Senior Analyst, Data Engineer

Our Purpose We strive to connect and empower 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 aid individuals, financial institutions, governments, and businesses in realizing their maximum potential. Our decency quotient, or DQ, fuels our culture and everything we undertake both within and outside our company. We foster a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enrich us as a team - one that makes better decisions, inspires innovation, and leads to superior business outcomes. Title and Summary Senior Analyst, Data Engineer Overview: MasterCard Advisors is shaping the future of data insights by utilizing billions of anonymized, aggregated transactions in a 10 petabyte data warehouse to assist financial institutions, merchants, media, and governments in managing their businesses more effectively. Advanced Analytics is responsible for delivering client services by concentrating and improving Mastercard Advisors' world-class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities. This role involves using broad knowledge from Banking, Retail, Travel, Technology, Digital, media, and/or payments industry and deep understanding of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base. The Mastercard Economics Institute is committed to promoting macroeconomic thought leadership to support Mastercard's efforts to cultivate a more inclusive and sustainable digital economy. The Economics Institute, established in 2020, analyzes macroeconomic trends through a consumer lens, providing tailored, actionable insights on economic issues for pivotal customers, partners, and policymakers. The institute engages in producing thematic research on global and regional macroeconomic trends, consumer spending, risk, small businesses, policy, digital, and travel. The institute comprises a team of economists and data scientists who leverage and integrate data sets from within Mastercard and beyond to bring powerful insights to life. The institute actively contributes to global thought leadership through bespoke presentations, participation in key industry forums, and the creation of thematic papers, arranging events, and media involvement. Role We're looking for a full-stack back-end data engineer with at least 5-6 years of work experience to join MasterCard’s Economics Institute. The team member would play a crucial part in shaping the Economics Institute's engineering discipline, contributing significantly to the overall success and value of the team's products, reports, and outputs. Key skills include strong proficiency in big Data Architecture & technologies, understanding data processing and storage concepts, the ability to design scalable and efficient data architectures, ownership of continuous integration/continuous deployment of automated pipelines, and attention to design and user experience. Familiarity with low-level languages, advanced R, and Quarto languages (R, Python, Julia, Observable.js) would be a plus. All About You Design data models that define the structure, bonds, and constraints of data entities. Establish data integration, guaranteeing consistency and quality across different sources and systems. Collaborate with stakeholders to develop a data strategy that aligns with business objectives and needs. Implement data governance policies, standards, and guidelines to ensure data security, quality, and compliance. Design data systems capable of managing growing volumes of data while maintaining performance. Manage metadata (data about data) to provide context and clarity about data sources, definitions, and lineage. Exceptional at handling multiple projects and tight deadlines. Track record of creativity, innovation, and unconventional thinking. Comfortable working with engineers, product owners, data scientists, and economists. Comfortable working in a fast-paced and fluid environment, and able to stay calm under pressure. Corporate Security Responsibility Every task involving access to Mastercard's assets, information, and networks carries an inherent risk to the organization. Therefore, every person working for, or on behalf of, Mastercard is responsible for information security and must: 1. Abide by Mastercard's security policies and practices. 2. Ensure the confidentiality and integrity of the information being accessed. 3. Report any suspected violation of information security or breach. 4. Complete all occasional compulsory security trainings as per Mastercard's guidelines.