Analyst - Data Analytics

With a focus on digitization, innovation, and analytics, the Enterprise Digital teams creates central, scalable platforms and customer experiences to help markets across all of these priorities.  Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of Enterprise Digital Teams is the integration of diverse skills across all its remit. Enterprise Digital Teams has a very broad range of responsibilities, resulting in a broad range of initiatives around the world.

The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing and Digital Acquisition & Membership experiences as well as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value.

Responsibilities

• This role will report to the Manager of Paid Search & Product Analytics team and will be based in Gurgaon. The candidate will be responsible for delivery of highly impactful analytics to optimize our performance marketing channels.

  • Deliver strategic analytics focused on Performance Marketing channels
  • Define and build key KPIs to monitor the channel/product health and success
  • Support the development of new products and capabilities
  • Deliver read out of campaigns uncovering insights and learnings that can be utilized to further optimize the channels
  • Gain deep functional understanding of the enterprise-wide product capabilities and associated platforms over time and ensure analytical insights are relevant and actionable
  • Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data

Qualifications

• Minimum Qualifications

  • Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science)
  • Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL.
  • Experience in large data processing and handling, understanding in data science is a plus.
  • Ability to work in a dynamic, cross-functional environment, with strong attention to detail.
  • Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment.

   

  Preferred Qualifications

  • Prior experience in performance marketing will be preferred