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 TitleConsultant, Advisors Join 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 data 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: tWork directly with one of the world s largest data warehouses to deliver optimized data extracts, data visualizations, and detailed reports to support consulting engagements, campaign measurement, business intelligence, predictive modeling, and scoring applications. tBecome familiar with the data warehouse structure to become a key asset in developing and maintaining information products tApply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals tDevelop/enhance/maintain routine data processes and flows based on extraction and processing of large volumes of transaction data tCreate and apply quality control, data validation, and cleansing processes to new and existing data sources tAnalyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth tTranslate business requirements into tangible solution specifications and high quality, on time deliverables tDevelop innovative solutions leveraging new analytical methodologies and tools to reduce costs and improve worldwide product and project delivery 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 tSynthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level. 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 oversight tIncorporate and utilize new technologies and methods to improve efficienciesQualification and Skills Required: tGood experience in hands-on programming, data mining, data modeling, and report development using large volumes of granular data to deliver analytical solutions tHigh proficiency with SQL and SAS programing skills working in multiple environments including Unix/Linux, Netezza, Oracle tProficiency in scripting/automation (python, shell scripts, etc.) tDemonstrated knowledge of data mining and query optimization techniques while working with multiple large granular datasets tExperience in detecting and tsolving data issues with minimal supervision tSolid understanding of basic statistical techniques such as regression analysis, time-series, correlation analysis etc. tUnderstanding the financial payments space, with an emphasis on retail spending trends a huge plus tBachelors in Engineering or quantitative discipline with an emphasis on business applications. tFamiliarity with Big data environment and technologies (pig/hive/impala) a plusDue 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 :
center of excellenceequal employment opportunitybig datanew hiresdata miningglobal teamsdata modelingcustomer dataquality controldata validationsas programmingcapital marketsdigital economy