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
Apply Through This Link:- Click Here
Join our Telegram group: Click here
Follow us on Instagram: Click here
Follow us on WhatsApp: Click here