\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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\\\\ Manager, Data Strategy & Product Analytics and Insights Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Are you an experienced data leader with hands on experience and a passion for technological innovation, have a can do attitude and strong sense of ownership? The Mastercard Merchant Cloud team is the perfect opportunity for you to assist in the design & development of a world class unified platform, enabling commerce globally. Mastercard Merchant Cloud is looking for a Manager Data Analytics & Product Insights to lead the transformation of our Product Analytics & Insights offering. You will work closely with cross functional teams, including product managers, sales & market development, data engineers and data scientists to design, build, integrate data Key Responsibilities Collaborate with Cross Functional Business Teams: Sales, Global and Regional Product, Marketing, Customer Success, Finance to identify their Key Data Use Cases and needs. Democratize Data Analytics across the Team, to ensure all business functions are data driven and use data as a key asset to make decisions. Design, Build Data Analytics Models and Product Insights Reports that will be used as a single source of truth by our internal teams to better perform their core business functions. Design, Build Data Insights Service / Products and tools to support our GTM and proposition to our customers. Support Data Engineering and Product designing a New Data Analytics & Insights Platform. Support Executive Leadership Team by providing them powerful Data Insights that will drive decision making as well as identify threats and opportunities. Design Product Development Data Principles and Data Governance Frameworks and drive their implementation across the organization. Support Product Strategic Initiatives that demand Data Insights, like Go to Market Strategy Definition, Partnerships Model, and many others. All about you Passion for Data Analytics and using data and AI as an asset to drive product strategy and business decision making. Ability to talk with different Business Teams and Customers, identify their Needs and translate those into Data Analytics Models Requirements. Ability to translate complex Big Data Outputs into clear business narratives and messages, and present those to business teams, executives, and customers. Excellent analytical skills with a proven ability to solve problems and deliver actionable insights to support the business and leadership teams. Experience working with Data Engineering Team, to better understand data sources, data elements, ETL Processes and design data dictionaries and metrics computation methodologies. Demonstrated ability in Data Analytics Roles. Hands-on experience in SQL programming. Experience of visualisation platforms such as Tableau (preferred), or PowerBi. Python Programming and Alteryx Knowledge is a plus. Experience in Designing, Building Data Insights Services/Products for External Customers is a plus. Consulting Experience is a plus, as well as global roles with cross teams collaboration. \\\\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 Mastercards 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 Mastercards guidelines.

The role requires a passion for data analytics and using data and AI to drive product strategy and business decision-making. The candidate must be able to communicate with various business teams and customers to identify needs and translate them into data analytics model requirements. They should possess excellent analytical skills with a proven ability to solve problems and deliver actionable insights. Experience working with data engineering teams to understand data sources, elements, ETL processes, and design data dictionaries and metrics computation methodologies is necessary. Hands-on experience in SQL programming is also required, along with experience in visualization platforms such as Tableau or Power BI.