Consultant, Advisors & Consulting Services, Performance Analytics & Business Experimentation

Posted Yesterday
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Tokyo
Hybrid
Junior
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
This role focuses on providing analytical solutions for clients, developing data-driven strategies and collaborating with teams to enhance client services across various industries.
Summary Generated by Built In
Our Purpose
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.
Title and Summary
Consultant, Advisors & Consulting Services, Performance Analytics & Business Experimentation
Advisors & Consulting Services
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. We work with a diverse global customer base across industries, from banking and payments to retail and restaurants.
The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. This role spans Performance Analytics and Business Experimentation, enabling candidates to leverage data and experimentation to drive client impact.
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 experimentation programs for regional and global clients by leveraging data science tools and technology solutions (including Mastercard's Test & Learn® platform).
Collaborate with Mastercard teams to understand clients' needs, agenda, and risks.
- Develop strong working relationships with client analysts/managers and act as a trusted partner.
- Provide analytical and technical subject matter guidance and drive client success through adoption of data-driven solutions.
Team Collaboration & Culture
- Collaborate with senior consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients.
- Independently identify trends, patterns, and issues in defined areas of analysis, and synthesize findings into actionable insights.
- Lead internal and client meetings and contribute to project management.
Contribute to the firm's intellectual capital.
- Receive mentorship from consulting leaders for professional growth and development.
Qualifications
Basic Qualifications
- Undergraduate degree with experience in data analytics, data science, consulting, or technology.
- Strong analytical skills with ability to work with large datasets and synthesize key findings.
- Proficiency in data analytics tools (e.g., Python, R, SQL, SAS) and/or experience with experimentation platforms (e.g., Test & Learn®).
- Advanced Word, Excel, and PowerPoint skills.
- Ability to manage multiple tasks in a fast-paced, deadline-driven environment.
- Excellent communication skills in English and local office language (if applicable).
- Eligibility to work in the country of application and ability to travel as required.
Preferred Qualifications
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with database management, Hadoop frameworks, or coding using Impala, Hive, or PySpark.
- Experience in time series analysis, segmentation, or predictive modeling.
- Ability to identify problems, brainstorm solutions, and implement best practices.
- 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.

Top Skills

Hadoop
Hive
Impala
Power BI
Pyspark
Python
R
SAS
SQL
Tableau
Test & Learn
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The Company
HQ: Purchase, NY
35,300 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

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About our Teams

Mastercard Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.

Typical time on-site: 3 days a week
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