GURUGRAM · FULLTIME
Analyst-Data Analytics
AMERICAN EXPRESS
Gurugram · onsite · Posted 29d ago
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Undisclosed2–7 yrsfulltimeGurugram
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Section · 01
About this role
The AIM (Analytics, Investment & Marketing Enablement) team - a part of GCS Marketing- is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization. The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth.
This Analyst (Band 30) role would be based in Gurgaon, IN and would be focused on driving sentinel Analytics spanning across channels and product offerings from Amex. The incumbent will be responsible for driving innovative analytical solutions and strategies that helps in gaming prevention thereby driving profitable acquisitions for the commercial business. S/he will be challenged with designing and creating world class prospect marketing analytics by leveraging machine learning and advanced methodologies.
A very important focus for the role shall be leveraging data science, quantitatively determining the value, deriving insights, and then assuring the insights are leveraged to create positive impact that cause a meaningful difference to the business.
This Analyst (Band 30) role would be based in Gurgaon, IN and would be focused on driving sentinel Analytics spanning across channels and product offerings from Amex. The incumbent will be responsible for driving innovative analytical solutions and strategies that helps in gaming prevention thereby driving profitable acquisitions for the commercial business. S/he will be challenged with designing and creating world class prospect marketing analytics by leveraging machine learning and advanced methodologies.
A very important focus for the role shall be leveraging data science, quantitatively determining the value, deriving insights, and then assuring the insights are leveraged to create positive impact that cause a meaningful difference to the business.
Minimum Qualifications
- Bachelors in engineering or Master s degree in a quantitative field (e.g., Statistics, Engineering, Physics, Mathematics and Economics) or PhD is required.
- Proficiency & experience in applying cutting edge statistical and machine learning techniques to business problems and leverage external thinking (from academia and/or other industries) to develop best in class data science solutions.
- Strong communication and interpersonal skills, and ability to build and retain strong working relationships.
- Strong analytical/conceptual thinking acumen to solve business problems and articulate key findings to senior leaders/stakeholders in a succinct and concise manner.
- Ability to project-manage effectively, manage several concurrent projects through collaboration across teams/geographies.
Preferred Qualifications
- Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes, with LLM and RAG exposure
- Experience with building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.
- Ability to learn and quickly adapt around ever evolving analytics landscape is preferred.
-Effectively engage and deliver results in a cross-functional collaborative environment, i.e., in partnership with key stakeholders including the functional channel owners, the business partners/end-users of data science solutions and technology partners.
-Explore usage and implementation of data mining techniques, including regression analysis, clustering, and decision trees.
-Explore and integrate emerging AI and GenAI techniques - such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity.
-Exceptional execution skills - be able to resolve issues, identify opportunities, define success metrics, and make things happen.
-Prioritizing efforts to help the team focus on the most impactful opportunities.
-High degree of organization, individual initiative, and personal accountability.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
acquisitionsdigital analyticsclusteringdata miningArticulategamingAnalyticsExpress.jsLarge Language Models (LLMs)Data Analyticsconcurrentbusiness strategymarketingData ScienceArtificial IntelligenceMachine LearningCommunication And Interpersonal Skills
Section · Company
About American Express
AMERICAN EXPRESS
Financial Services
22.8k+
employees
1850
176 years old
Gurgaon / Gurugram, Haryana
India
About
Global payments leader, delivering innovative financial services with $65.9 billion in revenue, empowering consumers and businesses worldwide through trusted products and services.
Industries
Financial ServicesRetailTravel & Tourism / Hospitality
Employee ratings
3,872 reviews
4.1/ 5
Culture
4.1
Career growth
3.3
Work-life
4.1
Employees rate it well for
Work Life Balance518Work Culture500Senior Management332Salary328Career Growth256
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