Senior Managers, Data Analytics - job 3 of 4

As a Senior Manager, Data Analytics at American Express, you'll focus on analyzing market trends to identify growth opportunities, develop and execute strategies for business development, and liaise with various internal partners to improve customer experiences. Your role is crucial in driving engagement and spend on our card portfolios while monitoring the performance of key customer segments.

To be considered for the Senior Manager, Data Analytics position at American Express, you must possess a Master's degree in fields like Business Administration, Finance, Marketing, or Engineering, and have a year of relevant experience in data and business analysis. Experience in data analysis methodologies, predictive modeling, and programming languages such as Python or SQL is also required.

The Senior Manager, Data Analytics role at American Express requires strong technical skills, including proficiency in MS Excel for data structuring and reporting, experience with SQL and big data platforms, and knowledge of statistical tools like SAS and machine learning. Familiarity with programming languages such as Hive, Python, R, and VBA is also beneficial for this role.

As a Senior Manager, Data Analytics at American Express, you'll enjoy a comprehensive benefits package, including competitive base salaries, bonus incentives, a robust retirement plan with company matching, and generous parental leave. You'll also have access to wellness programs, financial coaching, and ongoing career development opportunities, fostering a supportive workplace environment.

Yes, the Senior Manager, Data Analytics position at American Express offers the flexibility of telecommuting up to two days a week. This allows you to maintain a healthy work-life balance while contributing to impactful data analytics projects from the comfort of your home.

In your response, focus on specific analytical projects that showcase your ability to draw insights from data. Highlight tools used, results achieved, and how your analysis led to tangible business growth, making it clear how your background aligns with the needs at American Express.

Discuss your systematic approach to analyzing data to discover trends and opportunities. Provide examples of how you've previously prioritized projects based on potential ROI, and detail any frameworks or methodologies you utilize to ensure efficient execution.

Explain specific statistical techniques you've employed for time-series analysis, such as ARIMA models or moving averages. Illustrate your answer with a practical example where these techniques provided valuable forecasting insights that influenced business decisions.

Emphasize your communication skills and experience in working with diverse teams, as well as how you bridge data insights with business objectives. Highlight instances where collaboration significantly improved project outcomes and stakeholder engagement.

Summarize your proficiency with SQL and any big data platforms you’ve worked with, such as Hadoop or Spark. Share specific examples of how you leveraged these tools for data extraction, transformation, or analysis to meet project goals.

Discuss a predictive model you've created, including the problem it solved, the data used, and the impact it had on the business. Detail your methodology, any challenges faced, and how you validated the model's effectiveness.

Talk about the standard processes you follow to validate data sources, cross-check findings, and maintain accuracy in your reports. Mention tools or software that assist in ensuring high data integrity.

Explain the importance of integrating stakeholder feedback into your data analysis processes. Illustrate with an example of how feedback informed your strategy and led to enhanced outcomes or adjustments in your approach.

Share your strategies for continuous learning, such as following industry publications, attending relevant conferences, or participating in professional networks. Mention how this knowledge impacts your work and improves your analytical capabilities.

Describe your approach to managing multiple projects, including prioritization techniques and how you communicate with stakeholders. Provide examples of how you’ve successfully navigated tight deadlines and shifting priorities without sacrificing quality.