor’s or Master’s Degree in Computer Science
  • Information Technology
  • Engineering
  • Mathematics
  • Statistics

Preferred Technologies

  • Data management
  • data warehousing
  • data analytics
  • data reporting
  • data product development

About the company

The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on business health and portfolio optimization.

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