\\\\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\\\\ Senior Analyst, Product Data & Analytics Overview The 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. As a Senior Analyst in the Product Data & Analytics team, you will partner across product organizations and help them make data driven decisions. Primary responsibilities include performing data analysis on large data sets, delivering data-driven insights and recommendations, building reporting solutions to track performance, and partnering across the organization to drive product adoption. You will also support the development of new products and enhance existing solutions by working closely with global product teams and regional leads. An ideal candidate should have strong data analytical skills, an understanding of the payments landscape, strategic thinking to drive insights from the data, and strong storytelling skills to communicate the findings. Role and responsibilities Work closely with global & regional teams to architect, develop, and maintain 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, analyse, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights. 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. Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams. Bring your Passion and Expertise All about you 5+ years of business experience with a proven track record in data analytics, data mining, reporting, data product development, data product management, and/or consulting Financial Institution or Payments experience a plus. Proactive self-starter seeking initiatives to advance. Data architecture experience and experience in building data models a plus. Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud. Exposure to Python, Scala, Spark, Cloud and other related technologies. Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Must be able to interact with management, internal stakeholders and collect requirements. Must be able to perform in a team, use judgment and operate under ambiguity. \\\\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 at least five years of business experience with a proven track record in data analytics, data mining, reporting, data product development, data product management, and/or consulting. Strong SQL skills are necessary, with the ability to write optimized queries for large datasets. Experience with data validation, quality control, and cleansing processes is also required. Familiarity with platforms and environments such as Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, and Cloud is expected.