Manager, Acceptance Analytics

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As the Manager, Acceptance Analytics, you will work closely with data sets and Mastercard's systems, leveraging your expertise in analytics to connect data insights to broader business performance and strategy. You will be an integral part of the Business Insights, Analytics & Experience team for Global Acceptance, where your role involves identifying trends and insights across products and performance. By collaborating with business teams, you will structure data to drive actionable insights that inform strategy development. Your responsibilities will include leading KPI definition reporting for Global Acceptance, identifying trends and emerging patterns in data sets for actionable insights, and providing timely and relevant insights to support strategic objectives. Partnering with cross-functional teams to organize data effectively and drive valuable insights for key business initiatives will be crucial. You will play a key role in providing strategic insights that shape business strategies based on data-driven decisions. Additionally, you will continuously assess and enhance analytics practices and reporting processes to drive efficiency and effectiveness across the organization. To excel in this role, you should possess strong analytical skills to work with large datasets, proficiency in Mastercard's data systems and tools, and a strategic mindset to align data insights with the broader business strategy. Your ability to quickly learn, identify new patterns, and drive innovation will be essential for spotting growth opportunities and supporting business growth. Effective communication skills are key to translating complex data into clear insights that drive business decisions, while collaboration skills will enable you to work with cross-functional teams towards shared goals. Your interest in actively contributing to strategy development through data-driven insights, self-driven and adaptable nature, and motivation to thrive in a fast-paced environment will be valued. Knowledge of programming languages such as Python, R, or SQL for querying databases, manipulating data, and automating tasks is desired. Advanced Excel skills, including pivot tables, advanced formulas, and macros, are crucial for analyzing and organizing data effectively. Your ability to communicate complex data findings in a clear and compelling manner, making data accessible to non-technical stakeholders, will be essential in this role.,

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