Job Description
๐Job ID: 26007752
๐ขCompany: American Express
๐Location: Gurugram, Haryana, India ๐
๐ผJob Type: Full-Time ๐ป
๐ขWork Mode: Hybrid ๐ข
โณExperience: 0โ2 Years ๐จโ๐ป
๐Education: Bachelorโs or Masterโs Degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field ๐
๐ฐExpected Salary: โน10 โ โน18 Lakhs Per Year๐ธ
๐Job Category: Data Analytics, Information Technology, Engineering, Data Science, Machine Learning, AI, Big Data, Risk Analytics, Business Analytics ๐
๐Website: Website
๐Contact: Contact us
๐About the Company:
American Express is one of the worldโs leading financial services companies ๐ณ๐, known for delivering premium payment solutions, customer service, analytics-driven decision-making, and innovative financial products.With a strong focus on technology, AI, and data-driven innovation, American Express empowers businesses and customers globally while maintaining industry-leading trust, security, and service excellence ๐
๐กAbout the Role:
American Express is hiring an Analyst โ Data Analytics ๐ for its AIM (Analytics, Investment & Marketing Enablement) team in Gurugram.This role involves working on AI-powered targeting, retention analytics, customer engagement strategies, and data-driven business insights to support growth across Global Commercial Services (GCS).Candidates will collaborate with Marketing, Risk, Sales, and Decision Science teams while building analytical models, automation frameworks, and impactful business solutions ๐
๐Key Responsibilities:
๐ Develop and enhance AI-driven analytical models ๐ค
๐ Build data-driven insights for customer retention and engagement ๐
๐ Collaborate with Marketing, Risk, and Sales teams ๐ค
๐ Create analytical solutions like triggers and prioritization models โ๏ธ
๐ Support business growth through actionable analytics ๐
๐ Work on automation and optimization of analytical frameworks ๐
๐ Apply machine learning and statistical techniques to business problems ๐ง
๐ Present insights and recommendations to business leaders ๐ฌ
๐ Drive innovation and data-backed decision-making ๐
๐ฏRequirements:
๐ฏ 0โ2 years of experience in Analytics or Data Science ๐จโ๐ป
๐ฏ Strong programming skills in Python, PySpark, Scala, Hive, or Big Data technologies ๐ป
๐ฏ Understanding of machine learning and statistical techniques ๐
๐ฏ Knowledge of regression, hypothesis testing, KNN, t-tests, and chi-square tests ๐ง
๐ฏ Ability to work with analytical data products and AI models ๐ค
๐ฏ Strong communication and stakeholder management skills ๐ฌ
๐ฏ Problem-solving and analytical thinking abilities ๐
๐ฏ Ability to work independently and in collaborative environments ๐ค
๐Preferred Skills:
โ
Experience with GenAI and AI-powered analytics ๐ค
โ
Knowledge of Big Data ecosystems and cloud analytics โ๏ธ
โ
Familiarity with commercial/business data analytics ๐
โ
Experience with automation and reporting frameworks โ๏ธ
โ
Strong presentation and business storytelling skills ๐
โ
Ability to work in matrix organizations and fast-paced environments ๐
๐Why Join American Express?
โ
Work with one of the worldโs leading financial services companies ๐
โ
Gain exposure to AI, Machine Learning, and Big Data technologies ๐ค
โ
Competitive salary, bonuses, and comprehensive benefits ๐ธ
โ
Hybrid work flexibility and wellness programs ๐ข
โ
Strong learning, leadership, and career development opportunities ๐
โ
Inclusive and innovation-driven workplace culture ๐ค