American Express Careers

Business Analyst - Merchant Data Science

Bangalore, India
Operations Risk Management

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Job Description

Function Description:
This position will be part of a fast-paced & innovative team within Enterprise Digital and Analytics (EDA). This role is integral part of EDA and supports merchant data attributes enhancements and help building foundational data capabilities to be used across enterprise by developing new algorithms leveraging machine learning techniques. The team applies rigorous, solution-oriented analysis and machine learning techniques.

Purpose of the Role:

The purpose of the role is to help various Business Units serve cusstomer better by enabling more effective marketing, reduce disputes and help GMS (Global Merchant Services) and identify merchant Parity gap.

Responsibilites:
Bolster the impact of advanced algorithm and big data capabilities across the EDA organization (e.g. Enrich GMS Data accuracy leveraging advanced algorithms to drive Amex economics in areas such as industry bonusing, dispute reduction, and small merchant recommendations)
• Lead new initiatives, prepare project plans and other supporting information, and provide project status
Understand different dabases, source systems and match datasets with text terms as key incorporating fuzzy logic.
Extensive case review of customer database to idenify linkage gaps.
• Manage partner expectations including scope, schedule, changes, and problem resolution

Critical Factors to Success:
Attention to details and critical thinking ability
Possess a go-getter attitude
Problem solving ability

Qualifications

Past Experience:
Not mandatory

Academic Background:
Master's degree in Economics, Statistics, Mathematics or related quantitative fields from a top tier institute

Functional Skills/Capabilities:
Strong analytical skills including the ability to think through all aspects of complex business requirements and generate possible courses of action 
• Proficiency & experience in econometric, statistical and machine learning techniques to develop best in class predictive models
• Must possess excellent analytical, relationship management and strong personal presence 
• Must be a self-starter with demonstrated ability to pro-actively and independently drive results 

Technical Skills/Capabilities:

Proficient in python,hive, working knowledge of hadoop architecture & analytical tools

Knowledge of Platforms:
Having exposure to Hadoop platform is a plus

Behavioral Skills/Capabilities:

Enterprise Leadership Behaviors
• Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
• Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
• Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage 
ReqID: 19015332
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Aug 15, 2019, 9:31:55 PM
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