American Express Recruitment For Data Analyst | Apply Now

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Applications are being accepted for the position of Analyst – Data Analytics at American Express’s hybrid/work-from-home location in Gurgaon, Haryana, India. The following contains all of the information regarding American Express Recruitment.

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About American Express

The American Express Company (Amex) is a global financial services business and bank holding company based in the United States that specialises in payment cards. Its headquarters are located in Lower Manhattan’s Battery Park City neighbourhood at 200 Vesey Street, popularly referred to as the American Express Tower. The main classification scheme for AMEX cards is Green, Gold, Platinum, and Black (Centurion), where a higher rank corresponds to a greater priority level.

American Express Recruitment For Data Analyst Details

Job Role: Analyst – Data Analytics

Company Website: www.americanexpress.com

Degree: Degree in business, economics, statistics, mathematics, engineering or finance combined with a master’s or other secondary professional qualification.

Batch: Recent Batches

Experience: 0-3 Years

Salary: As per Company Standards

Location: Gurgaon, Haryana, India (Hybrid/Work From Home)

Last Date: ASAP

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Roles & Responsibilities

  • Conduct comprehensive data analysis to comprehend customer and acquisition dynamics and obtain practical insights to boost revenue for US consumer businesses.
  • Analyse how various projects and strategies will affect the company and provide insights and recommendations.
  • Keep a close eye on the acquisitions’ and customers’ channels’ behavioural performance, and pinpoint the causes of any patterns.
  • Assist the Product, Finance, and Marketing departments in organising and prioritising different projects.
  • To further advance our analytical procedures, we must always deepen and expand our understanding of analytical techniques and instruments.
  • Handling common performance measures for marketing, like ROI, cost per acquisition, efficiency yield, etc.

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Required Skills & Qualifications

  • 3–6 years of experience in relevant analytics.
  • A master’s degree or another secondary professional certification paired with a degree in business, economics, statistics, mathematics, engineering, or finance.
  • Strong ability to analyse and solve problems.
  • Strong performer who is self-motivated.
  • Strong communication skills—both written and verbal—with others.
  • Familiarity in programming languages such as Python, SAS, SQL, Hive, etc.
  • Adapt with Microsoft Office, particularly with PowerPoint and Excel.

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