American Express is hiring for the position of Analyst – Data Analytics 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 Analytics |
| Qualifications | Bachelor’s/ Master’s Degree |
| Experience | 0-2 (Yeras) |
| Location | Gurgaon, India (Hybrid) |
Key Responsibilities:
- Develop and enhance AI model precursors in collaboration with Decision Science teams, while partnering with Marketing, Risk, and Sales teams to design customized treatment strategies.
- Serve as a key analytical partner to the Marketing and Measurement teams by delivering insights and reporting for Digital, Field, and Phone programs focused on growth and customer retention.
- Provide actionable analytical solutions, including triggers and prioritization tiers, to support GCS partners and enable Field and Phone Sales teams to prioritize efforts effectively.
- Collaborate with functional leaders, Strategic Business Partners, and senior stakeholders to identify opportunities for improving customer engagement and driving revenue growth.
- Communicate effectively with partners and stakeholders to influence decision-making, foster collaboration, and ensure alignment across teams.
- Demonstrate strong execution skills by resolving issues, identifying business opportunities, defining success metrics, and driving automation and continuous enhancement of analytical frameworks.
- Apply innovative and strategic thinking to challenge existing processes, generate meaningful insights, and identify new opportunities for business success.
- Exhibit strong organizational skills, proactive initiative, and a high level of personal accountability in managing responsibilities and delivering results.
Eligibility Criteria:
- Possess 0–2 years of relevant experience in analytics and data-driven problem-solving.
- Hold a Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or a related discipline.
- Demonstrate strong programming skills with experience in building analytical models and data-driven solutions using technologies such as GenAI, Big Data, PySpark, Hive, Scala, and Python.
- Apply advanced statistical and machine learning techniques to solve business problems and leverage external industry or academic insights to develop innovative data science solutions.
- Exhibit excellent communication and interpersonal skills with the ability to build and maintain strong professional relationships.
- Effectively interact with business leaders across multiple organizational levels and deliver impactful analytical insights and recommendations.
Preferred Skills:
- Possess good knowledge of statistical techniques such as hypothesis testing, regression analysis, KNN, t-test, and chi-square test.
- Demonstrate the ability to work independently and collaboratively within a matrix organization, partnering with decision science, technology, capability teams, and external vendors to deliver solutions efficiently.
- Have experience working with commercial data to generate actionable insights and drive measurable business outcomes.
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.
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