American Express Company Hiring For Analyst – Data Science | Apply Now

American Express Company Hiring For Analyst – Data Science | Apply Now

American Express Company Hiring For Analyst – Data Science | Freshers are eligible to apply for the job role and organizing an off campus recruitment drive. Below are the Job description, Eligibility, and Other details.

Job Description :-
Company Name:American Express
Job Role:Analyst – Data Science
Qualification:Bachelor’s/Master’s degree
Experience:Freshers/Experienced
Batch:2020/2021/2022/2023/2024
Location:Gurugram, India
CTC/Salary:INR 6-8 LPA(Expected)

Responsibilities include:

·        Leverage quantitative skills to provide decision support to business teams on key initiatives

·        Assist in developing/enhancing Spend metric predictive modeling that incorporates card member behaviors and increased level of data granularity

·        Planning activities responsibilities including Risks & Opportunities (R&O), Long-Range Plan (LRP) and Annual Plan as it relates to AXP Billed Business

·        Use machine learning techniques to improve forecasts and produce business insights; leverage visualization and reporting tools

·        Understand and adopt emerging technology that can affect the application of the quantitative analytical approaches and technique to solve business problems

·        Provide thought leadership into key findings and actionable recommendations to influence business strategy

·        Deepen trust-based relationships with a variety of stakeholders and levels across the Enterprise, including, but not limited to EFP&A, BU FP&A, LFO teams and business partners

·        Leverage quantitative skills to provide decision support to business teams on Enterprise-wide forecasting for Billed Business, including, but not limited to, model ownership and results analyses

·        Propose and implement solutions to ad-hoc business problems independently, leveraging data and insights to play the role of strategic advisors.

Minimum Qualifications:

  • Bachelor’s / Master’s degree in a quantitative field
  • Proficiency in SQL, Hive, Python, Pyspark, Machine Learning Techniques
  • Highly motivated individual with desire to work on ambiguous projects; with the ability to break down and execute on complex ideas
  • Strong analytical, organizational, and problem-solving skills with good attention to detail
  • Ability to solve ad hoc business problems independently and manage multiple priorities and projects while adhering to deadlines
  • Strong desire and ability to learn

Preferred Qualifications:

  • Solid understanding of card economics
  • Python/R skills strongly preferred 
  • Power BI or other visualization tools experience strongly preferred
  • Statistical/Predictive modeling knowledge and experience strongly preferred

Skills:

-Highly motivated individual with desire to work on ambiguous projects, with the ability to break down and execute on complex ideas.

-Be data-driven, outcome-focused and fast learner.

-Strong analytical, organizational, and problem-solving skills with good attention to detail

-Ability to influence people across all levels of the organization.

-Ability to explain complex mathematical concepts.

-Ability to solve ad-hoc business problems independently and manage multiple priorities and projects while adhering to deadlines.

Shift Timing: 1pm – 9:30pm IST

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • Competitive base salaries 
  • Bonus incentives 
  • Support for financial-well-being and retirement 
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
  • Generous paid parental leave policies (depending on your location) 
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
  • Free and confidential counseling support through our Healthy Minds program 
  • Career development and training opportunities

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