American Express

Senior Analyst-Data Analytics

In short

This Senior Analyst role sits within American Express Global Commercial Services' Sales Enablement, Pricing & Transformation (SPT) team, supporting the US SME Business Line of Credit (BLOC) organization. The job involves cross-functional work with Sales, Marketing, Product, Finance and Incentive Governance to deliver strategic analyses, lead special projects, and define success metrics and KPIs. It requires 1-3 years of relevant experience, a Bachelor's degree in a quantitative field, and strong proficiency in SQL and Python along with CRM/Salesforce and Microsoft Office Excel skills. The company states it will not sponsor visas for this position.

About the Role
American Express Global Commercial Services (GCS) is the Global leader in the Commercial Payments Solutions space and continues to be an exciting and fast-growing business. To maintain this success, the organization must accelerate sales and drive profitable charge volume growth. The Global Sales Enablement, Pricing & Transformation (SPT) team within GCS is instrumental in ensuring achievement of these objectives. The Manager position within SPT offers you the opportunity to be part of this dynamic organization and help GCS navigate towards growth.
This position reports to the director SPT, US SME Business Line of Credit (BLOC), focused on supporting the three sub-teams within BLOC. This role will work collaboratively with Sales, Marketing, Product, Finance and Incentive Governance to provide strategic analyses, insights, sales performance, and thought leadership to support the BLOC organization across multiple locations. The Senior Analyst will work cross-functionally to lead special projects, daily run the business efforts, and strategic efforts from conception to rollout ensuring balance between business growth and colleague experience. This role is also responsible for defining success metrics, ensuring key performance indicators are reportable to track real-time business impact.
Requirements
•Strong Analytical Skills: Apply analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions; have outstanding knowledge of Python and SQL encompassing data manipulation and statistical modeling/data-mining techniques
•Superb Communicator: Ability to drive alignment among customers and key partners; ability to write compelling messages addressed to various audiences/levels within the organization
•Strategic Mentality: Self-motivated individual who can problem-solve and think critically, to develop concrete insights backed by data and analytics; find opportunities to strengthen business performance
•Results Driven: High level of accountability and ability to address ambiguous challenges; adaptable to evolving priorities and rapid change
•Out of the Box Thinking: Challenge status quo, innovate, and harbor strong curiosity
•Multi-Disciplinary Leadership: Ability to lead multiple and sophisticated work streams, and to work across departmental boundaries and deliver a diverse set of initiatives that result in impactful outcomes
•1-3 years of relevant work experience
•Bachelor's Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Data Analytics, Engineering)
•Proficiency in SQL and Python is a must
•Proficiency in analytical tools
•Experience in Big Data environment, inclusive of data mining techniques. Hands-on analytics experience and understanding of data processing. Ability to address performance issues and to manipulate both structured and unstructured data
•Proficiency in CRM tools, Salesforce, or statistical software programs
•Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing)
•Proven track record of independently developing novel analytical solutions optimizing business processes
•Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal skills
•Ability to deliver results, work independently, and prioritize tasks
•Self-starter who thrives in an evolving, dynamic environment
Preferred Qualifications:
•Master's Degree in a quantitative discipline
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

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