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トレンド企業

トレンド企業

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求人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.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Mastercardについて

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

従業員数

Purchase

本社所在地

$360B

企業価値

レビュー

3.6

10件のレビュー

ワークライフバランス

4.1

報酬

3.4

企業文化

4.0

キャリア

2.3

経営陣

3.2

65%

友人に勧める

良い点

Good benefits and compensation

Collaborative environment and great colleagues

Supportive work-life balance

改善点

Limited career advancement opportunities

Management and leadership issues

Heavy workload and stress

給与レンジ

51件のデータ

Junior/L3

Director

Junior/L3 · Data Engineer

5件のレポート

$137,800

年収総額

基本給

$106,000

ストック

-

ボーナス

-

$107,900

$166,918

面接体験

7件の面接

難易度

3.3

/ 5

期間

14-28週間

内定率

29%

体験

ポジティブ 0%

普通 86%

ネガティブ 14%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience