Analyst, Data Enrichment & Hierarchy

About American Express

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.

Global Merchant & Network Services (GMNS) brings together American Express' merchant-and network-related businesses to enable a sharp focus on using the power of our network to provide unique value to all of our mutual customers. The organization manages the relationships with the millions of merchants around the world that accept American Express and runs the company’s payment network and manages bank partnerships globally.

In support of GMNS’s mission, Global, Strategy, Operations & Processes (GSOP) is focused on delivering a friction free, resilient, and efficient operational core for critical merchant experiences; strengthening monitoring and adherence to network and merchant policies; and leading key operational excellence functions. As part of GSOP, the Merchant Onboarding & Maintenance team prioritizes strengthening governance for merchant account setup, account management, and Know Your Customer (KYC) activities.

This team manages our merchant hierarchy structures, which are used at Amex for merchant account management (including contracting, pricing, offers, client management and data enrichment purposes). Ensuring merchant accounts are correctly linked and managed is essential for Amex systems that rely on a merchant’s hierarchy.

The Merchant Hierarchy team is looking for a highly skilled and motivated Data Analyst, Data Enrichment & Hierarchy to join their team. The ideal candidate will be a data analyst with strong communication skills, a keen analytical mindset, and dedication to turning data into successful hierarchy implementation strategies. They will need to analyze large amounts of data and turn that research into information to help the merchant business be compliant and supportive of customers.

Key Responsibilities

• Be responsible for performing hierarchy reviews across multiple complex merchant portfolios.
• Provide support for the Merchant hierarchy maintenance process within GMNS.
• Establish and enforce data management and governance requirements for Merchant hierarchy initiatives.
• Develop and implement strategies to extract, transform, and analyze information from diverse sources using SQL.
• Construct advanced Excel models and reports to visualize and convey key insights and trends to stakeholders.
• Collaborate with cross-functional teams to identify business requirements, define metrics, and devise data-driven solutions.
• Support CLM (client manager) facing communications and provide training on the hierarchy review process.
• Lead root-cause investigations for hierarchy discrepancies and implement corrective action plans, including tracking remediation status and measuring recurrence to prevent future issues.
• Continuously enhance data processes and workflows to optimize efficiency.
• Use analytical skills for evaluating data across simple and complex business processes, with meticulous attention to detail.
• Be a quick learner and work independently on complex processes through completion.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Statistics, or related field.
• Experience as Data Analyst in a similar role, with strong proficiency in Data Science Libraries, SQL and Excel.
• Demonstrated track record of driving meaningful business value though data management and strategy.
• Proficient understanding of relational databases and data warehousing concepts.
• Ability to make timely and integrity-driven decisions.
• Effective communication and presentation skills for seamless collaboration across internal stakeholders and teams.
• Familiarity with Amex data, particularly in the context of Merchant hierarchies, is preferred.
• Knowledge of LUMI Big query and Python is an advantage.

Key Skills/Competency

• Data Analysis
• SQL
• Excel Modeling
• Data Governance
• Relational Databases
• Data Warehousing
• Problem Solving
• Communication Skills
• Root Cause Analysis
• Process Optimization