Job Description

Our Purpose

We 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 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 Title

Consultant

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:
\xef\x82\xa7 Work directly with one of the worlds 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.
\xef\x82\xa7 Become familiar with the data warehouse structure to become a key asset in developing and maintaining information products
\xef\x82\xa7 Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals
\xef\x82\xa7 Develop/enhance/maintain routine data processes and flows based on extraction and processing of large volumes of transaction data
\xef\x82\xa7 Create and apply quality control, data validation, and cleansing processes to new and existing data sources
\xef\x82\xa7 Analyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth
\xef\x82\xa7 Translate business requirements into tangible solution specifications and high quality, on time deliverables
\xef\x82\xa7 Develop innovative solutions leveraging new analytical methodologies and tools to reduce costs and improve worldwide product and project delivery
\xef\x82\xa7 Collect 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.
\xef\x82\xa7 Generates key hypotheses and independently structures work at the work stream or project level
\xef\x82\xa7 Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level.
\xef\x82\xa7 Reviews analytics end-products to ensure accuracy, quality and timeliness.
\xef\x82\xa7 Develops effective working relationships with global teams and business partners
\xef\x82\xa7 Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight
\xef\x82\xa7 Incorporate and utilize new technologies and methods to improve efficiencies

Qualification and Skills Required:
\xef\x82\xa7 Good experience in hands-on programming, data mining, data modeling, and report development using large volumes of granular data to deliver analytical solutions
\xef\x82\xa7 High proficiency with SQL and SAS programing skills working in multiple environments including Unix/Linux, Netezza, Oracle
\xef\x82\xa7 Proficiency in scripting/automation (python, shell scripts, etc.)
\xef\x82\xa7 Demonstrated knowledge of data mining and query optimization techniques while working with multiple large granular datasets
\xef\x82\xa7 Experience in detecting and solving data issues with minimal supervision
\xef\x82\xa7 Solid understanding of basic statistical techniques such as regression analysis, time-series, correlation analysis etc.
\xef\x82\xa7 Understanding the financial payments space, with an emphasis on retail spending trends a huge plus
\xef\x82\xa7 Bachelors in Engineering or quantitative discipline with an emphasis on business applications.
\xef\x82\xa7 Familiarity with Big data environment and technologies (pig/hive/impala) a plus

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.

Mastercard