Senior Analyst - Data Analytics Job at American Express, New York, NY

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  • American Express
  • New York, NY

Job Description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

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.

Join Team Amex and let's lead the way together.

Unleash your analytical skills to define the future of how we serve our customers.

The Performance & Insights team, within Sales Enablement, Pricing & Transformation (SPT), is the business analysis and business decisioning arm of Global Commercial Services (GCS) responsible for studying business performance and uncovering insights that drive GCS growth.

The analyst will work very closely with several cross-functional partners including US SME Tele Sales LT, US SME Marketing, Finance, Risk and other key partners. S(he) will be a key subject matter expert for the business teams in ensuring the broader organization’s ability to achieve success both strategically and tactically. Specifically, this role will be focused on optimizing our Tele Sales and Digital Sales Team strategies in US SME.

The ideal candidate will coordinate across key partners within US SME to ensure there is alignment and collaboration on strategic priorities. S(he) will possess analytical proficiency, intellectual curiosity, a proactive nature, and high attention to detail.

How will you make an impact in this role?

Strong Analytical Skills: Apply analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions; Have outstanding knowledge of Hive 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

Minimum Qualifications

1+ 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 other analytical tools

Ability to extract and organize complex datasets

Ability to address performance issues and to manipulate both structured and unstructured data

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, and keen to solve ambiguous / open-ended business challenges

Preferred Qualifications

2+ years of relevant work experience

Proficiency in Python and Tableau is a plus

Masters Degree preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Data Analytics, Engineering)

Ability to present to senior leadership or senior stakeholders

American Express

Job Tags

Work experience placement,

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