Associate Program Manager - Loyalty Analytics

Job Description

Our PurposeWe work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team one that makes better decisions, drives innovation and delivers better business results.Job TitleAssociate Program Manager - Loyalty Analytics Associate Program ManagerOverviewMastercard is a global technology company behind the world s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless . We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.Loyalty Services organization has many key objectives such as Merchant offer sourcing, Improving quality of operations for external and internal customers and creating next gen platforms to deliver automated, scalable, self-service advertising solutions through an eco-system of distribution channels. tAre you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients tHave you managed the client independently and effectively tDo you want to play a key role in driving a world beyond cash Role1.tWork in the loyalty analytics team to provide custom, standard & scalable marketing solutions for Rewards, Benefits & Awareness and Card Linked & Travel Offers 2.tResponsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes3.tUsing unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models4.tDetermine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value5.tInfluences a clients strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems6.tWorks closely with clients/internal stakeholders to understand their business needs and design business and technical solutionsAll About You1.tBachelor s Degree in Engineering or in any other quantitative discipline with an emphasis on analytics, Masters / Advanced Degree in similar disciplines preferred2.tPrevious financial services or consulting or econometric experience including data mining using large volumes of granular data to deliver analytical solutions 3.tSelf-driven, energetic, creative with ability to work in global teams & possess Excellent communication skills4.tAdaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business5.tCurious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest tools, techniques and applications6.tTenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks7.tRelevant experience in statistical tools and programming environments like Python, R, SAS, SQL8.tExperience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters will be a plus9.tAbility to multi-task as well as work on multiple projects concurrently.COVID-19 Considerations We value the safety of each member of our community because we know we re all in this together. In many locations, which may change over time, we ve implemented a virtual hiring process and continue to interview candidates by video or phone. In addition, in some locations, only individuals who have been fully vaccinated will be permitted inside Mastercard offices until further notice.About MastercardMastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.If you require accommodations or assistance to complete the online application process, please contact reasonable_accommodationmastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.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 Mastercard s 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 Mastercard s guidelines.
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Keyskills :
salesnetcustomer relationsdata managementdocumentationequal employment opportunitybig datadata miningglobal teamsdeep learningdigital economyanalytical skillsfinancial systems