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Associate Economics Analyst, Global Growth and Operations-2

Mastercard

Associate Economics Analyst, Global Growth and Operations-2

Mastercard

Gurgaon, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Stock options

Health and wellness benefits

401(k) with matching

Learning

Equity

Required Skills

Python

SAP

Excel

About Us

At Mastercard, we're powering economies and empowering people, building ​ a sustainable economy where everyone prospers.

Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech

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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

Associate Economics Analyst, Global Growth and Operations-2

Overview:

The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard's efforts to build a more inclusive and sustainable digital economy

MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers

The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company's product suites

_**_**_**_**_**_About the Role Mastercard's Economics Institute is seeking a talented Economic Analyst with R or Python Programmer skills to join our Global Growth and Operations team. Reporting to the Director, Growth and Operations, this individual will blend advanced economic research with strong programming and data visualization skills.

This is a unique opportunity for someone passionate about applying economic thinking and technical expertise to real-world questions at the intersection of economics, retail, and commerce. The role involves working on large-scale data analytics, developing innovative economic insights, and building compelling visualizations that help communicate these insights to diverse audiences.

Support client and stakeholder engagements across MEICollaborate with team economists, econometricians, developers, visualization experts and industry partners.

Develop and test hypotheses at the intersection of economics, retail, and commerce.

Structure work and manage small project streams, delivering impactful results.

Identify creative analyses and develop proprietary diagnostic indices using large and complex datasets, including macroeconomic and big data sources.

Generate insights, synthesize analyses into impactful storylines and interactive visuals, and help write reports and client presentations.

Enhance existing products and partner with internal stakeholders to develop new economic solutions.

Help create thought leadership and intellectual capital.

Create and format analytical content using Jupyter Notebooks, R Markdown and/or Quarto.

Work with databases and data platforms, including Databricks, SQL and Hadoop.

Write clear, well-documented code that others can understand and maintain.

Collaborate using Git for version control.**_**_**_**_****____

All About You:

Bachelor's degree in Economics (preferred), Statistics, Mathematics, or a related field.

Proficient in working with relational databases and writing SQL queries.

Expertise in working with large-scale data processing frameworks and tools, including Hadoop, Apache Spark, Apache Hive, and Apache Impala.

Proficient in R or Python with experience in data processing packages.

Skilled in creating data visualizations to communicate complex economic insights to diverse audiences.

Experience using data visualization tools such as Tableau or Power BI.

Proficiency in machine learning, econometric and statistical techniques, including predictive modeling, survival analysis, time series modeling, classification, regression and clustering methods is desirable.

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Strong problem-solving skills and critical thinking abilities.

Excellent communication skills, both written and verbal.

Organized and able to prioritize work across multiple projects.

Collaborative team player who can also work independently.

Passionate about data, technology, and creating impactful economic insights.

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.

Client-provided location(s): Gurgaon, India

Job ID: Mastercard-22331_R-256982

Employment Type: OTHER

Posted: 2025-08-29T19:19:07
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Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Pet Insurance
  • Mental Health Benefits
  • Virtual Fitness Classes
  • Health Reimbursement Account

Parental Benefits

  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources
  • On-site/Nearby Childcare
  • Adoption Leave

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Commuter Benefits Program
  • Casual Dress
  • Happy Hours
  • Snacks
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events
  • Some Meals Provided

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence
  • Volunteer Time Off

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling
  • Stock Purchase Program
  • 401(K)
  • Company Equity

Professional Development

  • Tuition Reimbursement
  • Promote From Within
  • Mentor Program
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program
  • Work Visa Sponsorship
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Shadowing Opportunities

Diversity and Inclusion

Employee Resource Groups (ERG)

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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