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 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.
Title and Summary
Data Engineer - Performance Analytics Consultant, Advisors – Performance AnalyticsOverview
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 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.
Consultant, Advisors Client Services, Data & Services
Mastercard Data & Services provides cutting-edge data analysis and services to Fortune 500s, governments, and nonprofits to make multimillion-dollar business decisions and grow their organizations. Our Advisors Client Services team combines traditional management consulting with Mastercard's rich data assets and in-house technologies to provide our clients with powerful strategic insights and recommendations. Mastercard Advisors work with a diverse global customer base across industries, from banking and payments to retail and finance.
The Advisors Client Services group has five specializations: Performance Analytics, Strategy & Transformation, Business Experimentation, Marketing and Project Management. Our Performance Analytics consultants use AI, Machine learning and BI platforms, develop cutting edge insights and products for our clients using Mastercard, customer & 3rd party data assets. Apply qualitative and quantitative techniques on our enterprise applications (e.g., Hadoop, Spark, Kafka, NiFi, Python, Impala, and more) to deliver solutions and products that creates business impact. Get hands-on to design, implement & scale analytical solutions for customers across industries.
Positions for these different specializations and levels are available in separate job postings. Please apply to the position that is best suited to your background and experience.
If you want additional information regarding the different career levels and specializations within Advisors, visit the Advisors Client Services Specializations webpage.
Roles and Responsibilities
Client Impact
• Provide creative input on projects across a range of industries and problem statements
• Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value
• Collaborate with Mastercard team to understand clients' needs, agenda, and risks
• Develop working relationship with client analysts/managers, and act as trusted and reliable partner
Team Collaboration & Culture
• Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients
• Independently identify trends patterns, issues and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings
• Lead internal and client meetings, and contribute to project management
• Contribute to the firm's intellectual capital
• Receive mentorship from performance analytics leaders for professional growth and development
Qualifications
Basic qualifications
• Undergraduate degree with data and analytics experience working on business intelligence and/or descriptive, predictive, or prescriptive analytics projects
• Experience managing clients or internal stakeholders
• Ability to analyze large datasets and synthesize key findings
• Proficiency using data analytics software (e.g., Python, R, SQL, SAS)
• Advanced Word, Excel, and PowerPoint skills
• Able to perform multiple tasks in a fast-paced, deadline-driven environment
• Able to communicate effectively in English and the local office language
• Eligible to work in the country where they are applying and for travel visas as required by travel needs
Preferred qualifications
• Able to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence
• Experience managing tasks or workstreams in a collaborative team environment
• Additional data and analytics experience:
• Building, managing, and maintaining database structures
• Data visualization tools (e.g., Tableau, Power BI)
• Hadoop framework and coding using Impala, Hive, or Psypark
• Able to identify problems, brainstorm and analyze answers, and implement the best solutions
• Relevant industry expertise
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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