Data Analytics Job Openings At American Express

Qualifications

• 1 to 3 years of relevant analytics experience.
• Degree in business, economics, statistics, mathematics, engineering, or finance.
• Strong analytical, strategic thought leadership and problem-solving skills with ability to solve unstructured and complex business problems.
• Team player: Able to collaborate with partners and team members to define key business objectives, and to align on solutions that drive actionable items.
• Knowledge of Hive, Python, PySpark, SQL encompassing data manipulation and statistical modeling/data-mining techniques.
• Strong interpersonal, written, verbal communication, presentation, and storytelling skills enabling ability to interact effectively with business leaders and to present structured and compelling messages addressed to various levels within the organization.
• Results driven with strong project management skills, ability to work on multiple priorities and ensure track to exceed team goals.
• Passion for data science and machine learning: Proven track record of independently developing novel analytical solutions optimizing business processes or product constructs.
• Proficient in MS Office especially excel and power-point.
• Strong ability to drive results, self-starter.
• Basic understanding of Agile product development
• Experience in digital domain preferred.

Responsibilities:

Specific job responsibilities may vary as per the team responsibilities, but will involve aspects of the below:

• Perform in-depth data analysis to deliver strategic priorities focused on the product roadmap for GCS Digital Experiences
• Define KPIs to measure the efficiency of digital channels/products and develop customer segmentation to drive “adoption and engagement” for AXP customers.
• Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data.
• Gain deep functional understanding of the GCS digital channels over time and ensure analytical insights are relevant and actionable.
• Flawless execution of the development, validation and implementation of statistical projects and automated reports.
• Evaluate impact on business of different strategies/initiatives and generate insights and recommendations to fuel business growth.
• Build partnerships with internal stakeholders such as Product, Technologies, Field, Servicing and Marketing to plan and prioritize various initiatives.
• Empower self-serve by creating automated dashboards and reports using Adobe analytics suite or Tableau.
• Continuously broaden and strengthen knowledge of advance analytical methods and tools to further evolve our analytical practices.