Analyst-Data Science

American Express • Phoenix, AZ

18h

About The Position

The Colleague Services (CS) organization within American Express’s Colleague Experience Group (CEG), also known as Human Resources, provides services, capabilities, data, and insights to support a strong colleague experience. CS manages CEG products, processes, platforms, applications, third-party partners, colleague insights and reporting, and colleague-related risk, compliance, and governance.

The Analyst-Data Science will use quantitative analysis to turn complex colleague data into insights, reporting, and recommendations that help leaders make strategic decisions. The role covers enterprise-wide colleague data and analytics requests, executive reporting, dashboards, and strategic initiatives. It also contributes to building an analytical Centre of Excellence for CEG through new approaches, improved ways of working, and scalable delivery of actionable insights. The position spans the analytical lifecycle, including understanding business questions, preparing data, conducting analysis, visualizing findings, and communicating results to technical and non-technical audiences.

Requirements

• Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Engineering, Data Science, or another relevant analytical discipline.
• One to two years of experience applying quantitative analysis, statistical methods, or data visualization to solve business problems in a complex organization.
• Proficiency in manipulating, analyzing, and interpreting data using SQL, Python, R, or equivalent analytical tools.
• Experience extracting and working with data from enterprise data platforms; familiarity with LUMI is essential.
• Understanding of statistical and experimental concepts, including distributions, regression, confidence intervals, correlation, statistical significance, p-values, and hypothesis testing.
• Experience developing reports, dashboards, or visualizations using tools such as Tableau, Power BI, or equivalent technologies.
• Strong analytical curiosity, attention to detail, and ability to work through ambiguous or complex business questions.
• Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
• Strong written and verbal communication skills, including the ability to use data storytelling to make complex findings accessible to technical and non-technical audiences.
• Collaborative mindset and ability to build effective relationships with colleagues and partners across functions.
• Eligibility to work in the United States with American Express; the company will not pursue visa sponsorship for these positions.

Nice To Haves

• Experience in People Analytics or working with HR data.

Responsibilities

• Gather, validate, clean, and prepare data from multiple sources, applying appropriate quality checks before exploratory analysis.
• Analyze complex colleague datasets to identify patterns, trends, and opportunities, and translate findings into actionable insights and recommendations.
• Develop and maintain dashboards, reports, and visualizations that support informed, data-driven decisions.
• Communicate analytical findings as clear, accessible, and compelling stories for audiences including senior executives.
• Partner with cross-functional teams to understand business challenges, define analytical requirements, and develop data-driven solutions.
• Deliver analysis in response to Blue Box-wide colleague data requests and contribute to strategic initiatives involving colleague data and insights.
• Contribute to the Colleague Data Office’s analytical Centre of Excellence by introducing innovative approaches, reusable analytical methods, and more efficient ways of working.
• Support ad hoc analysis and special projects, adapting to evolving business priorities with flexibility and sound judgment.
• Apply appropriate controls and attention to detail when handling sensitive colleague data.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level