American Express is seeking an Analyst-Data Science to turn colleague data into insights, reporting, and recommendations that inform strategic decisions. The role spans data preparation and analysis, dashboard development, communicating findings, and contributing to the Colleague Data Office’s analytical Centre of Excellence.
Gather, validate, clean and prepare data from multiple sources, applying appropriate quality checks before conducting exploratory analysis
Analyse complex colleague datasets to identify meaningful patterns, trends and opportunities, translating findings into actionable insights and recommendations
Develop and maintain high-quality dashboards, reports and visualisations that enable leaders and stakeholders to make informed, data-driven decisions
Translate complex analytical findings into clear, accessible and compelling stories for a broad range of audiences, including senior executives
Partner with cross-functional teams to understand business challenges, define analytical requirements and develop practical, data-driven solutions
Deliver analysis in response to Blue Box-wide colleague data requests and contribute to strategic initiatives requiring colleague data and insights
Contribute to the development of 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, demonstrating flexibility, sound judgement and adaptability in response to evolving business priorities
Apply appropriate controls and attention to detail when working with sensitive colleague data
Qualification
Required
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 visualisation to solve business problems in a complex organisation
Proficiency in manipulating, analysing 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 core statistical and experimental concepts, including distributions, regression, confidence intervals, correlation, statistical significance, p-values and hypothesis testing
Experience developing reports, dashboards or visualisations using tools such as Tableau, Power BI or equivalent technologies
Strong analytical curiosity, attention to detail and the 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, with the ability to use data storytelling to make complex findings accessible to technical and non-technical audiences
A collaborative mindset and the ability to build effective relationships with colleagues and partners across different functions
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions
Preferred
Experience in People Analytics or working with HR data is preferred
Benefits
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
American Express is a financial services company that provides credit cards, charge cards, payment solutions, and related services.
