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About the Role
Mastercard's Advisors & Consulting Services team leverages rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. The Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers.
Responsibilities
- Lead client engagements across a range of industries and problem statements
- Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value
- Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness
- Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills
- Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels
- Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital
- Provide on-the-job training, coaching, and mentorship to junior consultants
Requirements
- Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc.
- Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc.
- Experience coaching, leading, and managing technical teams across multiple projects
- Experience managing key client relationships
- Knowledge of business KPIs, financials and organizational leadership
- Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities
- Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations
- Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI)
- Experience building, managing, and maintaining database structures to support analysis
- Advanced Word, Excel, and PowerPoint skills
- Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment
- Ability to communicate effectively in English and the local office language (if applicable)
- Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs
- Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark
- Experience generating new knowledge or creating innovative solutions for a firm
- Relevant industry expertise
- Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models
- 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
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines
Skills
- Data Science
- Analytics
- Machine-Learning
- Clustering
- Data Analysis
- Business Intelligence
- Python
- R
- SQL
- SAS
- Tableau
- Power BI
- Hadoop framework
- Impala
- Hive
- PySpark
- Cloud platforms
- AWS
- Azure
- Google Cloud
- GenAI models
Experience Level
- Managing Consultant
Education Level
- Undergraduate degree in a quantitative field
- Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required)
About the Company
- Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
- Together with our customers, we’re helping build a sustainable economy where everyone can prosper.
- We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible.
- Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.