American Express Travel Related

About the position

The Managers, Data Analytics position at American Express is focused on delivering top-tier analytics and insights for the Consumer Digital Acquisition funnel. This role requires a strong background in data analytics, collaboration with marketing and product teams, and the ability to drive strategic decision-making through data insights.

Responsibilities
• Deliver best-in-class analytics and insights for the Consumer Digital Acquisition funnel.
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• Collaborate with marketing and product development teams to align analytics initiatives with business goals.
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• Facilitate cross-functional collaboration in complex, geographically dispersed environments.
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• Leverage data insights to drive strategic decision-making and innovation.
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• Build and maintain enterprise-level dashboards for performance monitoring.
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• Customize dashboards to track key performance indicators and metrics.
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• Design and conduct hypothesis tests and experiments to optimize user experience.
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• Measure performance of A/B tests across web, native app, and hybrid platforms.
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• Query and manipulate data using SQL Server and MySQL databases.
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• Extract, transform, and load (ETL) data from various sources.
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• Visualize data using Power BI and Tableau.
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• Utilize programming languages such as Python and R.
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• Work with data interchange formats including JSON and XML.

Requirements
• Master’s degree in Statistics, Actuarial Science, Management Information Systems, Business Administration, Finance, Economics, Marketing Analytics, or a related field.
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• 2 years of experience with comprehensive data analytics and integration.
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• 2 years of experience collaborating with marketing and product development teams.
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• 2 years of experience facilitating cross-functional collaboration in complex environments.
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• 2 years of experience leveraging data insights for strategic decision-making.
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• 2 years of experience building and maintaining enterprise-level dashboards.
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• 2 years of experience customizing dashboards for key performance indicators.
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• 2 years of experience designing and conducting hypothesis tests and experiments.
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• 2 years of experience measuring performance of A/B tests across various platforms.
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• Experience querying and manipulating data using SQL Server and MySQL.
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• Experience with ETL processes from various data sources.
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• Experience with data visualization tools like Power BI and Tableau.
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• Proficiency in programming languages such as Python and R.
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• Familiarity with data interchange formats like JSON and XML.

Nice-to-haves

Benefits
• Telecommuting available up to 2 days per week.