Senior Analyst - Data Analytics

$60,000 - $110,000/Yr

American Express - New York, NY

Full-time - Mid Level

New York, NY

Credit Intermediation and Related Activities

About the position

The Senior Analyst - Data Analytics role at American Express involves leveraging data to enhance decision-making and improve business outcomes. The position requires collaboration with cross-functional teams to analyze complex datasets, extract actionable insights, and drive strategic initiatives. The successful candidate will be part of a diverse tech team, focusing on data-driven business processes and metrics to support the company's objectives.

Responsibilities

• 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.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related discipline
• 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

Nice-to-haves

• Knowledge of SAS is a plus but not required
• Thorough understanding of enterprise infrastructure technologies such as Compute, Storage, Network, Mainframe to inform model development and adjustments is a plus

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 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