Analyst-Data Science
About The Position
The Analyst-Data Science role is part of Colleague Services within American Express’s Colleague Experience Group, which provides services, capabilities, data, and insights to support the colleague experience. The analyst will work with enterprise-wide colleague data and analytics requests, executive reporting, dashboards, and strategic initiatives. The role covers the analytical lifecycle, including understanding business questions, preparing data, conducting analysis, visualizing findings, and communicating results to technical and non-technical audiences. The analyst will also contribute to developing an analytical Centre of Excellence for the Colleague Experience Group by identifying new approaches, improving ways of working, and helping deliver high-quality, actionable insights at scale.
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 core statistical and experimental concepts, including distributions, regression, confidence intervals, correlation, statistical significance, p-values, and hypothesis testing.
- Experience developing reports, dashboards, or visualizations using 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 different functions.
- Eligibility to work in the United States; American Express 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 meaningful patterns, trends, and opportunities, and translate findings into actionable insights and recommendations.
- Develop and maintain high-quality dashboards, reports, and visualizations 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 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 judgment, and adaptability in response to evolving business priorities.
- Apply appropriate controls and attention to detail when working with sensitive colleague data.
Benefits
- Competitive base salaries
- 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 of 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 the Healthy Minds program
- Career development and training opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
