Senior Analyst - Business Banking Data Analytics

American ExpressAtlanta, GA
13hHybrid

About The Position

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? The Global Commercial Services (GCS) Product Analytics group is currently hiring for a Senior Analyst, Business Banking Analytics who will be responsible for delivering insights to optimize performance, inform product design, and drive customer engagement with the Business Banking portfolio. The ideal candidate will be passionate about leveraging a deep understanding of customer and product data to drive business performance. He or she will bring a unique balance of technical skills combined with a strategic mindset and the ability to communicate effectively.

Requirements

  • Prior experience in an analytical role, performing deep-dive analyses and defining key business metrics that drive strategy; Financial services experiences is a plus
  • Bachelor’s degree in a quantitative field (e.g. statistics, engineering, math, science, economics, etc).
  • Experience working with large datasets, including experience planning, conducting, interpreting, and explaining the outcomes of data analyses
  • Extensive experience with analytic tools and visualization software (e.g., Tableau, Looker)
  • Experience working collaboratively across teams and with partners across all levels of an organization
  • Demonstrated strength in written and verbal communication, adjusting message to audience and succinctly summarizing complex concepts
  • Extremely strong SQL skills and proficiency in a scripting language (Python or R) for data analysis
  • Familiarity with statistical methods and concepts

Nice To Haves

  • Analytical Skills: Able to structure and process qualitative or quantitative data and draw insightful conclusions
  • Flexibility/Adaptability: Not thrown off by frequently changing priorities and conditions; copes effectively with complexity and change
  • Drive & Persistence: Proactive & self-driven; Resourceful, has grit, and a positive “can do” attitude. Possesses a strong willingness to work hard and efficiently to get the job done
  • Collaboration: Ability to successfully influence and bring together internal and external stakeholders to achieve shared goals
  • Communication Skills: Communicates information, ideas, and concepts clearly
  • Attention to Detail: Does not let important details slip through the cracks or derail a project
  • Lots of questions: Curious, loves learning. Not willing to accept surface level answers

Responsibilities

  • Support product strategy & decision making by conducting in-depth ad hoc analysis and deep dives into data to evaluate effectiveness of product campaigns and features
  • Become an expert in product and develop deep understanding of technical and functional capabilities
  • Define and deliver robust and scalable reporting that provides accurate and timely visibility into key product metrics and trends
  • Evaluate and integrate new data sources by performing data profiling and validation, and design structured, scalable datasets to support reliable reporting, analytics, and business decision-making.
  • Design and implement scalable dashboards and data tools to enable business users to access product data in self-service fashion
  • Complete end-to-end analytical projects with minimal direct supervision, including scoping, data preparation, data analysis, and visualization
  • Communicate conclusions, implications and recommendations of analyses in a clear, concise fashion

Benefits

  • Competitive base salaries
  • Bonus incentives
  • 6%25 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
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