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About Company :
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.
These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more.
Job Description :
The analyst will be responsible for growing and deepening analytics on Cardmember Personalization treatments & end-to-end arbitration framework for digital and non-digital Customer Acquisition Channels. The analyst will analyze the current arbitration framework and recommend improvements in methodology by proposing hypotheses & testing using T&L frameworks. He / She would be expected to collaborate with multiple business partners – Decision Science, Marketing, Product and Technology, and stay abreast of any changes and corresponding business impacts. We are looking for self-starters who have strong technical acumen as well as can take initiative and drive engagement in and across the teams.
We are seeking a data analyst to join our data team, where they will be responsible for managing our master data set, creating reports, and resolving data problems.
Roles and Responsibilities:
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- Drive Revenue & improve business efficiency by strengthening the personalization framework.
- Maintain & improve customer engagement by extending right offers to right customers.
- Influence decisioning across partner ecosystem with strong analytical & strategic thinking.
- Challenge the conceptual soundness, theory, and approach of current arbitration framework.
- Leadership Outcomes:
- Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
- Lead with an external perspective, challenge status quo, and bring continuous innovation to our existing offerings.
- Demonstrate learning agility, make decisions quickly and with the highest level of integrity.
Minimum Qualifications
- Graduate/Post Graduate Degree in Statistics/Mathematics/Economics/Engineering/Management
- Degree in quantitative field or work experience in the Payments business/ Credit Card business
- Knowledge in statistics like distributions, hypothesis testing, parametric and non-parametric tests etc.
- Expertise in an analytical language (Python, Pyspark or the equivalent), and experience with databases (Hive, SQL or the equivalent)
- Proficient in presentation tools, including Excel and PowerPoint
- Demonstrated ability to frame business problems, leverage external thinking, deliver business insights, and communicate clearly.
- Ability to work effectively in a team environment.
Preferred Qualifications
- More than 1 year of experience with Payments Industry/Credit Cards Industry or Consumer Fraud/Market risk related experience
- 0-3 years relevant experience in Analytics. Experience in Digital Activity/ Clickstream analysis is a plus
- Practical experience on SQL (Hive, Yellow Brick, Python or Teradata)
- Having exposure to various ML Modelling techniques is a plus
