At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.

These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more.

For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

Global Infrastructure Product Services aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency.

A successful Data Analyst knows that delivering on that promise takes foresight, planning and agility. We are seeking Data Analysts who are not only technically adept, but also understand the importance of harnessing the power of data to streamline financial operations, enhance decision-making and improve business outcomes.

This role is focused on collaborating closely with cross-functional teams to analyze complex datasets, extract actionable insights and drive strategic decision-making to support our business objectives.

Let’s Build On What You Know.

If you are a highly motivated and experienced data analyst looking to make significant impact in a dynamic environment, and you have proficiency and experience with analyzing and visualizing data, extracting actionable insights and uncovering trends, let’s find business advantages hiding in plain sight. Here’s just some of what you’ll do:

• Collaborate with stakeholders across the organization to understand functional requirements and translate them into actionable data analysis tasks
• Collect, clean and manipulate data from multiple sources to prepare it for analysis, ensuring accuracy and completeness
• Perform exploratory data analysis to uncover trends, patterns and correlations, and provide valuable insights
• Develop and maintain dashboards, reports and visualizations to communicate key findings and insights to stakeholders to enable data-driven decision-making
• Assist with the development and implementation of predictive models and analytical methodologies to forecast infrastructure resource needs and support proactive planning efforts
• Support ad-hoc analysis requests and special projects as needed, demonstrating flexibility and adaptability with addressing evolving business needs
• Stay updated on industry trends and best practices in data analysis and strategic analytics, and actively contribute to the continuous improvement of our analytical capabilities.

Are you up for the challenge? Here’s what you should have:

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related discipline is a plus
• 2+ years of experience in a data analysis role, with a proven ability to manipulate and analyze large datasets
• Proficiency in data manipulation and analysis using SQL, Python, R or the equivalent; knowledge of SAS is a plus but not required.
• Experience with data visualization tools (Tableau, PowerBI, matplotlib, etc.), with strong ability to communicate complex findings effectively
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders across different functions and levels of the organization
• Proficiency with KPI and metric design
• Thorough understanding of enterprise infrastructure technologies such as Compute, Storage, Network, Mainframe to inform model development and adjustments is a plus
• Strong analytical and problem-solving skills, coupled with a keen attention to detail and the ability to uncover insights from data
• Proven ability to work independently as well as collaboratively in a fast-paced and dynamic environment, with a passion for learning and professional growth