American Express Hiring Data Analyst, Salary Upto 5 LPA | Apply Now

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American Express is employing recent graduates for the position of analyst in data analytics. The job description, prerequisites, and more details are provided below.

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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 Hiring Data Analyst Details

Job Role: Analyst – Data Analytics

Company Website: www.americanexpress.com

Degree: Any Graduate

Batch: 2023,2022,2021,2020

Experience: Fresher’s

Salary: 3 – 5 LPA* (Expected)

Location: Bangalore/Gurgaon, India

Last Date: ASAP

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Roles & Responsibilities

  • Manage systems, assist with administrative duties and activities, and enter data.
  • Lead the team and successfully communicate with stakeholders.
  • Make sure every task is completed accurately, completely, and on time.
  • Accountability and ownership for the procedure and task at hand.
  • Time management is the efficient use of working hours along with sensible task prioritisation.
  • Participation and Engagement in Company/Team Projects.
  • Maintains cooperation in pursuit of a shared commercial objective.

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Required Skills & Qualifications

  • It is desirable to have a degree in a quantitative field, such as finance, statistics, economics, mathematics, or engineering.
  • Proactive thinking and potent reasoning.
  • Strong capacity to use data to solve unstructured challenges.
  • Strong process orientation and teamwork skills.
  • Superior analytical skills and meticulous attention to detail; extraordinary motivation and dedication; capacity to operate and prosper in a dynamic, results-oriented setting; and demonstrated proficiency in managing conflicting priorities.
  • Proactive learner who picks up new ideas and skills fast and needs little guidance.
  • Strong background using analytical tools (SQL, Hive, Python, R) is anticipated.
  • Strong written and verbal communication abilities, as well as the capacity to interpret for a range of audiences, both technical and non-technical.
  • Expertise in credit risk management and/or the payments sector is advantageous.

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how to apply for American Express Hiring Data Analyst

Interested and qualified applicants are urged to submit an application before the deadline.

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