Senior Analyst-Data Science

Responsibilities

• Support Data Driven Strategy: Conduct analysis to evaluate marketing and sales performance, identify customer trends, and uncover opportunities for growth
• Deliver actionable insights: Translate complex data into clear recommendations for senior leadership and functional partners, supporting decision-making on customer engagement, product performance, and revenue outcomes
• Enable cross-functional decision-making: Effectively engage and deliver results in collaboration with key partners including the functional channel owners, the business partners and end-users of analytical solutions and technology partners
• Influence and storytelling: Communicate insights in a compelling way, shaping strategic narratives that drive alignment among cross-functional stakeholders and senior leaders
• Champion Innovation: Bring forward new ideas and experiment and apply emerging Gen AI capabilities to solve business problems and Amex use cases

Qualifications

Minimum Qualifications:

• Experience of 2-4 years with minimum Bachelor's degree in a quantitative field (e.g. Statistics, Engineering, Mathematics and Economics).
• Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results
• Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors
• Strong programming (SQL and Python) skills with experience in Machine Learning and Data Science
• Experience in applying emerging GenAI capabilities to business problems
• Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies
   
  Preferred Qualifications:
• Experience in Advanced GenAI techniques, marketing/acquisition analytics/data science; relevant industry experience preferred
• Master's degree