Associate Managing Consultant, Advisors

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 Managing Consultant, Advisors Trainee Advanced AnalyticsJoin the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Be part of an Analytics Center of Excellence that is developing consumer insights that are reshaping how businesses make decisions.Advanced Analytics is charged with servicing Consulting Services, Information Services and Managed Services 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.Use broad retail, capital markets, media, and/or payments industry experience and deep knowledge 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.Major Responsibilities: tRigorously and logically identify issues covering entire client problem to understand business objectives tGenerate key hypotheses and independently structures work at the stream or small project level tIdentify creative and useful additional analyses required and suggest new paradigms for recommendations tCreate effective, impactful and quality assured storylines and slides at stream or small project level tAnalyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth tSynthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level. tApply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals tSet the department standard for data driven insights and advanced analytics solutions using tools such as SAS, SQL and MS office suite tCollect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions. tGenerates key hypotheses and independently structures work at the work stream or project level tBuild behavioral scorecards for target marketing and risk management solutions using econometric and statistical modeling techniques tCreate highly predictive models using segmentation and regression techniques to drive profits tReviews analytics end-products to ensure accuracy, quality and timeliness. tDevelops effective working relationships with global teams and business partners tProactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversightQualification and Skills Required: tAdvanced degree in Economics/Statistics/Mathematics or B.E. in a technical or quantitative discipline before M.B.A from Tier 1 Business Schools in India. tAcumen of business analysis, segmentation and modeling, data mining using large volumes of granular data to deliver analytical solutions tExcellent verbal and written communication skills tExcellent analytical skills tAbility to work on a team or independently tAbility to multi-task in a fast-paced, deadline-driven environment tAdvanced Word, Excel and PowerPoint skills tAttention to detail tPlatforms/Environments: Unix, SAS, SQL, Netezza, VBA, Microsoft BI StackLanguages: tEnglish required tAdditional languages desiredDue to COVID-19, most of our employees are working from home. We ve implemented a virtual hiring process and continue to interview candidates by phone or video and are onboarding new hires remotely. We value the safety of each member of our community because we know we re all in this together.Mastercard 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 ResponsibilityEvery person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position 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.,

Keyskills :
j2eenetcobolcenter of excellenceequal employment opportunitybig datams officenew hiresdata miningglobal teamscustomer datarisk managementcapital marketsdigital economycnet