Product Data Analyst
@ Mastercard

Ramat Gan, Tel Aviv District, Israel
$120,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX****** @mastercard.com
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Job Details

Our Purpose

Mastercard powers economies and empowers people in 200+ countries. We support secure, simple, smart and accessible digital payments and deliver products that help people, businesses, and governments realize their potential.

Title And Summary

Product Data Analyst (10 months replacement for maternity leave)

Overview

This is a 10-month temporary contract. We’re looking for a Product Data Analyst to join the team at Dynamic Yield by Mastercard and play a critical role in shaping our product through data-driven insights. You will collaborate closely with product managers, engineers, designers, Customer Success teams, and other cross-functional stakeholders.

Role

  • Define and refine KPIs with product managers.
  • Collect business requirements and design data models.
  • Analyze user behavior and product usage patterns.
  • Build and maintain dashboards and reports.
  • Develop and maintain data models and ELT pipelines.
  • Monitor KPIs and drive efficiency improvements.

All About You

  • 2+ years of experience as a Product/Data Analyst.
  • Advanced SQL skills and proficiency with BI tools such as Tableau, Looker, or Power BI.
  • Experience with product analytics tools and event-based tracking.
  • Solid understanding of A/B testing frameworks.
  • Excellent communication and storytelling skills.
  • Experience with Python and DBT is a plus.

Corporate Security Responsibility

Every employee must abide by Mastercard’s security policies, ensure data confidentiality and integrity, report any suspected breaches, and complete mandatory security trainings.

Key skills/competency

  • SQL
  • Tableau
  • Data Analysis
  • BI Tools
  • Data Modeling
  • ELT Pipelines
  • A/B Testing
  • Python
  • DBT
  • Communication
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How to Get Hired at Mastercard

🎯 Tips for Getting Hired

  • Research Mastercard's culture: Study their mission and global impact.
  • Customize your resume: Highlight SQL, BI, and analytics experience.
  • Prepare for technical interviews: Practice SQL queries and data modeling.
  • Showcase collaboration skills: Emphasize teamwork and product impact.

📝 Interview Preparation Advice

Technical Preparation

Review advanced SQL queries.
Practice BI dashboard building.
Study data modeling techniques.
Familiarize with ELT pipeline tools.

Behavioral Questions

Describe teamwork in previous projects.
Explain data-driven decision examples.
Discuss handling tight deadlines.
Share experience with cross-functional collaboration.

Frequently Asked Questions