refresh

热门公司

Trending

招聘

JobsMastercard

Specialist, Product Management

Mastercard

Specialist, Product Management

Mastercard

Gurgaon, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

401(k) matching

Generous paid time off and holidays

Team events and activities

Parental leave

Professional development budget

Comprehensive health, dental, and vision insurance

Parental Leave

Learning

Healthcare

Required Skills

React

TypeScript

Python

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

Specialist, Product Management
The Global Loyalty Products team is a key differentiator for Services team at Mastercard, providing the cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. We combine traditional management consulting with our rich loyalty data assets and in-house technology and data to provide our clients with powerful strategic insights and recommendations. Focussed on data-driven technologies and innovation, these services include consulting for loyalty and marketing, test-and-learn business experimentation, and analytics product development. While specializing in the Loyalty industry, Global Loyalty Products team also works with major retailers, airlines, and other enterprises, leveraging data and insights garnered from within and beyond its network.
We are looking for passionate and talented professionals, who share our vision for data-driven consulting and product development, to join us and take a leading role in shaping the growth of our team.
As a Specialist, you will have the opportunity to actively contribute to client engagements across the regions and types of projects, such as consulting services, test & learn, value story and impact analysis, or building scalable advanced analytics solutions for Loyalty Product clients.
We recruit for and value the following core competencies:

  • Passion: Actively seeks responsibility and takes pride in delivering the highest quality results and recommendations to our clients.
  • Analytic Excellence: Demonstrates a strong aptitude for structured problem solving and quantitative skills.
  • Project Management: Clear interest in project delivery with business clients, and intuition for the way that companies make decisions.
  • Communication and Presence: Excellent written and verbal communication skills in client-facing situations, positioning Mastercard's solutions as high value solutions in sales and delivery conversations.
  • Teamwork: Willingness to work within small teams to produce outstanding deliverables, with a will to win attitude.
  • Integrity: Commitment to Mastercard's values of honesty and integrity with a willingness to embrace and learn from our mistakes.
  • Diverse Perspective: Brings a unique skillset or approach to the table in every client engagement or internal activity.

Qualifications:

  • Undergraduate or master's degree with 2+ years of experience in a data-driven consulting/analytics organization
  • Expertise on one or more of SQL, Python, Big data / Hadoop (Pyspark / Scala Spark / SparkR), HQL, Hive, R
  • Expertise on one or more data visualisation tools like Power

BI and Tableau:

  • Experience with campaign insights, A/B testing, data-driven product development, machine learning models for segmentation, forecasting, regression etc preferred
  • Exceptional analytical and quantitative problem-solving skills and ability to structure analyses to form data-driven solutions to ambiguous client challenges
  • Exposure specifically in payments / retail banking / e Commerce / BFSI merchants / Loyalty / Marketing preferred
  • Ability to communicate complex ideas effectively - both verbally and in writing - in English and the local office language(s)
  • Demonstrated ability to build trust-based relationships with colleagues and clients
  • Ability to multi-task in a fast-paced, deadline-driven environment
  • Advanced Word, Excel, PowerPoint and data analytics skills
  • Candidates must be eligible to work in the country of which they are applying for a position in, as well as eligible to apply for travel visas as required by travel needs

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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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

L4

L5

L6

L7

L8

Director

L4 ·

0 reports

$363,151

total / year

Base

-

Stock

-

Bonus

-

$308,678

$417,624

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