American Express Recruitment 2023 | Analyst – Data Science | Apply Now

 American Express

American Express Recruitment 2023 for Analyst – Data Science. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.

About American Express

American Express, often referred to as Amex, is a renowned financial services corporation headquartered in New York City. Established in 1850, it has a rich history of providing a wide range of financial products and services to its customers, including credit cards, charge cards, traveler’s checks, and various banking solutions. What sets American Express apart is its focus on premium customer service and its iconic membership rewards program, which offers cardholders a plethora of benefits and perks. With a global presence and a reputation for financial stability, American Express continues to be a trusted partner for individuals and businesses alike, offering them the convenience and security they need in an ever-evolving financial landscape.

American Express Recruitment 2023

Company name American Express
Job Role Analyst – Data Science
Work Location Gurgaon, Haryana, India
Job Type Full Time
Experience Entry Level
Qualification Bachelor’s degree in Engineering, Computer Science, Statistics, Econometrics, Mathematics, Operations Research.
Batch Not Mentioned
Package 10 – 15 LPA(Expected)

Job Description

American Express – Analyst (Data Science): Responsibilities

  1. Collaborate with product owners to comprehend business priorities and client needs, delivering scalable products in a consultative manner.
  2. Utilize expertise in insights generation and tools such as MS Power Platform, HIVE, Python, SQL, and VBA to prototype new solutions iteratively.
  3. Enhance existing insights tools by understanding client usage and offering design recommendations to the Insights Product Management team.
  4. Enable data-driven actionable insights for field and clients to drive growth and retention.
  5. Conduct prototyping of insights products and services based on client requirements.
  6. Create additional revenue streams by monetizing insights products.
  7. Conceptualize and develop client-facing insights solutions.
  8. Strengthen solution algorithms through internal and external research to position them as industry-leading products for American Express.
  9. Align the role’s agenda with enterprise priorities, balancing customer requirements, partnerships, colleagues, and shareholder interests.
  10. Challenge the status quo, bring continuous innovation to existing offerings, and lead with an external perspective.
  11. Demonstrate learning agility, make decisions promptly with the highest level of integrity.
  12. Drive a process excellence framework for process automation and enhance individual and group productivity.


  1. Bachelor’s degree in Engineering, Computer Science, Statistics, Econometrics, Mathematics, or Operations Research.
  2. Hands-on experience in Data Analytics or other data handling tools (SQL/SAS/Hive/Python/MS Power Platform).
  3. Proficiency in Microsoft Power Platform, including Power Apps (Canvas and Model Driven apps) and Power Automate.
  4. Deep understanding of machine learning/statistical algorithms (e.g., deep learning and forecasting), with experience in data visualization considered a plus.
  5. Ability to translate KPIs into practical and insightful information.
  6. Experience in large data processing and handling, with a strong understanding of data science as an advantage.
  7. Strong communication skills to convey complex algorithms and results in simple terms.
  8. Exceptional execution skills, capable of issue resolution, opportunity identification, defining success metrics, and delivering results.
  9. Eagerness to find solutions to complex problems.
  10. Ability to thrive in a dynamic, cross-functional environment with a keen attention to detail.
  11. Exceptional strategic and analytical thinking with Project Management experience.

How to Apply?

  • To apply for a job, read through all information provided on the job listing page carefully.
  • Look for the apply link on the job listing page, usually located somewhere on the page.
  • Clicking on the apply link will take you to the company’s application portal.
  • Enter your personal details and any other information requested by the company in the application portal.
  • Pay close attention to the instructions provided and fill out all necessary fields accurately and completely.
  • Double-check all the information provided before submitting the application.
  • Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
  • Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.

Apply Link

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