“American Express” Openings for Analyst-Data Analytics

Job Role: Analyst-Data Analyst

Eligibility: Graduate

Experience: 0-2 Years

Job Location: Bangalore, Gurgaon

Company Profile:

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Responsibilities:

• Understand the core business of AXP and the levers behind various decisions
• Analyze large amounts of data to derive business insights and create innovative solutions
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution
• Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
• Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.

Skills:

• MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields
• 0-30 months of experience in analytics, big data workstreams
• Ability to drive project deliverables to achieve business results
• Ability to work effectively in a team environment
•  Strong communication and interpersonal skills
•  Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
•  Ability to Integrate with Cross-Functional Business Partners Worldwide
• SAS, R, Python, Hive, Spark, SQL
• Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering

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