Senior Analyst-Data Analytics
@ American Express

Gurgaon, Haryana, India
$120,000
On Site
Full-time
Posted 10 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXX****** @americanexpress.com
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Job Details

Overview

At American Express, our culture is built on 175 years of innovation and a commitment to our customers, communities, and colleagues. As a Senior Analyst-Data Analytics, your insights drive decision making and strategic marketing partnerships that impact millions globally.

Function Description

Join the Amex Offers team, a digital advertising platform launched in 2012 that connects merchants with American Express Card Members. You will develop strategic marketing partnerships, drive revenue growth, offer adoption, and merchant engagement through actionable insights and data analysis.

Responsibilities

  • Generate insights to drive higher offer redemption.
  • Manage analytical projects for digital offers and marketing strategies.
  • Leverage data to present intelligent, closed-loop insights.
  • Translate unstructured requests into actionable analytical strategies.
  • Collaborate with global stakeholders across multiple business units.

Past Experience and Academic Background

1-2 years of experience in analytics with a background in Statistics, Mathematics, Economics or Engineering. Preferred advanced degree in related fields.

Technical and Functional Skills

  • Technical: Python, SQL, PySpark, Power BI, Advanced Excel, and statistical techniques.
  • Functional: Performance analytics, marketing measurement, and digital analytics.

Employee Benefits

Enjoy competitive base salaries, bonus incentives, comprehensive insurance benefits, flexible working models, and robust career development opportunities.

Key skills/competency

  • Analytics
  • Data
  • Digital
  • Insights
  • Marketing
  • Offers
  • Python
  • SQL
  • Power BI
  • Leadership
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How to Get Hired at American Express

🎯 Tips for Getting Hired

  • Research American Express culture: Understand mission, values, and leadership behaviors.
  • Customize resume: Highlight analytics and digital experience.
  • Showcase technical skills: Emphasize Python, SQL, and Power BI proficiency.
  • Prepare examples: Demonstrate problem solving and global collaboration.

📝 Interview Preparation Advice

Technical Preparation

Practice Python coding and data analysis.
Review SQL query building and optimization.
Study Power BI dashboard creation techniques.
Refresh advanced Excel and statistical methods.

Behavioral Questions

Explain a challenging analytical project effectively.
Discuss decision making under pressure clearly.
Describe global teamwork experiences succinctly.
Highlight instances of innovative problem solving.

Frequently Asked Questions