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

Mastercard

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

Mastercard

Tokyo, Japan

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental leave

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

401(k) matching

Professional development budget

Generous paid time off and holidays

Parental Leave

Equity

Healthcare

Learning

Required Skills

JavaScript

Node.js

PostgreSQL

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 Py Spark.

  • 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.

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About Mastercard

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

Employees

Purchase

Headquarters

$360B

Valuation

Reviews

4.1

15 reviews

Work Life Balance

4.0

Compensation

3.5

Culture

3.5

Career

3.0

Management

3.0

65%

Recommend to a Friend

Pros

Good work-life balance reputation

Competitive compensation packages

Strong benefits and perks

Cons

Recent layoffs and job insecurity

Limited negotiation flexibility on salary

No RSUs for some positions

Salary Ranges

32 data points

Junior/L3

Director

Junior/L3 · Data Engineer

5 reports

$137,800

total / year

Base

$106,000

Stock

-

Bonus

-

$107,900

$166,918

Interview Experience

7 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience