Source description
About the role
Analyst-Data Analytics(Incentive Tool,SQL,AI)
Gurugram, HR, India
Apply Now
Job Description
Colleague Experience Group
Provide a great colleague experience every day. Obsess over understanding the colleague experience at a deeper level to co-create simple and great ways of working that enable everyone to be and deliver their best. Responsible for people management, including acquiring talent, developing and retaining colleagues worldwide, and overseeing key programs like compensation, benefits, diversity and colleague and labor relations.
Responsibilities
-
Key Responsibilities
-
Ensure timely and accurate monthly/quarterly incentive calculation for Global servicing colleagues
-
Ensure monthly incentives are calculated basis the defined policy guidelines.
-
Run incentive calculation model, perform high quality due diligence on the payments for the given portfolio/s
-
Conceptualize, Design & Develop Dashboards via Excel Automation, Multi layered Excel equations, Charts, Pivots etc
-
Ensure strict adherence of control and compliance and related policies
-
Work with quality assurance managers to coordinate system and user acceptance testing activity
-
Individual must be able to operate independently and must have a go getter attitude.
-
Individual would be responsible for validating / supporting Team Lead in ensuring adherence to guidelines across team.
-
Ability to implement logical mindset by converting Business language to logical workflow.
-
Support all internal & external incentive-based audits for the markets under scope.
-
Partner with multiple teams including, but not restricted to, Incentive Design & Governance, Operational Performance Management, Incentive Plus Teams to identify and implement opportunities that further enhance the effectiveness Incentive programs, ensuring alignment with evolving business strategic priorities.
-
Strong communication skills, both written and verbal is mandatory.
-
Identify opportunities to automate manual operational processes using Python, SQL, Generative AI and workflow automation tools.
-
Design and develop AI-powered solutions leveraging Large Language Models (LLMs) for reporting, documentation, knowledge management, and business process optimization.
-
Develop intelligent dashboards integrating business data with AI-generated insights.
-
Partner with business stakeholders to identify high-impact AI use cases and implement scalable solutions.
-
Create prompts, AI agents, and copilots to improve operational productivity.
-
Evaluate emerging AI technologies and recommend innovative solutions aligned with business priorities.
-
Ensure responsible AI practices, data privacy, and governance while implementing GenAI solutions.
Qualifications
- 2- 5 years of experience in the compensation process and business rules (ramifications of exceptions), handling large scale complex business process, Proven ability to align data needs to business strategies.
Key Skills
-
Bachelor’s degree or equivalent combination of education and work experience.
-
Outstanding written & verbal communication skills in English.
-
Excel Automation, Multi layered Excel equations, Charts, Pivots etc.
-
Analytical and problem-solving skills with strength in accuracy & attention to detail in a high output & speed environment.
-
Reporting tools utilization to create/generate/maintain simple/complex reports.
-
Experience with Generative AI platforms such as ChatGPT, Azure OpenAI, Microsoft Copilot, Gemini, Claude or equivalent enterprise AI platforms.
-
Working knowledge of Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation (RAG), AI Agents and AI-assisted workflows.
-
Strong SQL skills for querying and manipulating enterprise datasets.
-
Experience using Power BI or Tableau for dashboard development.
-
Experience with APIs and automation frameworks is desirable.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- 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
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
Job Info
- Job Identification26010677
- Job CategoryData Mgmt and Analytics
- Posting Date07/13/2026, 01:04 AM
- Apply Before07/19/2026, 02:30 PM
- Degree LevelBachelor's Degree
- Job ScheduleFull time
- Job ShiftDay
- LocationsAMEX Sub Tehsil Kadipur, Gurugram, HR, 122004, IN
- Career AreaCorporate Functions
EXPERIENCE THE POWERFUL BACKING OF AMERICAN EXPRESS.
American English
-
Deutsch
-
American English
-
Español
-
Français
-
Italiano
-
日本語
Our Use of Cookies
American Express uses cookies on this Jobs website, and the associated Jobs Application webpages, to ensure its proper performance and security and to provide you with the services you have requested (strictly necessary cookies). We also wish to use cookies to remember your preferences, understand how you use this website and enable us and our third-party partners to provide you with online recruitment opportunities ( functional cookies, analytical and performance cookies, and marketing cookies). By clicking “Accept All”, you consent to the use of cookies by us and our partners for the purposes set out in our Cookie Policy. By clicking “Reject All”, only strictly necessary cookies will be placed. You can manage your preferences by clicking 'Manage Preferences' below. For more information on how we use cookies, or to change your cookie preferences at any time, please see our Cookie Policy.
Note: Cookies choices made on this website are specific only to the American Express Jobs and Job Application webpages.
A list of American Express entities using cookies on this website is set out in our Cookie Policy.
Accept AllReject All
Manage Preferences
Are You Still With Us?
It seems you've been gone for a while. For security reasons we will end your session automatically in 03:00 unless you would like to continue working.
End SessionContinue Working
Work Summary
This summary is generated by AI Assist. Click inside the summary text box to make changes as necessary.
DiscardAdd Summary
Page Analyst-Data Analytics(Incentive Tool,SQL,AI) - American Express Careers loaded
More at American Express
Related open roles
Director - Data Science
SG
Analyst-Data Science
Delhi NCR · Hybrid
Senior Data Engineer II - Enterprise Data Platforms and Data Management - Enterprise Data & AI
Phoenix · Hybrid
Director, Data Analytics
New York · Hybrid
Manager - Program Management - Enterprise Data Platforms
Phoenix · Hybrid
Senior Analyst - Data Analytics
India · Hybrid