Job Details
- Company: American Express
- Job Position: Analyst – Data Analytics
- Location: Gurugram, Haryana, India
- Qualification: Bachelor’s Degree, preferably in Economics, Finance, Accounting, Statistics, Artificial Intelligence, Data Analytics, Engineering, or a related quantitative field
- Experience: Not specified in the job description
- Employment Type: Full-Time
- Work Mode: Hybrid
- Salary: Estimated ₹8 LPA – ₹16 LPA
- Job Category: Data Management and Analytics
- Job ID: 26014380
- Job Shift: Evening
- Application Deadline: 14 October 2026
Job Overview
American Express is hiring an Analyst – Data Analytics for its Global Commercial Services team in Gurugram. The role focuses on developing automation solutions for operational processes across US small and medium-sized business channels. The selected candidate will use Python, SQL, and analytical tools to identify business trends, improve operational efficiency, and support data-driven decisions. The position also involves working with multiple teams, validating automated solutions, and applying statistical analysis and machine learning techniques. Candidates with strong programming, data analytics, and problem-solving skills can consider this opportunity.
Key Responsibilities
- Design and implement automation solutions for operational processes across US SME channels.
- Collaborate with sales, technology, marketing, analytics, and operations teams.
- Use Python and SQL to analyse and manipulate business data.
- Apply statistical modelling and data-mining techniques to solve business problems.
- Identify operational gaps and recommend improvements.
- Develop, validate, and implement automated solutions with minimal manual intervention.
- Analyse business trends, risks, and opportunities to support decision-making.
- Improve existing processes by identifying inefficiencies.
- Work with stakeholders to ensure successful implementation of automation projects.
- Support data processing and machine learning activities.
- Validate analytical models and assess their performance.
- Work with structured and unstructured datasets.
- Identify and resolve performance issues in data processing workflows.
- Guide contractors and apprentices in daily operational activities.
- Promote innovation and continuously explore opportunities to improve business processes.
Why Join American Express?
- Work with a globally recognised financial services company.
- Gain experience in data analytics and business process automation.
- Develop advanced skills in Python, SQL, and big data technologies.
- Work with machine learning and statistical modelling techniques.
- Collaborate with sales, marketing, technology, and analytics professionals.
- Receive opportunities for professional training and career development.
- Benefit from performance-based bonuses and competitive compensation.
- Access health, financial well-being, and retirement benefits.
- Enjoy a flexible hybrid working arrangement.
- Contribute to business growth through data-driven decisions and automation.
Important Links
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