American Express is hiring for the position of Analyst – Data Science in Gurgaon, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | American Express |
| Position | Analyst – Data Science |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2019/ 2020/ 2021/ 2022/ 2023/ 2024 |
| Experience | Freshers/ Experienced |
| Location | Gurgaon, India (Hybrid) |
Key Responsibilities:
- Utilize quantitative skills to provide decision-making support to business teams on critical initiatives.
- Assist in developing and enhancing spend metric predictive models that incorporate card member behaviors and detailed data granularity.
- Manage planning activities, including Risks & Opportunities (R&O), Long-Range Planning (LRP), and Annual Plan development for AXP Billed Business.
- Apply machine learning techniques to improve forecasting accuracy and generate valuable business insights, leveraging visualization and reporting tools.
- Stay informed about emerging technologies and adopt advanced quantitative analytical approaches to address business challenges effectively.
- Provide thought leadership by delivering key findings and actionable recommendations to influence business strategies.
- Build and maintain trust-based relationships with stakeholders across the enterprise, including EFP&A, BU FP&A, LFO teams, and business partners.
- Support enterprise-wide forecasting for Billed Business through quantitative analysis, model ownership, and results evaluation.
- Independently propose and implement solutions to ad-hoc business problems, using data and insights to serve as strategic advisors.
Eligibility Criteria:
- Bachelor’s or Master’s degree in a quantitative field.
- Proficiency in SQL, Hive, Python, PySpark, and machine learning techniques.
- Highly motivated individual with a strong desire to tackle ambiguous projects and the ability to deconstruct and execute complex ideas.
- Excellent analytical, organizational, and problem-solving skills with keen attention to detail.
- Capability to independently solve ad hoc business problems while managing multiple priorities and adhering to deadlines.
- Strong desire and ability to learn new skills and technologies.
Preferred Qualifications:
- Solid understanding of card economics.
- Proficiency in Python or R is strongly preferred.
- Experience with Power BI or other data visualization tools is highly desirable.
- Knowledge and experience in statistical and predictive modeling techniques are strongly preferred.
Skills:
- Highly motivated with a passion for solving ambiguous challenges and breaking down complex ideas into actionable steps.
- Data-driven and outcome-focused with a strong learning aptitude.
- Excellent analytical, organizational, and problem-solving abilities, with a sharp eye for detail.
- Proven ability to influence stakeholders across various organizational levels.
- Ability to effectively explain complex mathematical and statistical concepts.
- Skilled in independently solving business problems and managing multiple priorities and projects within tight deadlines.
About Company:
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
