Manager / Senior Manager - Analytics & Experimentation

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Job Description

American Express is one of the world’s largest and most respected financial institutions. It earned its success and reputation through strong, analytically backed decisions. Analytics are core to the company’s success and American Express has an exciting opportunity to drive business decisions through analytics & testing.


We are looking for a Manager to join our Application Experience Analytics & Testing team. This high-performance team leverages digital data, analytics and experimentation (including split testing) to accurately understand and optimize customer experience. The team works in strong partnerships with Product, Technologies, and Marketing teams to support robust, data-backed, analytical decisions. The Application Experience Analytics & Testing Team is a part of Enterprise Digital & Analytics (EDA) and, more widely, the Global Consumer Services Group (GCSG).


We are seeking a colleague with strong quantitative and statistics training, deep knowledge of what makes a business successful, a passion for telling stories with insights gleaned from data, and the ability to communicate results clearly to non-technical colleagues. This role will require the successful candidate to tackle intellectual challenges and innovate to establish the future of analytics & testing.


If you’re excited by this role, but aren’t (yet) qualified for managerial responsibilities, please consider our Analytics & Testing Analyst, Application Experience opening instead.


What you’ll do in this role: 

  • Quantitatively analyze user behaviors to help determine product strategy and drive business decisions, leveraging a deep analytical understanding of your product’s weaknesses and opportunities.

  • Provide management with monthly deep-dive quantitative analyses and present them in an immediately usable format, extracting actionable insights from massive, complex data sets.

  • Qualify insights through the use and advancement of statistical science and digital testing techniques, including A/B/n, MVT, experimental design, multi-arm bandits, etc.

  • Collaborate with product, technologies and peer analytics teams to influence priorities and develop knowledge.

  • Identify opportunities to automate repetitive analyses, including leveraging AI and machine learning.

  • Lead, engage and develop a high-performing analyst and guide them to deliver superior business results.




Our ideal candidate: 

  • 2-3 years of progressive professional experience using quantitative analysis and statistical methods to make business-focused recommendations.

  • Proven achievements resulting from data analysis in both collaborative and independent work environments.

  • Experience with ambiguous and complex analytical assignments, including using unstructured data, preferably with raw clickstream data and datasets of 100M+ records.

  • Experience with SQL or other query language required, with ability to write code independently, efficiently and accurately. Experience with HQL and Big Data tools (Hadoop, Hive, Python) is a plus.

  • Understanding of statistical and experimentation concepts such as distributions, regression, confidence, correlation, significance, P-value, T-tests, etc.

  • Ability to quickly establish productive relationships with internal customers, such as product owners.
  • Excellent communication skills with proven success in communicating complex ideas and influencing business partners.  
  • Flexibility and adaptability to work within tight deadlines and changing priorities. 

  • Ability to handle multiple priorities with effective project management and work allocation. 
  • Masters or PhD in Statistics, Economics, Mathematics, Engineering or related analytical field.

  • Formal people leadership experience preferred.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.  

ReqID: 19019518
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Nov 8, 2019, 7:35:48 AM