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职位Mastercard

Manager, Data Analytics – Product

Mastercard

Manager, Data Analytics – Product

Mastercard

Sao Paulo, Brazil

·

On-site

·

Full-time

·

2w ago

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

Manager, Data Analytics – Product

Mastercard Move, a portfolio of money movement capabilities, enables transfer of funds worldwide over a multi-rail network to a variety of payments modes including bank accounts, e-wallets, cards, and cash. We serve a variety of use cases including remittance, business disbursements, and trade payments.

We are seeking a Product Manager focused on data analytics to drive actionable insights and decision-making in the organization.

This is an individual contributor role, and the main responsibilities will be:

  • Collaborate with cross-functional stakeholders to fulfill their analytical needs
  • Monitor, measure, and report on performance KPIs, distilling into actionable insights to drive decision-making
  • Drive data-based culture across the organization with the use of dashboards and reports
  • Perform end-to-end analysis spanning data extraction, cleaning, visualization, and insight generation
  • Deep dive into findings with partner functions to identify root causes for observed trends

About You:

  • You are proficient in English
  • Bachelor’s degree in Statistics, Mathematics, Economics, or equivalent experience
  • You have 5+ years of experience in product management and analytics, ideally with a focus on payments
  • Advanced data and analytics capabilities, including:
  • Advanced SQL skills, ability to write optimized queries for large data sets
    • Experience creating analytics in Python or equivalent language
    • Strong Excel skills for data manipulation and analysis
    • Experience with data visualization tools such as Tableau, Looker, PowerBI
  • Ability to distill complex concepts and analyses into clear, actionable insights for non-technical stakeholders
  • Experience designing and deploying scalable data pipelines across various tools and ecosystems is a plus
  • Knowledge of cross-border payments is a plus
  • Proven ability to evolve in a complex matrix environment and to operate with complete independence and autonomy
  • You currently live in São Paulo and have availability to attend the office 3-times per week

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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关于Mastercard

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

员工数

Purchase

总部位置

$360B

企业估值

评价

3.6

10条评价

工作生活平衡

4.1

薪酬

3.4

企业文化

4.0

职业发展

2.3

管理层

3.2

65%

推荐给朋友

优点

Good benefits and compensation

Collaborative environment and great colleagues

Supportive work-life balance

缺点

Limited career advancement opportunities

Management and leadership issues

Heavy workload and stress

薪资范围

51个数据点

Junior/L3

Director

Junior/L3 · Data Engineer

5份报告

$137,800

年薪总额

基本工资

$106,000

股票

-

奖金

-

$107,900

$166,918

面试经验

7次面试

难度

3.3

/ 5

时长

14-28周

录用率

29%

体验

正面 0%

中性 86%

负面 14%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience